Mathematics and Computer Studies

Please Note:

Prospective job candidates are URGED to check with the respective department, dean, or payroll office for a more detailed description of qualifications.  DO NOT apply for jobs via CUPE 3912, but directly with the contact person for each job posting. Some departments may accept applications online; others might not. It is our recommendation that you include a COMPLETE CV with every application, even if it is not requested.

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DAL

Position Title Part-Time Academic: MATH 1000.03 Differential & Integral Calculus I – Summer 2024
Posting Number PTAP2383P
Department/Unit Mathematics & Statistics
Location Halifax, Nova Scotia, Canada
Job Summary & Key Responsibilities
The Part-Time Academic will be responsible for the delivery of Differential & Integral Calculus I (MATH1000.03) in the summer term of 2024. The contract dates for teaching/delivery are from May 1 to August 31.

The topics to be covered in the course are available from the Department Chair. Course descriptions are provided in the Undergraduate Calendar published online ( https://academiccalendar.dal.ca ) by the Registrar’s Office, Dalhousie University.

Please see the academic timetable ( www.dal.ca/timetable ) for the days & times of this course. Please note this course is being delivered online.
Qualifications/Requirements of Position
A combination of M.Sc. degree in Mathematics or Statistics and previous teaching experience is required. Completion of a PhD or PhD in progress is considered an asset. Experience with course delivery in an online environment is also an asset. The successful applicant must have demonstrated knowledge of the subject matter.

Please provide teaching evaluations if available.
Salary Range/Pay Rate Per CUPE Collective Agreement – Local 3912
Additional Information
All offers of employment as a Part-Time Academic are conditional upon sufficient student enrolment in the course and approval by the University. All qualified candidates are encouraged to apply; however, Canadians and permanent residents will be given priority. Dalhousie University commits to achieving inclusive excellence through continually championing equity, diversity, inclusion, and accessibility. The university encourages applications from Indigenous persons (especially Mi’kmaq), persons of Black/African descent (especially African Nova Scotians), and members of other racialized groups, persons with disabilities, women, and persons identifying as members of 2SLGBTQ+ communities, and all candidates who would contribute to the diversity of our community. For more information, please visit www.dal.ca/hiringfordiversity.
Posting Detail Information 

Term of appointment May 1, 2024 to August 31, 2024
Open Date
Close Date 03/31/2024
Open Until Filled
Quick Link for Direct Access to Posting https://dal.peopleadmin.ca/postings/16132

Documents Needed to Apply

Required Documents

  1. Cover Letter
  2. Résumé / Curriculum Vitae (CV)
  3. List of referees

Optional Documents

  1. Teaching Dossier
  
MSVU

————————————————
Department/Faculty: Mathematics
Course Name: Introduction to Statistics II
Course Code: MATH 2209 38
Academic Term: Summer Session II
Class Timetable: MW 6:30PM – 7:45PM Multi-Mode Online

Course Unit Value: 0.5
—————————————————
Start Date: 7/2/2024
End Date: 8/16/2024
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Master’s degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
advanced coursework in Statistics.In addition, experience teaching similar introductory statistics to
non-science majors is required.Candidates must also have experience using the Blackboard/Collaborate
virtual classroom or other similar Learning Management System. Candidates
must be willing to participate in additional training in the optimum range
of teaching operations in the Moodle LMS and in the Collaborate virtual
classroom, if necessary, to reach the required level of competency before
the course begins. Candidates must also be sensitive to the needs of
distant, mature and part-time learners. Synchronous and asynchronous
discussions occur during the week online.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
This is a coordinated course with a laboratory component. The laboratory
components are taught by the laboratory instructor.  Instructors are
required to follow the common course syllabus and guidelines for
assignments, midterm and final exams, and grades.

Instructors are required to invigilate proctored tests and exams for
students writing on campus (mandatory for students within 100 kms of
campus). This course syllabus is required to have at least one proctored
midterm exam and one proctored final exam.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Danielle Cox, Dept. of Mathematics and Statistics
Email: msvumath@msvu.ca

Application deadline: 3/18/2024
——————————————–

————————————————-
Department/Faculty: Mathematics
Course Name: Introduction to Statistics II
Course Code: MATH 2209 28
Academic Term: Summer Session II
Class Timetable: W 6:30PM – 9:00PM Multi-Mode Online

Course Unit Value: 0.5
—————————————————
Start Date: 7/2/2024
End Date: 8/16/2024
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Master’s degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
advanced coursework in Statistics.In addition, experience teaching similar introductory statistics to
non-science majors is required.Candidates must also have experience using the Blackboard/Collaborate
virtual classroom or other similar Learning Management System. Candidates
must be willing to participate in additional training in the optimum range
of teaching operations in the Moodle LMS and in the Collaborate virtual
classroom, if necessary, to reach the required level of competency before
the course begins. Candidates must also be sensitive to the needs of
distant, mature and part-time learners. Synchronous and asynchronous
discussions occur during the week online.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
This is a coordinated course with a laboratory component. The laboratory
components are taught by the laboratory instructor.  Instructors are
required to follow the common course syllabus and guidelines for
assignments, midterm and final exams, and grades.

Instructors are required to invigilate proctored tests and exams for
students writing on campus (mandatory for students within 100 kms of
campus). This course syllabus is required to have at least one proctored
midterm exam and one proctored final exam.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Danielle Cox, Dept. of Mathematics and Statistics
Email: msvumath@msvu.ca

Application deadline: 3/18/2024
——————————————–

——————————————–
Department/Faculty: Mathematics
Course Name: Introduction to Statistics II
Course Code: MATH 2209 19
Academic Term: Summer Session II
Class Timetable: T 7:30PM – 10:00PM Multi-Mode Online
Course Unit Value: 0.5
—————————————————
Start Date: 7/2/2024
End Date: 8/16/2024

—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Master’s degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
advanced coursework in Statistics.In addition, experience teaching similar introductory statistics to
non-science majors is required.Candidates must also have experience using the Blackboard/Collaborate
virtual classroom or other similar Learning Management System. Candidates
must be willing to participate in additional training in the optimum range
of teaching operations in the Moodle LMS and in the Collaborate virtual
classroom, if necessary, to reach the required level of competency before
the course begins. Candidates must also be sensitive to the needs of
distant, mature and part-time learners. Synchronous and asynchronous
discussions occur during the week online.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
This is a coordinated course with a laboratory component. The laboratory
components are taught by the laboratory instructor.  Instructors are
required to follow the common course syllabus and guidelines for
assignments, midterm and final exams, and grades.

Instructors are required to invigilate proctored tests and exams for
students writing on campus (mandatory for students within 100 kms of
campus). This course syllabus is required to have at least one proctored
midterm exam and one proctored final exam.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Danielle Cox, Dept. of Mathematics and Statistics
Email: msvumath@msvu.ca

Application deadline: 3/18/2024
———————————————–

—————————————–
Department/Faculty: Mathematics
Course Name: Introduction to Statistics II
Course Code: MATH 2209 19
Academic Term: Summer Session I
Class Timetable: W 7:30PM – 10:00PM Multi-Mode Online

Course Unit Value: 0.5
—————————————————
Start Date: 5/6/2024
End Date: 6/21/2024
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Master’s degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
advanced coursework in Statistics.In addition, experience teaching similar introductory statistics to
non-science majors is required.Candidates must also have experience using the Blackboard/Collaborate
virtual classroom or other similar Learning Management System. Candidates
must be willing to participate in additional training in the optimum range
of teaching operations in the Moodle LMS and in the Collaborate virtual
classroom, if necessary, to reach the required level of competency before
the course begins. Candidates must also be sensitive to the needs of
distant, mature and part-time learners. Synchronous and asynchronous
discussions occur during the week online.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
This is a coordinated course with a laboratory component. The laboratory
components are taught by the laboratory instructor.  Instructors are
required to follow the common course syllabus and guidelines for
assignments, midterm and final exams, and grades.

Instructors are required to invigilate proctored tests and exams for
students writing on campus (mandatory for students within 100 kms of
campus).  This course syllabus is required to have at least one proctored
midterm exam and one proctored final exam.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Danielle Cox, Dept. of Mathematics and Statistics
Email: msvumath@msvu.ca

Application deadline: 3/4/2024
—————————————–

—————————————–
Department/Faculty: Mathematics
Course Name: Introduction to Statistics II
Course Code: MATH 2209 18
Academic Term: Summer Session I
Class Timetable: T 7:30PM – 10:00PM Multi-Mode Online

Course Unit Value: 0.5
—————————————————
Start Date: 5/6/2024
End Date: 6/21/2024
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Master’s degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
advanced coursework in Statistics.In addition, experience teaching similar introductory statistics to
non-science majors is required.Candidates must also have experience using the Blackboard/Collaborate
virtual classroom or other similar Learning Management System. Candidates
must be willing to participate in additional training in the optimum range
of teaching operations in the Moodle LMS and in the Collaborate virtual
classroom, if necessary, to reach the required level of competency before
the course begins. Candidates must also be sensitive to the needs of
distant, mature and part-time learners. Synchronous and asynchronous
discussions occur during the week online.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
This is a coordinated course with a laboratory component. The laboratory
components are taught by the laboratory instructor.  Instructors are
required to follow the common course syllabus and guidelines for
assignments, midterm and final exams, and grades.

Instructors are required to invigilate proctored tests and exams for
students writing on campus (mandatory for students within 100 kms of
campus).  This course syllabus is required to have at least one proctored
midterm exam and one proctored final exam.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Danielle Cox, Dept. of Mathematics and Statistics
Email: msvumath@msvu.ca

Application deadline: 3/4/2024
———————————————

————————————————
Department/Faculty: Mathematics
Course Name: Introduction to Statistics I
Course Code: MATH 2208 39
Academic Term: Summer Session I
Class Timetable: MW 6:30PM – 7:45PM Multi-Mode Online

Course Unit Value: 0.5
—————————————————
Start Date: 5/6/2024
End Date: 6/21/2024
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Master’s degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
advanced coursework in Statistics.In addition, experience teaching similar introductory statistics to
non-science majors is required.Candidates must also have experience using the Blackboard/Collaborate
virtual classroom or other similar Learning Management System. Candidates
must be willing to participate in additional training in the optimum range
of teaching operations in the Moodle LMS and in the Collaborate virtual
classroom, if necessary, to reach the required level of competency before
the course begins. Candidates must also be sensitive to the needs of
distant, mature and part-time learners. Synchronous and asynchronous
discussions occur during the week online.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
This is a coordinated course with a laboratory component. The laboratory
components are taught by the laboratory instructor.  Instructors are
required to follow the common course syllabus and guidelines for
assignments, midterm and final exams, and grades.

Instructors are required to invigilate proctored tests and exams for
students writing on campus (mandatory for students within 100 kms of
campus).  This course syllabus is required to have at least one proctored
midterm exam and one proctored final exam.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Danielle Cox, Dept. of Mathematics and Statistics
Email: msvumath@msvu.ca

Application deadline: 3/4/2024
——————————————-

———————————————-
Department/Faculty: Mathematics
Course Name: Introduction to Statistics I
Course Code: MATH 2208 38
Academic Term: Summer Session I
Class Timetable: TTH 1:00PM – 2:15PM Multi-Mode Online

Course Unit Value: 0.5
—————————————————
Start Date: 5/6/2024
End Date: 6/21/2024
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Master’s degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
advanced coursework in Statistics.In addition, experience teaching similar introductory statistics to
non-science majors is required.Candidates must also have experience using the Blackboard/Collaborate
virtual classroom or other similar Learning Management System. Candidates
must be willing to participate in additional training in the optimum range
of teaching operations in the Moodle LMS and in the Collaborate virtual
classroom, if necessary, to reach the required level of competency before
the course begins. Candidates must also be sensitive to the needs of
distant, mature and part-time learners. Synchronous and asynchronous
discussions occur during the week online.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
This is a coordinated course with a laboratory component. The laboratory
components are taught by the laboratory instructor.  Instructors are
required to follow the common course syllabus and guidelines for
assignments, midterm and final exams, and grades.

Instructors are required to invigilate proctored tests and exams for
students writing on campus (mandatory for students within 100 kms of
campus).  This course syllabus is required to have at least one proctored
midterm exam and one proctored final exam.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Danielle Cox, Dept. of Mathematics and Statistics
Email: msvumath@msvu.ca

Application deadline: 3/4/2024
————————————————

——————————————–
Department/Faculty: Mathematics
Course Name: Introduction to Statistics I
Course Code: MATH 2208 28
Academic Term: Summer Session I
Class Timetable: T 6:30PM – 9:00PM Multi-Mode Online

Course Unit Value: 0.5
—————————————————
Start Date: 5/6/2024
End Date: 6/21/2024
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Master’s degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
advanced coursework in Statistics.In addition, experience teaching similar introductory statistics to
non-science majors is required.Candidates must also have experience using the Blackboard/Collaborate
virtual classroom or other similar Learning Management System. Candidates
must be willing to participate in additional training in the optimum range
of teaching operations in the Moodle LMS and in the Collaborate virtual
classroom, if necessary, to reach the required level of competency before
the course begins. Candidates must also be sensitive to the needs of
distant, mature and part-time learners. Synchronous and asynchronous
discussions occur during the week online.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
This is a coordinated course with a laboratory component. The laboratory
components are taught by the laboratory instructor.  Instructors are
required to follow the common course syllabus and guidelines for
assignments, midterm and final exams, and grades.

Instructors are required to invigilate proctored tests and exams for
students writing on campus (mandatory for students within 100 kms of
campus).  This course syllabus is required to have at least one proctored
midterm exam and one proctored final exam.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Danielle Cox, Dept. of Mathematics and Statistics
Email: msvumath@msvu.ca

Application deadline: 3/4/2024
———————————————

——————————————-
Department/Faculty: Mathematics
Course Name: Introduction to Statistics I
Course Code: MATH 2208 19
Academic Term: Summer Session I
Class Timetable: W 6:30PM – 9:00PM Multi-Mode Online

Course Unit Value: 0.5
—————————————————
Start Date: 5/6/2024
End Date: 6/21/2024
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Master’s degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
advanced coursework in Statistics.In addition, experience teaching similar introductory statistics to
non-science majors is required.Candidates must also have experience using the Blackboard/Collaborate
virtual classroom or other similar Learning Management System. Candidates
must be willing to participate in additional training in the optimum range
of teaching operations in the Moodle LMS and in the Collaborate virtual
classroom, if necessary, to reach the required level of competency before
the course begins. Candidates must also be sensitive to the needs of
distant, mature and part-time learners. Synchronous and asynchronous
discussions occur during the week online.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
This is a coordinated course with a laboratory component. The laboratory
components are taught by the laboratory instructor.  Instructors are
required to follow the common course syllabus and guidelines for
assignments, midterm and final exams, and grades.

Instructors are required to invigilate proctored tests and exams for
students writing on campus (mandatory for students within 100 kms of
campus).  This course syllabus is required to have at least one proctored
midterm exam and one proctored final exam.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Danielle Cox, Dept. of Mathematics and Statistics
Email: msvumath@msvu.ca

Application deadline: 3/4/2024
———————————————-

———————————————–
Department/Faculty: Mathematics
Course Name: Introduction to Statistics I
Course Code: MATH 2208 18
Academic Term: Summer Session I
Class Timetable: T 7:30PM – 10:00PM Multi-Mode Online
Course Unit Value: 0.5
—————————————————
Start Date: 5/6/2024
End Date: 6/21/2024
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Master’s degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
advanced coursework in Statistics.

In addition, experience teaching similar introductory statistics to
non-science majors is required.

Candidates must also have experience using the Blackboard/Collaborate
virtual classroom or other similar Learning Management System. Candidates
must be willing to participate in additional training in the optimum range
of teaching operations in the Moodle LMS and in the Collaborate virtual
classroom, if necessary, to reach the required level of competency before
the course begins. Candidates must also be sensitive to the needs of
distant, mature and part-time learners. Synchronous and asynchronous
discussions occur during the week online.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
This is a coordinated course with a laboratory component. The laboratory
components are taught by the laboratory instructor.  Instructors are
required to follow the common course syllabus and guidelines for
assignments, midterm and final exams, and grades.

Instructors are required to invigilate proctored tests and exams for
students writing on campus (mandatory for students within 100 kms of
campus).  This course syllabus is required to have at least one proctored
midterm exam and one proctored final exam.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Danielle Cox, Dept. of Mathematics and Statistics
Email: msvumath@msvu.ca

Application deadline: 3/4/2024
————————————————

—————————————————
Department/Faculty: Mathematics
Course Name: LAB: Intro to Statistics II
Course Code: MATH 209D DD
Academic Term: Summer Session II
Class Timetable: MW 8:00PM – 9:15PM Synchronous Online

Course Unit Value: 0.125
—————————————————
Start Date: 7/2/2024
End Date: 8/16/2024
—————————————————
Qualifications:
Bachelor’s degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics.In addition, experience teaching similar introductory statistics labs to
non-science majors is required.Candidates must also have experience using the Blackboard/Collaborate
virtual classroom or other similar Learning Management System. Candidates
must be willing to participate in additional training in the optimum range
of teaching operations in the Moodle LMS and in the Collaborate virtual
classroom, if necessary, to reach the required level of competency before
the course begins. Candidates must also be sensitive to the needs of
distant, mature and part-time learners. Synchronous and asynchronous
discussions occur during the week online.—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Statistics Laboratory Instructor. The
lab instructor is required to follow the course syllabus and guidelines
for lab assignments and grading.

Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness.

Instructors are required to invigilate proctored tests and exams for
students writing on campus (mandatory for students within 100 kms of
campus).

—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Danielle Cox, Dept. of Mathematics and Statistics
Email: msvumath@msvu.ca

Application deadline: 3/18/2024
——————————————–

——————————————–
Department/Faculty: Mathematics
Course Name: LAB: Intro to Statistics II
Course Code: MATH 209D DC
Academic Term: Summer Session II
Class Timetable: TH 9:30PM – 10:45PM Synchronous Online
Course Unit Value: 0.125
—————————————————
Start Date: 7/2/2024
End Date: 8/16/2024

—————————————————
Qualifications:
Bachelor’s degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics.In addition, experience teaching similar introductory statistics labs to
non-science majors is required.Candidates must also have experience using the Blackboard/Collaborate
virtual classroom or other similar Learning Management System. Candidates
must be willing to participate in additional training in the optimum range
of teaching operations in the Moodle LMS and in the Collaborate virtual
classroom, if necessary, to reach the required level of competency before
the course begins. Candidates must also be sensitive to the needs of
distant, mature and part-time learners. Synchronous and asynchronous
discussions occur during the week online.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Statistics Laboratory Instructor. The
lab instructor is required to follow the course syllabus and guidelines
for lab assignments and grading.Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness.

Instructors are required to invigilate proctored tests and exams for
students writing on campus (mandatory for students within 100 kms of
campus).
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Danielle Cox, Dept. of Mathematics and Statistics
Email: msvumath@msvu.ca

Application deadline: 3/18/2024
—————————————————

———————————————-
Department/Faculty: Mathematics
Course Name: LAB: Intro to Statistics II
Course Code: MATH 209D DC
Academic Term: Summer Session I
Class Timetable: TH 9:30PM – 10:45PM Synchronous Online
Course Unit Value: 0.125
—————————————————
Start Date: 5/6/2024
End Date: 6/21/2024

—————————————————
Qualifications:
Bachelor’s degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics.In addition, experience teaching similar introductory statistics labs to
non-science majors is required.Candidates must also have experience using the Blackboard/Collaborate
virtual classroom or other similar Learning Management System. Candidates
must be willing to participate in additional training in the optimum range
of teaching operations in the Moodle LMS and in the Collaborate virtual
classroom, if necessary, to reach the required level of competency before
the course begins. Candidates must also be sensitive to the needs of
distant, mature and part-time learners. Synchronous and asynchronous
discussions occur during the week online.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Statistics Laboratory Instructor. The
lab instructor is required to follow the course syllabus and guidelines
for lab assignments and grading.Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness.

Instructors are required to invigilate proctored tests and exams for
students writing on campus (mandatory for students within 100 kms of
campus).
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Danielle Cox, Dept. of Mathematics and Statistics
Email: msvumath@msvu.ca

Application deadline: 3/4/2024
————————————————

——————————————–
Department/Faculty: Mathematics
Course Name: LAB: Intro to Statistics II
Course Code: MATH 209D DB
Academic Term: Summer Session II
Class Timetable: TH 8:00PM – 9:15PM Synchronous Online
Course Unit Value: 0.125
—————————————————
Start Date: 7/2/2024
End Date: 8/16/2024

—————————————————
Qualifications:
Bachelor’s degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics.In addition, experience teaching similar introductory statistics labs to
non-science majors is required.Candidates must also have experience using the Blackboard/Collaborate
virtual classroom or other similar Learning Management System. Candidates
must be willing to participate in additional training in the optimum range
of teaching operations in the Moodle LMS and in the Collaborate virtual
classroom, if necessary, to reach the required level of competency before
the course begins. Candidates must also be sensitive to the needs of
distant, mature and part-time learners. Synchronous and asynchronous
discussions occur during the week online.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Statistics Laboratory Instructor. The
lab instructor is required to follow the course syllabus and guidelines
for lab assignments and grading.Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness.

Instructors are required to invigilate proctored tests and exams for
students writing on campus (mandatory for students within 100 kms of
campus).
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Danielle Cox, Dept. of Mathematics and Statistics
Email: msvumath@msvu.ca

Application deadline: 3/18/2024
——————————————

——————————————
Department/Faculty: Mathematics
Course Name: LAB: Intro to Statistics II
Course Code: MATH 209D DB
Academic Term: Summer Session I
Class Timetable: TH 8:00PM – 9:15PM Synchronous Online
Course Unit Value: 0.125
—————————————————
Start Date: 5/6/2024
End Date: 6/21/2024

—————————————————
Qualifications:
Bachelor’s degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics.In addition, experience teaching similar introductory statistics labs to
non-science majors is required.Candidates must also have experience using the Blackboard/Collaborate
virtual classroom or other similar Learning Management System. Candidates
must be willing to participate in additional training in the optimum range
of teaching operations in the Moodle LMS and in the Collaborate virtual
classroom, if necessary, to reach the required level of competency before
the course begins. Candidates must also be sensitive to the needs of
distant, mature and part-time learners. Synchronous and asynchronous
discussions occur during the week online.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Statistics Laboratory Instructor. The
lab instructor is required to follow the course syllabus and guidelines
for lab assignments and grading.Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness.

Instructors are required to invigilate proctored tests and exams for
students writing on campus (mandatory for students within 100 kms of
campus).
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Danielle Cox, Dept. of Mathematics and Statistics
Email: msvumath@msvu.ca

Application deadline: 3/4/2024
——————————————–

———————————————
Department/Faculty: Mathematics
Course Name: LAB: Intro to Statistics II
Course Code: MATH 209D DA
Academic Term: Summer Session II
Class Timetable: TH 6:30PM – 7:45PM Synchronous Online
Course Unit Value: 0.125
—————————————————
Start Date: 7/2/2024
End Date: 8/16/2024

—————————————————
Qualifications:
Bachelor’s degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics.In addition, experience teaching similar introductory statistics labs to
non-science majors is required.Candidates must also have experience using the Blackboard/Collaborate
virtual classroom or other similar Learning Management System. Candidates
must be willing to participate in additional training in the optimum range
of teaching operations in the Moodle LMS and in the Collaborate virtual
classroom, if necessary, to reach the required level of competency before
the course begins. Candidates must also be sensitive to the needs of
distant, mature and part-time learners. Synchronous and asynchronous
discussions occur during the week online.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Statistics Laboratory Instructor. The
lab instructor is required to follow the course syllabus and guidelines
for lab assignments and grading.Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness.

Instructors are required to invigilate proctored tests and exams for
students writing on campus (mandatory for students within 100 kms of
campus).
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Danielle Cox, Dept. of Mathematics and Statistics
Email: msvumath@msvu.ca

Application deadline: 3/18/2024
——————————————

————————————————
Department/Faculty: Mathematics
Course Name: LAB: Intro to Statistics II
Course Code: MATH 209D DA
Academic Term: Summer Session I
Class Timetable: TH 6:30PM – 7:45PM Synchronous Online

Course Unit Value: 0.125
—————————————————
Start Date: 5/6/2024
End Date: 6/21/2024
—————————————————
Qualifications:
Bachelor’s degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics.In addition, experience teaching similar introductory statistics labs to
non-science majors is required.Candidates must also have experience using the Blackboard/Collaborate
virtual classroom or other similar Learning Management System. Candidates
must be willing to participate in additional training in the optimum range
of teaching operations in the Moodle LMS and in the Collaborate virtual
classroom, if necessary, to reach the required level of competency before
the course begins. Candidates must also be sensitive to the needs of
distant, mature and part-time learners. Synchronous and asynchronous
discussions occur during the week online.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Statistics Laboratory Instructor. The
lab instructor is required to follow the course syllabus and guidelines
for lab assignments and grading.Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness.

Instructors are required to invigilate proctored tests and exams for
students writing on campus (mandatory for students within 100 kms of
campus).
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Danielle Cox, Dept. of Mathematics and Statistics
Email: msvumath@msvu.ca

Application deadline: 3/4/2024
———————————————–

—————————————-
Department/Faculty: Mathematics
Course Name: LAB: Intro to Statistics I
Course Code: MATH 208D DG
Academic Term: Summer Session I
Class Timetable: MW 8:00PM – 9:15PM Synchronous Online

Course Unit Value: 0.125
—————————————————
Start Date: 5/6/2024
End Date: 6/21/2024
—————————————————
Qualifications:
Bachelor’s degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics.In addition, experience teaching similar introductory statistics labs to
non-science majors is required.Candidates must also have experience using the Blackboard/Collaborate
virtual classroom or other similar Learning Management System. Candidates
must be willing to participate in additional training in the optimum range
of teaching operations in the Moodle LMS and in the Collaborate virtual
classroom, if necessary, to reach the required level of competency before
the course begins. Candidates must also be sensitive to the needs of
distant, mature and part-time learners. Synchronous and asynchronous
discussions occur during the week online.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Statistics Laboratory Instructor. The
lab instructor is required to follow the course syllabus and guidelines
for lab assignments and grading.Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness.

Instructors are required to invigilate proctored tests and exams for
students writing on campus (mandatory for students within 100 kms of
campus).
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Danielle Cox, Dept. of Mathematics and Statistics
Email: msvumath@msvu.ca

Application deadline: 3/4/2024
———————————————-

——————————————-
Department/Faculty: Mathematics
Course Name: LAB: Intro to Statistics I
Course Code: MATH 208D DE
Academic Term: Summer Session I
Class Timetable: TH 9:30PM – 10:45PM Synchronous Online

Course Unit Value: 0.125
—————————————————
Start Date: 5/6/2024
End Date: 6/21/2024
—————————————————
Qualifications:
Bachelor’s degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics.In addition, experience teaching similar introductory statistics labs to
non-science majors is required.Candidates must also have experience using the Blackboard/Collaborate
virtual classroom or other similar Learning Management System. Candidates
must be willing to participate in additional training in the optimum range
of teaching operations in the Moodle LMS and in the Collaborate virtual
classroom, if necessary, to reach the required level of competency before
the course begins. Candidates must also be sensitive to the needs of
distant, mature and part-time learners. Synchronous and asynchronous
discussions occur during the week online.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Statistics Laboratory Instructor. The
lab instructor is required to follow the course syllabus and guidelines
for lab assignments and grading.Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness.

Instructors are required to invigilate proctored tests and exams for
students writing on campus (mandatory for students within 100 kms of
campus).
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Danielle Cox, Dept. of Mathematics and Statistics
Email: msvumath@msvu.ca

Application deadline: 3/4/2024
———————————————

—————————————
Department/Faculty: Mathematics
Course Name: LAB: Intro to Statistics I
Course Code: MATH 208D DD
Academic Term: Summer Session I
Class Timetable: TH 8:00PM – 9:15PM Synchronous Online

Course Unit Value: 0.125
—————————————————
Start Date: 5/6/2024
End Date: 6/21/2024
—————————————————
Qualifications:
Bachelor’s degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics.In addition, experience teaching similar introductory statistics labs to
non-science majors is required.Candidates must also have experience using the Blackboard/Collaborate
virtual classroom or other similar Learning Management System. Candidates
must be willing to participate in additional training in the optimum range
of teaching operations in the Moodle LMS and in the Collaborate virtual
classroom, if necessary, to reach the required level of competency before
the course begins. Candidates must also be sensitive to the needs of
distant, mature and part-time learners. Synchronous and asynchronous
discussions occur during the week online.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Statistics Laboratory Instructor. The
lab instructor is required to follow the course syllabus and guidelines
for lab assignments and grading.Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness.

Instructors are required to invigilate proctored tests and exams for
students writing on campus (mandatory for students within 100 kms of
campus).
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Danielle Cox, Dept. of Mathematics and Statistics
Email: msvumath@msvu.ca

Application deadline: 3/4/2024
——————————————

——————————————–
Department/Faculty: Mathematics
Course Name: LAB: Intro to Statistics I
Course Code: MATH 208D DC
Academic Term: Summer Session I
Class Timetable: TH 6:30PM – 7:45PM Synchronous Online

Course Unit Value: 0.125
—————————————————
Start Date: 5/6/2024
End Date: 6/21/2024
—————————————————
Qualifications:
Bachelor’s degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics.In addition, experience teaching similar introductory statistics labs to
non-science majors is required.Candidates must also have experience using the Blackboard/Collaborate
virtual classroom or other similar Learning Management System. Candidates
must be willing to participate in additional training in the optimum range
of teaching operations in the Moodle LMS and in the Collaborate virtual
classroom, if necessary, to reach the required level of competency before
the course begins. Candidates must also be sensitive to the needs of
distant, mature and part-time learners. Synchronous and asynchronous
discussions occur during the week online.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Statistics Laboratory Instructor. The
lab instructor is required to follow the course syllabus and guidelines
for lab assignments and grading.Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness.

Instructors are required to invigilate proctored tests and exams for
students writing on campus (mandatory for students within 100 kms of
campus).
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Danielle Cox, Dept. of Mathematics and Statistics
Email: msvumath@msvu.ca

Application deadline: 3/4/2024
——————————————-

——————————————-
Department/Faculty: Mathematics
Course Name: LAB: Intro to Statistics I
Course Code: MATH 208D DB
Academic Term: Summer Session I
Class Timetable: W 9:30PM – 10:45PM Synchronous Online

Course Unit Value: 0.125
—————————————————
Start Date: 5/6/2024
End Date: 6/21/2024
—————————————————
Qualifications:
Bachelor’s degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics.In addition, experience teaching similar introductory statistics labs to
non-science majors is required.Candidates must also have experience using the Blackboard/Collaborate
virtual classroom or other similar Learning Management System. Candidates
must be willing to participate in additional training in the optimum range
of teaching operations in the Moodle LMS and in the Collaborate virtual
classroom, if necessary, to reach the required level of competency before
the course begins. Candidates must also be sensitive to the needs of
distant, mature and part-time learners. Synchronous and asynchronous
discussions occur during the week online.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Statistics Laboratory Instructor. The
lab instructor is required to follow the course syllabus and guidelines
for lab assignments and grading.Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness.

Instructors are required to invigilate proctored tests and exams for
students writing on campus (mandatory for students within 100 kms of
campus).
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Danielle Cox, Dept. of Mathematics and Statistics
Email: msvumath@msvu.ca

Application deadline: 3/4/2024
——————————————-

——————————————-
Department/Faculty: Mathematics
Course Name: LAB: Intro to Statistics I
Course Code: MATH 208D DA
Academic Term: Summer Session I
Class Timetable: W 6:30PM – 7:45PM Synchronous Online
Course Unit Value: 0.125
—————————————————
Start Date: 5/6/2024
End Date: 6/21/2024
—————————————————
Qualifications:
Bachelor’s degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics.

In addition, experience teaching similar introductory statistics labs to
non-science majors is required.

Candidates must also have experience using the Blackboard/Collaborate
virtual classroom or other similar Learning Management System. Candidates
must be willing to participate in additional training in the optimum range
of teaching operations in the Moodle LMS and in the Collaborate virtual
classroom, if necessary, to reach the required level of competency before
the course begins. Candidates must also be sensitive to the needs of
distant, mature and part-time learners. Synchronous and asynchronous
discussions occur during the week online.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Statistics Laboratory Instructor. The
lab instructor is required to follow the course syllabus and guidelines
for lab assignments and grading.

Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness.

Instructors are required to invigilate proctored tests and exams for
students writing on campus (mandatory for students within 100 kms of
campus).

—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Danielle Cox, Dept. of Mathematics and Statistics
Email: msvumath@msvu.ca

Application deadline: 3/4/2024
—————————————————

————————————————-
Department/Faculty: Mathematics
Course Name: Precalculus II
Course Code: MATH 1103 18
Academic Term: Summer Session II
Class Timetable: TH 6:30PM – 7:45PM Multi-Mode Online
Course Unit Value: 0.5
—————————————————
Start Date: 7/2/2024
End Date: 8/16/2024

—————————————————
Qualifications:
PhD or Master’s degree in Mathematics. Prior experience teaching
Precalculus at the University level in courses which include students from
a variety of majors is preferred.Candidates must also have experience using the Blackboard/Collaborate
virtual classroom or other similar Learning Management System. Candidates
must be willing to participate in additional training in the optimum range
of teaching operations in the Moodle LMS and in the Collaborate virtual
classroom, if necessary, to reach the required level of competency before
the course begins. Candidates must also be sensitive to the needs of
distant, mature and part-time learners. Synchronous and asynchronous
discussions occur during the week online.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Instructors are required to invigilate proctored tests and exams for
students writing on campus (mandatory for students within 100 kms of
campus).  This course syllabus is required to have at least one proctored
midterm exam and one proctored final exam.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Danielle Cox, Dept. of Mathematics and Statistics
Email: msvumath@msvu.ca

Application deadline: 3/18/2024
——————————————–

————————————————
Department/Faculty: Mathematics
Course Name: Precalculus I
Course Code: MATH 1102 18
Academic Term: Summer Session I
Class Timetable: TH 6:30PM – 7:45PM Multi-Mode Online
Course Unit Value: 0.5
—————————————————
Start Date: 5/6/2024
End Date: 6/21/2024
—————————————————
Qualifications:
PhD or Master’s degree in Mathematics. Prior experience teaching
Precalculus at the University level in courses which include students from
a variety of majors is preferred.

Candidates must also have experience using the Blackboard/Collaborate
virtual classroom or other similar Learning Management System. Candidates
must be willing to participate in additional training in the optimum range
of teaching operations in the Moodle LMS and in the Collaborate virtual
classroom, if necessary, to reach the required level of competency before
the course begins. Candidates must also be sensitive to the needs of
distant, mature and part-time learners. Synchronous and asynchronous
discussions occur during the week online.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Instructors are required to invigilate proctored tests and exams for
students writing on campus (mandatory for students within 100 kms of
campus).  This course syllabus is required to have at least one proctored
midterm exam and one proctored final exam.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Danielle Cox, Dept. of Mathematics and Statistics
Email: msvumath@msvu.ca

Application deadline: 3/4/2024
————————————————

————————————
Department/Faculty: Mathematics
Course Name: Statistics and Mathematics Preparation
Course Code: MATH 0027 18
Academic Term: Summer Session II
Class Timetable: Asynchronous Online
Course Unit Value: 0.5
—————————————————
Start Date: 7/2/2024
End Date: 8/16/2024

—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Master’s degree in Statistics, or a
Masters degree in a field related to Mathematics or Statistics.In addition, experience teaching a similar course to prepare non-science
majors who will be taking further Mathematics and/or Statistics courses is
preferred.Candidates must also have experience using the Blackboard/Collaborate
virtual classroom or other similar Learning Management System. Candidates
must be willing to participate in additional training in the optimum range
of teaching operations in the Moodle LMS and in the Collaborate virtual
classroom, if necessary, to reach the required level of competency before
the course begins. Candidates must also be sensitive to the needs of
distant, mature and part-time learners. Synchronous and asynchronous
discussions occur during the week online.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Instructors are required to invigilate proctored tests and exams for
students writing on campus (mandatory for students within 100 kms of
campus).
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Danielle Cox, Dept. of Mathematics and Statistics
Email: msvumath@msvu.ca

Application deadline: 3/18/2024
——————————————-

——————————————-
Department/Faculty: Mathematics
Course Name: Statistics and Mathematics Preparation
Course Code: MATH 0027 18
Academic Term: Summer Session I
Class Timetable: Asynchronous Online
Course Unit Value: 0.5
—————————————————
Start Date: 5/6/2024
End Date: 6/21/2024
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Master’s degree in Statistics, or a
Masters degree in a field related to Mathematics or Statistics.

In addition, experience teaching a similar course to prepare non-science
majors who will be taking further Mathematics and/or Statistics courses is
preferred.

Candidates must also have experience using the Blackboard/Collaborate
virtual classroom or other similar Learning Management System. Candidates
must be willing to participate in additional training in the optimum range
of teaching operations in the Moodle LMS and in the Collaborate virtual
classroom, if necessary, to reach the required level of competency before
the course begins. Candidates must also be sensitive to the needs of
distant, mature and part-time learners. Synchronous and asynchronous
discussions occur during the week online.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Instructors are required to invigilate proctored tests and exams for
students writing on campus (mandatory for students within 100 kms of
campus).
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Danielle Cox, Dept. of Mathematics and Statistics
Email: msvumath@msvu.ca

Application deadline: 3/4/2024
——————————————
DAL

Position Title Part-Time Academic (MATH 1000.03 Section 1) Winter 2024
Posting Number PTAP2291P
Department/Unit Mathematics & Statistics
Location Halifax, Nova Scotia, Canada
Job Summary & Key Responsibilities

The Part-Time Academic will be responsible for teaching section 01 of Differential & Integral Calculus I (MATH 1000.03) in the upcoming winter term (contract dates January 1 to April 30).

The topics to be covered in the course are available from the Department Chair. Course descriptions are provided in the Undergraduate Calendar published online (https://academiccalendar.dal.ca) by the Registrar’s Office, Dalhousie University.

Please see the academic timetable (www.dal.ca/timetable) for the days, times & location(s) of this course. Please note this section of the course is expected to be delivered in-person.
Qualifications/Requirements of Position

A combination of M.Sc. degree in Mathematics or Statistics and previous teaching experience is required. Completion of a PhD or PhD in progress is considered an asset. The successful applicant must have demonstrated knowledge of the subject matter. Experience teaching large classes or direct experience of teaching this class is considered an asset.

Please provide teaching evaluations if available.
Salary Range/Pay Rate Per CUPE Collective Agreement – Local 3912
Additional Information
All offers of employment as a Part-Time Academic are conditional upon sufficient student enrolment in the course and approval by the University. Dalhousie University commits to achieving inclusive excellence through continually championing equity, diversity, inclusion, and accessibility. The university encourages applications from Indigenous persons (especially Mi’kmaq), persons of Black/African descent (especially African Nova Scotians), and members of other racialized groups, persons with disabilities, women, and persons identifying as members of 2SLGBTQ+ communities, and all candidates who would contribute to the diversity of our community. For more information, please visit www.dal.ca/hiringfordiversity.

Posting Detail Information

Term of appointment January 1, 2024 to April 30, 2024
Open Date
Close Date 12/15/2023
Open Until Filled
Quick Link for Direct Access to Posting https://dal.peopleadmin.ca/postings/15365

Documents Needed to Apply

Required Documents

  1. Cover Letter
  2. Résumé / Curriculum Vitae (CV)
  3. List of referees

Optional Documents

  1. Teaching Dossier
SMU

PART-TIME POSITION 

WINTER SEMESTER 2024 

MATH 1190.2RB 

(Fundamental Math) 

The Department of Mathematics & Computing Science is seeking to staff the following  recitation for the Winter Semester, 2024 (January 8 – April 22): 

MATH 1190.2RB F 11:30 AM – 12:45 PM – On Campus 

Please note the following: 

  • Successful applicants for recitations will be required to hold office hours and will  invigilate and mark midterm and final examinations.  
  • Stipends are set according to the current Collective Agreement between CUPE and  Saint Mary’s University. At present, the stipend* for recitations and labs is $3055.50 – $3406.25 (depending on experience at Saint Mary’s). 
  • Please note that course days/times and the final day of the term are subject to change.  

The Department requires the following qualification and experience: 

Minimum Master’s Degree in Mathematics or Mathematics Education 

Successful experience teaching similar course at the University level. 

Send your application to: ptpositionsmath@cs.smu.ca 

Please include the following documentation with your application:  

  • a current Curriculum Vitae 
  • university transcripts and proof of degrees (e.g., photocopies of certificates,  diplomas, etc.) 
  • two (2) letters of reference 

*The stipend is subject to the current collective agreement between CUPE and Saint Mary’s University Applications should be received no later than November 29, 2023
MSVU

———————————————-
Department/Faculty: Mathematics
Course Name: Introduction to Statistics II
Course Code: MATH 2209 04
Academic Term: Winter
Class Timetable: TTH 1:30PM – 2:45PM On-campus
Course Unit Value: 0.5
—————————————————
Start Date: 1/8/2024
End Date: 4/20/2024
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
advanced coursework in Statistics.

In addition, experience teaching similar introductory statistics to
non-science majors and experience with the use of MINITAB for data
analysis is required.

Please note that in the event that it is required that this on campus
course be moved online candidates must have experience and be prepared to
teach using the Blackboard/Collaborate virtual classroom. Candidates must
be willing to participate in additional training in the optimum range of
teaching operations in the Moodle LMS and in the Collaborate virtual
classroom, if necessary, to reach the required level of competency before
the course begins. Candidates must also be sensitive to the needs of
distant, mature and part-time learners. Synchronous and asynchronous
discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
This is a coordinated course with a laboratory component. The laboratory
components are taught by the laboratory instructor.  Instructors are
required to follow the common course syllabus and guidelines for
assignments, midterm and final exams, and grades.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Danielle Cox, Dept. of Mathematics and Statistics
Email: msvumath@msvu.ca

Application deadline: 11/20/2023
———————————————–
SMU

Department of Mathematics and Computing Science 

PART-TIME POSITIONS 

WINTER SEMESTER 2024 

CSCI 1227.2L LABS 

(Computer Programming & Problem Solving) 

The Department of Mathematics & Computing Science is seeking to staff the following labs for the Winter Semester, 2024 (January 8 – April 22): 

CSCI 1227.2LB F 8:30 AM – 11:30 AM – REMOTE 

CSCI 1227.2LC F 11:30 AM – 2:30 PM – On Campus 

CSCI 1227.2LD F 2:30 PM – 5:30 PM – On Campus 

The successful applicants will be required to maintain reasonable contact with students and  to grade all major assessments such as midterm and final examinations and will invigilate  midterm and final examinations when applicable. 

For courses that are scheduled to be delivered remotely, applicants are expected to have  access to sufficient technological resources – including internet connectivity and a webcam  or similar equipment – to make this feasible. 

Please note that course days/times and the final day of the term are subject to change. 

The stipend* for the CSCI 1227.2L lab is $3055.50 – $3406.25 (depending on experience at  Saint Mary’s). 

The Department requires the following qualification and experience: 

Minimum Master’s Degree in Computing Science. 

Successful experience teaching Introductory Computing Science at the University level in Python. 

Send your application to: ptpositionsCS@cs.smu.ca 

Please include the following documentation with your application:  

  • a current Curriculum Vitae 
  • university transcripts and proof of degrees (e.g., photocopies of certificates,  diplomas, etc.) 
  • two (2) letters of reference 

*The stipend is subject to the current collective agreement between CUPE and Saint Mary’s University.

Applications should be received no later than November 14, 2023

Department of Mathematics and Computing Science 

PART-TIME POSITIONS 

WINTER SEMESTER 2024 

MATH 1210.2 & MATH 1210.2RA 

(Introductory Calculus I) 

The Department of Mathematics & Computing Science is seeking to staff the following course  and recitation for the Winter Semester, 2024 (January 8 – April 22): 

MATH 1210.2 TR 8:30 AM – 9:45 AM – On Campus 

MATH 1210.2RA R 2:30 PM – 3:45 PM – On Campus 

Please note the following: 

  • The course and recitation are offered as a unit. Preference will be given to instructors  willing to teach both the course and the recitation. 
  • Successful applicants for courses and recitations/labs will be required to hold office  hours and will invigilate and mark midterm and final examinations.  
  • Stipends are set according to the current Collective Agreement between CUPE and  Saint Mary’s University. At present, the stipend* for courses is $6,111.00 – $6812.50 (depending on experience at Saint Mary’s), and the stipend* for recitations and labs is $3055.50 – $3406.25 (depending on experience at Saint Mary’s). 
  • Please note that course days/times and the final day of the term are subject to change.  

The Department requires the following qualification and experience: 

Minimum Master’s Degree in Mathematics or Mathematics Education 

Successful experience teaching similar course at the University level. 

Send your application to: ptpositionsmath@cs.smu.ca 

Please include the following documentation with your application:  

  • a current Curriculum Vitae 
  • university transcripts and proof of degrees (e.g., photocopies of certificates,  diplomas, etc.) 
  • two (2) letters of reference 

*The stipend is subject to the current collective agreement between CUPE and Saint Mary’s University.

Applications should be received no later than November 14, 2023
SMU

CUPE 3912 Job Posting for Part-Time Instructor

Course: MCDA 5580

Data and Text Mining

Department: M.Sc. in Computing and Data Analytics, Faculty of Science

Semester: Jan-Apr 2024

Schedule: Lectures: Thursday 5:30-6:45pm 

Academic Calendar Description:

With the availability of large databases to store, manage and assimilate data, the new thrust of data mining lies at the intersection of DB systems, artificial intelligence, and algorithms that efficiently analyze data. Highly complex big data techniques present many interesting computational challenges. Students use concepts from pattern recognition, statistics, data analysis, text mining, network analysis, and sentiment analysis, and machine learning for actionable analytics.

Qualifications:

  • Minimum Master’s Degree 
  • 5-10 years of experience in teaching, research and development in data and text mining. 
  • Comprehensive knowledge of and ability to teach mathematical foundations of various data and text mining techniques including clustering, classification, regression, time-series analysis, natural language processing.
  • Proficient in the use of Python, R, Alteryx platforms to implement solutions using the data and text mining techniques described above.
  • Experience working within an industry context.

Duties:

Duties include course/lecture preparation/delivery; in-class teaching; preparation and evaluation of all student assessments.  The successful candidate will be required to hold office hours and collaborate with M.Sc. CDA faculty and industry professors. 

Remuneration: 

Remuneration is in accordance with the Collective Agreement between Saint Mary’s University and CUPE 3912

How to Apply: 

Applications are invited in the first instance from part-time faculty colleagues on the Saint Mary’s precedence list. Applicants who currently hold a part-time teaching appointment at Saint Mary’s University should submit a cover letter and a C.V. Applicants who do not currently hold a part-time teaching appointment at Saint Mary’s University should submit a complete application (including a cover letter, CV, proof of academic credentials, name and contact information of three referees, and any evidence of teaching effectiveness).

Submissions are made as a single PDF file sent directly via email to: msc.cda@smu.ca 

Application deadline: November 01, 2023

Saint Mary’s University hires on the basis of merit and is committed to the principles of employment equity. Saint Mary’s University encourages applications from qualified women, visible minorities, Aboriginal people, and people with disabilities. Preference will be given to Canadian citizens and permanent residents of Canada.



CUPE 3912 Job Posting for Part-Time Instructor

Course: MCDA 5550

Web, Mobile, and Cloud Application Development

Department: M.Sc. in Computing and Data Analytics, Faculty of Science

Semester: Jan-Apr 2024

Schedule: Lectures Wednesday 5:30pm – 8:15pm 

Academic Calendar Description:

Students develop applications that are accessible through the internet on a variety of platforms including cloud environments and mobile devices. An emphasis is placed on designing and deploying mobile applications; push technology; data structures and memory management; interface design; Scalable Vector Graphics (SVG); cloud computing; and privacy/security.

Qualifications:

  • Minimum Master’s Degree 
  • 5-10 years of experience in managing software development across platforms including Web, Mobile, and Cloud Computing.
  • Experience working within an industry context. 

Duties:

Duties include course/lecture preparation/delivery; in-class teaching; preparation and evaluation of all student assessments.  The successful candidate will be required to hold office hours and collaborate with M.Sc. CDA faculty and industry professors. 

Remuneration: 

Remuneration is in accordance with the Collective Agreement between Saint Mary’s University and CUPE 3912
How to Apply: 

Applications are invited in the first instance from part-time faculty colleagues on the Saint Mary’s precedence list. Applicants who currently hold a part-time teaching appointment at Saint Mary’s University should submit a cover letter and a C.V. Applicants who do not currently hold a part-time teaching appointment at Saint Mary’s University should submit a complete application (including a cover letter, CV, proof of academic credentials, name and contact information of three referees, and any evidence of teaching effectiveness).

Submissions are made as a single PDF file sent directly via email to: msc.cda@smu.ca 

Application deadline: November 01, 2023

Saint Mary’s University hires on the basis of merit and is committed to the principles of employment equity. Saint Mary’s University encourages applications from qualified women, visible minorities, Aboriginal people, and people with disabilities. Preference will be given to Canadian citizens and permanent residents of Canada.



CUPE 3912 Job Posting for Part-Time Instructor

Course: MCDA 5512

Current Practices in Computing and Data Science II

Department: M.Sc. in Computing and Data Analytics, Faculty of Science

Semester: Jan-Apr 2024

Schedule: Lectures Friday 5:30-6:45pm 

Academic Calendar Description:

This course will allow students to acquire skillsets and build a portfolio in a designated computing and/or data science paradigm based on current trends in the industry. The students will learn theoretical and practical aspects of the paradigm by implementing real-world solutions for one or two projects.

This academic year the course will introduce three pivotal domains of the modern IT landscape: DevOps, Cloud Computing, and Quality Assurance (QA). The course is designed for individuals eager to explore the principles, practices, tools, and techniques used to enhance organizational agility, cloud infrastructure management, and software quality assurance.

Qualifications:

  • Minimum Master’s Degree 
  • 5-10 years of experience in managing computing hardware and software
  • Ability to form and manage a team of instructors and tutors with:
    • Proficiency in cloud platforms (e.g., AWS, Azure, Google Cloud).
    • Hands-on experience with DevOps tools (e.g., Jenkins, Docker, Kubernetes).
    • Expertise in Quality Assurance frameworks and methodologies.
  • Help students with relevant certifications in DevOps, Cloud Computing, and Quality Assurance.

Duties:

Duties include course/lecture preparation/delivery; in-class teaching; preparation and evaluation of all student assessments.  The successful candidate will be required to hold office hours and collaborate with M.Sc. CDA faculty and industry professors. 

Remuneration: 

Remuneration is in accordance with the Collective Agreement between Saint Mary’s University and CUPE 3912

How to Apply: 

Applications are invited in the first instance from part-time faculty colleagues on the Saint Mary’s precedence list. Applicants who currently hold a part-time teaching appointment at Saint Mary’s University should submit a cover letter and a C.V. Applicants who do not currently hold a part-time teaching appointment at Saint Mary’s University should submit a complete application (including a cover letter, CV, proof of academic credentials, name and contact information of three referees, and any evidence of teaching effectiveness).

Submissions are made as a single PDF file sent directly via email to: msc.cda@smu.ca 

Application deadline: November 01, 2023

Saint Mary’s University hires on the basis of merit and is committed to the principles of employment equity. Saint Mary’s University encourages applications from qualified women, visible minorities, Aboriginal people, and people with disabilities. Preference will be given to Canadian citizens and permanent residents of Canada.



CUPE 3912 Job Posting for Part-Time Instructor

Course: MCDA 5570

Big Data and Information Technology Management

Department: M.Sc. in Computing and Data Analytics, Faculty of Science

Semester: Jan-Apr 2024

Schedule: Lectures Tuesday 5:30-6:45pm 

Academic Calendar Description:

Students are provided with processes, models, and frameworks to develop organizational IT strategy in the context of big data. Students focus on leading software and hardware platforms, business software applications and their strategy maps (CRM, ERP, supply chain management, product lifecycle management. Technology adoption, emerging technologies, and diffusion of innovations are covered. 

Qualifications:

  • Minimum Master’s Degree 
  • 5-10 years of experience in managing computing hardware and software, including Hadoop, Spark, cloud Computing, general system administration, hardware and software acquisition, setting up servers, networks, web services, SQL server, NoSQL server such as Mongo DB, server-side web programming services including PHP and node.js, creating and managing desktop images in a lab environment.
  • Experience working within an industry context.

Duties:

Duties include course/lecture preparation/delivery; in-class teaching; preparation and evaluation of all student assessments.  The successful candidate will be required to hold office hours and collaborate with M.Sc. CDA faculty and industry professors. 

Remuneration: 

Remuneration is in accordance with the Collective Agreement between Saint Mary’s University and CUPE 3912

How to Apply: 

Applications are invited in the first instance from part-time faculty colleagues on the Saint Mary’s precedence list. Applicants who currently hold a part-time teaching appointment at Saint Mary’s University should submit a cover letter and a C.V. Applicants who do not currently hold a part-time teaching appointment at Saint Mary’s University should submit a complete application (including a cover letter, CV, proof of academic credentials, name and contact information of three referees, and any evidence of teaching effectiveness).

Submissions are made as a single PDF file sent directly via email to: msc.cda@smu.ca 

Application deadline: November 01, 2023

Saint Mary’s University hires on the basis of merit and is committed to the principles of employment equity. Saint Mary’s University encourages applications from qualified women, visible minorities, Aboriginal people, and people with disabilities. Preference will be given to Canadian citizens and permanent residents of Canada.
MSVU

————————————————
Department/Faculty: Mathematics
Course Name: Introduction to Computer Programming I
Course Code: CMPS 1155 01 (2nd posting)
Academic Term: Winter
Class Timetable: MW 10:30-11:45 AM On-campus
Course Unit Value: 0.5
—————————————————
Start Date: 1/8/2024
End Date: 4/20/2024
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Computer Science or Mathematics,
or in a related field. The candidate must have completed at least one full
unit of computer programming courses at the undergraduate level and one
unit of coursework in graduate Computer Science or Mathematics. In
addition, experience teaching a similar course to undergraduate non
computer science majors is required. Familiarity with either Python, C++
or a similar high-level language is also required.
Please note that in the event that it is required that this on campus
course be moved online candidates must have experience and be prepared to
teach using the Blackboard/Collaborate virtual classroom. Candidates must
be willing to participate in additional training in the optimum range of
teaching operations in the Moodle LMS and in the Collaborate virtual
classroom, if necessary, to reach the required level of competency before
the course begins. Candidates must also be sensitive to the needs of
distant, mature and part-time learners. Synchronous and asynchronous
discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:

—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Danielle Cox, Dept. of Mathematics and Statistics
Email: msvumath@msvu.ca

Application deadline: 10/12/2023
—————————————————
MSVU

————————————————
Department/Faculty: Mathematics
Course Name: Introduction to Statistics I
Course Code: MATH 2208 01
Academic Term: Fall
Class Timetable: MW 12:00PM – 1:15PM On-campus
Course Unit Value: 0.5
—————————————————
Start Date: 9/6/2023
End Date: 12/18/2023
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
advanced coursework in Statistics.

In addition, experience teaching similar introductory statistics to
non-science majors and with the use of MINITAB for data analysis is
required.

Please note that in the event that it is required that this on campus
course be moved online candidates must have experience and be prepared to
teach using the Blackboard/Collaborate virtual classroom. Candidates must
be willing to participate in additional training in the optimum range of
teaching operations in the Moodle LMS and in the Collaborate virtual
classroom, if necessary, to reach the required level of competency before
the course begins. Candidates must also be sensitive to the needs of
distant, mature and part-time learners. Synchronous and asynchronous
discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
This is a coordinated course with a laboratory component. The laboratory
components are taught by the laboratory instructor.  Instructors are
required to follow the common course syllabus and guidelines for
assignments, midterm and final exams, and grades.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Danielle Cox, Dept. of Mathematics and Statistics
Email: msvumath@msvu.ca

Application deadline: 8/11/2023
—————————————————

 

———————————————-
Department/Faculty: Mathematics
Course Name: LAB: Intro to Statistics I
Course Code: MATH 208L LI
Academic Term: Fall
Class Timetable: TH 10:30AM – 11:45AM On-campus
Course Unit Value: 0.125
—————————————————
Start Date: 9/6/2023
End Date: 12/18/2023
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics.

In addition, experience teaching similar introductory statistics labs to
non-science majors and experience with the use of MINITAB for data
analysis is required.

Please note that in the event that it is required that this on campus
course be moved online candidates must have experience and be prepared to
teach using the Blackboard/Collaborate virtual classroom. Candidates must
be willing to participate in additional training in the optimum range of
teaching operations in the Moodle LMS and in the Collaborate virtual
classroom, if necessary, to reach the required level of competency before
the course begins. Candidates must also be sensitive to the needs of
distant, mature and part-time learners. Synchronous and asynchronous
discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Statistics Laboratory Instructor. The
lab instructor is required to follow the course syllabus and guidelines
for lab assignments and grading.

Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Danielle Cox, Dept. of Mathematics and Statistics
Email: msvumath@msvu.ca

Application deadline: 8/10/2023
———————————————-
DAL

Position Title Part-Time Academic (MATH 1000.03 section 06) Fall 2023)
Posting Number PTAP2166P
Department/Unit Mathematics & Statistics
Location Halifax, Nova Scotia, Canada
Job Summary & Key Responsibilities

The Part-Time Academic will be responsible for teaching section 06 of Differential & Integral Calculus I (MATH 1000.03) in the upcoming fall term (contract dates September 1 to December 31).

The topics to be covered in the course are available from the Department Chair. Course descriptions are provided in the Undergraduate Calendar published online (https://academiccalendar.dal.ca) by the Registrar’s Office, Dalhousie University.

Please see the academic timetable (www.dal.ca/timetable) for the days, times & location(s) of this course. Please note this section of the course is expected to be delivered in-person.
Qualifications/Requirements of Position

A combination of M.Sc. degree in Mathematics or Statistics and previous teaching experience is required. Completion of a PhD or PhD in progress is considered an asset. The successful applicant must have demonstrated knowledge of the subject matter. Experience teaching large classes or direct experience of teaching this class is considered an asset.

Please provide teaching evaluations if available.
Salary Range/Pay Rate Per CUPE Collective Agreement – Local 3912
Additional Information
All offers of employment as a Part-Time Academic are conditional upon sufficient student enrolment in the course and approval by the University. Dalhousie University commits to achieving inclusive excellence through continually championing equity, diversity, inclusion, and accessibility. The university encourages applications from Indigenous persons (especially Mi’kmaq), persons of Black/African descent (especially African Nova Scotians), and members of other racialized groups, persons with disabilities, women, and persons identifying as members of 2SLGBTQ+ communities, and all candidates who would contribute to the diversity of our community. For more information, please visit www.dal.ca/hiringfordiversity.

Posting Detail Information

Term of appointment September 1, 2023 to December 31, 2023
Open Date
Close Date 08/11/2023
Open Until Filled
Quick Link for Direct Access to Posting https://dal.peopleadmin.ca/postings/14455

Documents Needed to Apply

Required Documents

  1. Cover Letter
  2. Résumé / Curriculum Vitae (CV)
  3. List of referees

Optional Documents

  1. Teaching Dossier
SMU

CUPE 3912 Job Posting for Part-Time Instructor

Course: MCDA 5510

Software Development in Business Environment

Department: M.Sc. in Computing and Data Analytics, Faculty of Science

Semester: September-December 2023

Schedule: Lectures Thursday 5:30pm – 8:45pm (tentative)

Academic Calendar Description:

Students study the complete software development process in a business environment, including the system analysis, design, implementation, and testing of software systems. Students will work in teams to develop software systems for business applications using real world methodologies. 

Qualifications:

  • Minimum Master’s Degree
  • Successful experience teaching Computing Science at the University level
  • At least 10 years of software development experience using Java/J2EE, C#/.Net and Web and Mobile based Software Development
  • Complete familiarity with the latest object-oriented software development methodology
  • Experience working within an Industry context 

Duties:

Duties include course/lecture preparation/delivery; in-class teaching; preparation and evaluation of all student assessments.  The successful candidate will be required to hold office hours and collaborate with M.Sc. CDA faculty and industry professors. 

Remuneration: 

Remuneration is in accordance with the Collective Agreement between Saint Mary’s University and CUPE 3912

How to Apply: 

Applications are invited in the first instance from part-time faculty colleagues on the Saint Mary’s precedence list. Applicants who currently hold a part-time teaching appointment at Saint Mary’s University should submit a cover letter and a C.V. Applicants who do not currently hold a part-time teaching appointment at Saint Mary’s University should submit a complete application (including a cover letter, CV, proof of academic credentials, name and contact information of three referees, and any evidence of teaching effectiveness).

Submissions are made as a single PDF file sent directly via email to: msc.cda@smu.ca 

Application deadline: July 28, 2023

Saint Mary’s University hires on the basis of merit and is committed to the principles of employment equity. Saint Mary’s University encourages applications from qualified women, visible minorities, Aboriginal people, and people with disabilities. Preference will be given to Canadian citizens and permanent residents of Canada.
MSVU

——————————————–
Department/Faculty: Mathematics
Course Name: Introduction to Statistics II
Course Code: MATH 2209 29
Academic Term: Winter
Class Timetable: T 8:00PM – 10:00PM Multi-Mode Online

Course Unit Value: 0.5
—————————————————
Start Date: 1/8/2024
End Date: 4/20/2024
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
advanced coursework in Statistics.In addition, experience teaching similar introductory statistics to
non-science majors and experience with the use of MINITAB for data
analysis is required.Candidates must also have experience using the Blackboard/Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
Synchronous and asynchronous discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
This is a coordinated course with a laboratory component. The laboratory
components are taught by the laboratory instructor.  Instructors are
required to follow the common course syllabus and guidelines for
assignments, midterm and final exams, and grades.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.caApplication deadline: 7/14/2023
————————————————

——————————————–
Department/Faculty: Mathematics
Course Name: Introduction to Statistics II
Course Code: MATH 2209 28
Academic Term: Winter
Class Timetable: M 8:00PM – 10:00PM Multi-Mode Online

Course Unit Value: 0.5
—————————————————
Start Date: 1/8/2024
End Date: 4/20/2024
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
advanced coursework in Statistics.In addition, experience teaching similar introductory statistics to
non-science majors and experience with the use of MINITAB for data
analysis is required.Candidates must also have experience using the Blackboard/Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
Synchronous and asynchronous discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
This is a coordinated course with a laboratory component. The laboratory
components are taught by the laboratory instructor.  Instructors are
required to follow the common course syllabus and guidelines for
assignments, midterm and final exams, and grades.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.caApplication deadline: 7/14/2023
——————————————

——————————————-
Department/Faculty: Mathematics
Course Name: Introduction to Statistics II
Course Code: MATH 2209 27
Academic Term: Winter
Class Timetable: M 7:00PM – 9:00PM Multi-Mode Online
Course Unit Value: 0.5
—————————————————
Start Date: 1/8/2024
End Date: 4/20/2024

—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
advanced coursework in Statistics.In addition, experience teaching similar introductory statistics to
non-science majors and experience with the use of MINITAB for data
analysis is required.Candidates must also have experience using the Blackboard/Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
Synchronous and asynchronous discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
This is a coordinated course with a laboratory component. The laboratory
components are taught by the laboratory instructor.  Instructors are
required to follow the common course syllabus and guidelines for
assignments, midterm and final exams, and grades.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.ca

Application deadline: 7/14/2023
——————————————–

—————————————–
Department/Faculty: Mathematics
Course Name: Introduction to Statistics II
Course Code: MATH 2209 19
Academic Term: Fall
Class Timetable: MW 9:00AM – 10:15AM Multi-Mode Online

Course Unit Value: 0.5
—————————————————
Start Date: 9/6/2023
End Date: 12/18/2023
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
advanced coursework in Statistics.In addition, experience teaching similar introductory statistics to
non-science majors and experience with the use of MINITAB for data
analysis is required.Candidates must also have experience using the Blackboard/Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
Synchronous and asynchronous discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
This is a coordinated course with a laboratory component. The laboratory
components are taught by the laboratory instructor.  Instructors are
required to follow the common course syllabus and guidelines for
assignments, midterm and final exams, and grades.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.caApplication deadline: 6/29/2023
—————————————–

———————————————
Department/Faculty: Mathematics
Course Name: Introduction to Statistics II
Course Code: MATH 2209 18
Academic Term: Fall
Class Timetable: T 8:00PM – 10:00PM Multi-Mode Online
Course Unit Value: 0.5
—————————————————
Start Date: 9/6/2023
End Date: 12/18/2023
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
advanced coursework in Statistics.

In addition, experience teaching similar introductory statistics to
non-science majors and experience with the use of MINITAB for data
analysis is required.

Candidates must also have experience using the Blackboard/Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
Synchronous and asynchronous discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
This is a coordinated course with a laboratory component. The laboratory
components are taught by the laboratory instructor.  Instructors are
required to follow the common course syllabus and guidelines for
assignments, midterm and final exams, and grades.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.ca

Application deadline: 6/29/2023
——————————————–

——————————————–
Department/Faculty: Mathematics
Course Name: Introduction to Statistics II
Course Code: MATH 2209 01
Academic Term: Winter
Class Timetable: MW 9:00PM – 10:15PM On-campus
Course Unit Value: 0.5
—————————————————
Start Date: 1/8/2024
End Date: 4/20/2024
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
advanced coursework in Statistics.

In addition, experience teaching similar introductory statistics to
non-science majors and experience with the use of MINITAB for data
analysis is required.

Please note that in the event that it is required that this on campus
course be moved online candidates must have experience and be prepared to
teach using the Blackboard/Collaborate virtual classroom. Candidates must

be willing to participate in additional training in the optimum range of
teaching operations in the Moodle LMS and in the Collaborate virtual
classroom, if necessary, to reach the required level of competency before
the course begins. Candidates must also be sensitive to the needs of
distant, mature and part-time learners. Synchronous and asynchronous
discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
This is a coordinated course with a laboratory component. The laboratory
components are taught by the laboratory instructor.  Instructors are
required to follow the common course syllabus and guidelines for
assignments, midterm and final exams, and grades.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.caApplication deadline: 7/14/2023
———————————————–

—————————————–
Department/Faculty: Mathematics
Course Name: Introduction to Statistics I
Course Code: MATH 2208 49
Academic Term: Winter
Class Timetable: MW 10:30AM – 11:45AM Multi-Mode Online

Course Unit Value: 0.5
—————————————————
Start Date: 1/8/2024
End Date: 4/20/2024
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
advanced coursework in Statistics.In addition, experience teaching similar introductory statistics to
non-science majors and experience with the use of MINITAB for data
analysis is required.Candidates must also have experience using the Blackboard/Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
Synchronous and asynchronous discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
This is a coordinated course with a laboratory component. The laboratory
components are taught by the laboratory instructor.  Instructors are
required to follow the common course syllabus and guidelines for
assignments, midterm and final exams, and grades.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.caApplication deadline: 7/14/2023
———————————————

———————————————-
Department/Faculty: Mathematics
Course Name: Introduction to Statistics I
Course Code: MATH 2208 48
Academic Term: Winter
Class Timetable: MW 9:00AM – 10:15AM Multi-Mode OnlineCourse

Unit Value: 0.5
—————————————————
Start Date: 1/8/2024
End Date: 4/20/2024
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
advanced coursework in Statistics.In addition, experience teaching similar introductory statistics to
non-science majors and experience with the use of MINITAB for data
analysis is required.Candidates must also have experience using the Blackboard/Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
Synchronous and asynchronous discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
This is a coordinated course with a laboratory component. The laboratory
components are taught by the laboratory instructor.  Instructors are
required to follow the common course syllabus and guidelines for
assignments, midterm and final exams, and grades.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.caApplication deadline: 7/14/2023
————————————————

—————————————-
Department/Faculty: Mathematics
Course Name: Introduction to Statistics I
Course Code: MATH 2208 39
Academic Term: Winter
Class Timetable: T 7:00PM – 9:00PM Multi-Mode Online

Course Unit Value: 0.5
—————————————————
Start Date: 1/8/2024
End Date: 4/20/2024
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
advanced coursework in Statistics.In addition, experience teaching similar introductory statistics to
non-science majors and experience with the use of MINITAB for data
analysis is required.Candidates must also have experience using the Blackboard/Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
Synchronous and asynchronous discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
This is a coordinated course with a laboratory component. The laboratory
components are taught by the laboratory instructor.  Instructors are
required to follow the common course syllabus and guidelines for
assignments, midterm and final exams, and grades.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.caApplication deadline: 7/14/2023
———————————————-

———————————————
Department/Faculty: Mathematics
Course Name: Introduction to Statistics I
Course Code: MATH 2208 38
Academic Term: Winter
Class Timetable: M 7:00PM – 9:00PM Multi-Mode OnlineCourse
Unit Value: 0.5
—————————————————
Start Date: 1/8/2024
End Date: 4/20/2024

—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
advanced coursework in Statistics.In addition, experience teaching similar introductory statistics to
non-science majors and experience with the use of MINITAB for data
analysis is required.Candidates must also have experience using the Blackboard/Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
Synchronous and asynchronous discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
This is a coordinated course with a laboratory component. The laboratory
components are taught by the laboratory instructor.  Instructors are
required to follow the common course syllabus and guidelines for
assignments, midterm and final exams, and grades.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.ca

Application deadline: 7/14/2023
———————————————-

———————————————
Department/Faculty: Mathematics
Course Name: Introduction to Statistics I
Course Code: MATH 2208 29
Academic Term: Fall
Class Timetable: T 8:00PM – 10:00PM Multi-Mode Online

Course Unit Value: 0.5
—————————————————
Start Date: 9/6/2023
End Date: 12/18/2023
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
advanced coursework in Statistics.In addition, experience teaching similar introductory statistics to
non-science majors and experience with the use of MINITAB for data
analysis is required.Candidates must also have experience using the Blackboard/Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
Synchronous and asynchronous discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
This is a coordinated course with a laboratory component. The laboratory
components are taught by the laboratory instructor.  Instructors are
required to follow the common course syllabus and guidelines for
assignments, midterm and final exams, and grades.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.caApplication deadline: 6/29/2023
———————————————–

———————————————-
Department/Faculty: Mathematics
Course Name: Introduction to Statistics I
Course Code: MATH 2208 28
Academic Term: Fall
Class Timetable: M 8:00PM – 10:00PM Multi-Mode OnlineCourse

Unit Value: 0.5
—————————————————
Start Date: 9/6/2023
End Date: 12/18/2023
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
advanced coursework in Statistics.In addition, experience teaching similar introductory statistics to
non-science majors and experience with the use of MINITAB for data
analysis is required.Candidates must also have experience using the Blackboard/Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
Synchronous and asynchronous discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
This is a coordinated course with a laboratory component. The laboratory
components are taught by the laboratory instructor.  Instructors are
required to follow the common course syllabus and guidelines for
assignments, midterm and final exams, and grades.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.caApplication deadline: 6/29/2023
——————————————–

———————————————
Department/Faculty: Mathematics
Course Name: Introduction to Statistics I
Course Code: MATH 2208 19
Academic Term: Fall
Class Timetable: TTH 10:30AM – 11:45AM Multi-Mode OnlineCourse
Unit Value: 0.5
—————————————————
Start Date: 9/6/2023
End Date: 12/18/2023
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
advanced coursework in Statistics.

In addition, experience teaching similar introductory statistics to
non-science majors and experience with the use of MINITAB for data
analysis is required.

Candidates must also have experience using the Blackboard/Collaborate

virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
Synchronous and asynchronous discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
This is a coordinated course with a laboratory component. The laboratory
components are taught by the laboratory instructor.  Instructors are
required to follow the common course syllabus and guidelines for
assignments, midterm and final exams, and grades.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.caApplication deadline: 6/29/2023
——————————————-

——————————————–
Department/Faculty: Mathematics
Course Name: Introduction to Statistics I
Course Code: MATH 2208 04
Academic Term: Fall
Class Timetable: TTH 10:30AM – 11:45AM On-campus

Course Unit Value: 0.5
—————————————————
Start Date: 9/6/2023
End Date: 12/18/2023
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
advanced coursework in Statistics.In addition, experience teaching similar introductory statistics to
non-science majors and with the use of MINITAB for data analysis is
required.Please note that in the event that it is required that this on campus
course be moved online candidates must have experience and be prepared to
teach using the Blackboard/Collaborate virtual classroom. Candidates must
be willing to participate in additional training in the optimum range of
teaching operations in the Moodle LMS and in the Collaborate virtual
classroom, if necessary, to reach the required level of competency before
the course begins. Candidates must also be sensitive to the needs of
distant, mature and part-time learners. Synchronous and asynchronous
discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
This is a coordinated course with a laboratory component. The laboratory
components are taught by the laboratory instructor.  Instructors are
required to follow the common course syllabus and guidelines for
assignments, midterm and final exams, and grades.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.caApplication deadline: 6/29/2023
——————————————–

——————————————–
Department/Faculty: Mathematics
Course Name: Introduction to Statistics I
Course Code: MATH 2208 03
Academic Term: Fall
Class Timetable: TTH 1:30PM – 2:45PM On-campus
Course Unit Value: 0.5
—————————————————
Start Date: 9/6/2023
End Date: 12/18/2023
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
advanced coursework in Statistics.

In addition, experience teaching similar introductory statistics to
non-science majors and with the use of MINITAB for data analysis is
required.

Please note that in the event that it is required that this on campus
course be moved online candidates must have experience and be prepared to
teach using the Blackboard/Collaborate virtual classroom. Candidates must
be willing to participate in additional training in the optimum range of
teaching operations in the Moodle LMS and in the Collaborate virtual
classroom, if necessary, to reach the required level of competency before
the course begins. Candidates must also be sensitive to the needs of
distant, mature and part-time learners. Synchronous and asynchronous
discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
This is a coordinated course with a laboratory component. The laboratory
components are taught by the laboratory instructor.  Instructors are
required to follow the common course syllabus and guidelines for
assignments, midterm and final exams, and grades.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.ca

Application deadline: 6/29/2023
———————————————–

———————————————
Department/Faculty: Mathematics
Course Name: LAB: Intro to Statistics II
Course Code: MATH 209L LI
Academic Term: Winter
Class Timetable: TH 3:00PM – 4:15PM On-campus

Course Unit Value: 0.125
—————————————————
Start Date: 1/8/2024
End Date: 4/20/2024
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics.In addition, experience teaching similar introductory statistics labs to
non-science majors and experience with the use of MINITAB for data
analysis is required.Please note that in the event that it is required that this on campus
course be moved online candidates must have experience and be prepared to
teach using the Blackboard/Collaborate virtual classroom. Candidates must
be willing to participate in additional training in the optimum range of
teaching operations in the Moodle LMS and in the Collaborate virtual
classroom, if necessary, to reach the required level of competency before
the course begins. Candidates must also be sensitive to the needs of
distant, mature and part-time learners. Synchronous and asynchronous
discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Statistics Laboratory Instructor. The
lab instructor is required to follow the course syllabus and guidelines
for lab assignments and grading.Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.caApplication deadline: 7/14/2023
———————————————

——————————————-
Department/Faculty: Mathematics
Course Name: LAB: Intro to Statistics II
Course Code: MATH 209L LH
Academic Term: Winter
Class Timetable: TH 1:30PM – 2:45PM On-campus

Course Unit Value: 0.125
—————————————————
Start Date: 1/8/2024
End Date: 4/20/2024
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics.In addition, experience teaching similar introductory statistics labs to
non-science majors and experience with the use of MINITAB for data
analysis is required.Please note that in the event that it is required that this on campus
course be moved online candidates must have experience and be prepared to
teach using the Blackboard/Collaborate virtual classroom. Candidates must
be willing to participate in additional training in the optimum range of
teaching operations in the Moodle LMS and in the Collaborate virtual
classroom, if necessary, to reach the required level of competency before
the course begins. Candidates must also be sensitive to the needs of
distant, mature and part-time learners. Synchronous and asynchronous
discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Statistics Laboratory Instructor. The
lab instructor is required to follow the course syllabus and guidelines
for lab assignments and grading.Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.caApplication deadline: 7/14/2023
—————————————–

———————————————
Department/Faculty: Mathematics
Course Name: LAB: Intro to Statistics II
Course Code: MATH 209L LG
Academic Term: Winter
Class Timetable: TH 12:00PM – 1:15PM On-campus
Course Unit Value: 0.125
—————————————————
Start Date: 1/8/2024
End Date: 4/20/2024
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics.

In addition, experience teaching similar introductory statistics labs to
non-science majors and experience with the use of MINITAB for data
analysis is required.

Please note that in the event that it is required that this on campus
course be moved online candidates must have experience and be prepared to
teach using the Blackboard/Collaborate virtual classroom. Candidates must

be willing to participate in additional training in the optimum range of
teaching operations in the Moodle LMS and in the Collaborate virtual
classroom, if necessary, to reach the required level of competency before
the course begins. Candidates must also be sensitive to the needs of
distant, mature and part-time learners. Synchronous and asynchronous
discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Statistics Laboratory Instructor. The
lab instructor is required to follow the course syllabus and guidelines
for lab assignments and grading.Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.caApplication deadline: 7/14/2023
—————————————————

———————————————–
Department/Faculty: Mathematics
Course Name: LAB: Intro to Statistics II
Course Code: MATH 209D DJ
Academic Term: Winter
Class Timetable: TH 9:30PM – 10:45PM Synchronous Online

Course Unit Value: 0.125
—————————————————
Start Date: 1/8/2024
End Date: 4/20/2024
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics.In addition, experience teaching similar introductory statistics labs to
non-science majors and experience with the use of MINITAB for data
analysis is required.Candidates must also have experience using the Blackboard/Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
Synchronous and asynchronous discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Statistics Laboratory Instructor. The
lab instructor is required to follow the course syllabus and guidelines
for lab assignments and grading.Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.caApplication deadline: 7/14/2023
——————————————–

——————————————–
Department/Faculty: Mathematics
Course Name: LAB: Intro to Statistics II
Course Code: MATH 209D DI
Academic Term: Winter
Class Timetable: TH 8:00PM – 9:15PM Synchronous Online

Course Unit Value: 0.125
—————————————————
Start Date: 1/8/2024
End Date: 4/20/2024
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics.In addition, experience teaching similar introductory statistics labs to
non-science majors and experience with the use of MINITAB for data
analysis is required.Candidates must also have experience using the Blackboard/Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
Synchronous and asynchronous discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Statistics Laboratory Instructor. The
lab instructor is required to follow the course syllabus and guidelines
for lab assignments and grading.Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.caApplication deadline: 7/14/2023
——————————————–

———————————————-
Department/Faculty: Mathematics
Course Name: LAB: Intro to Statistics II
Course Code: MATH 209D DH
Academic Term: Winter
Class Timetable: TH 6:30PM – 7:45PM Synchronous Online

Course Unit Value: 0.125
—————————————————
Start Date: 1/8/2024
End Date: 4/20/2024
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics.In addition, experience teaching similar introductory statistics labs to
non-science majors and experience with the use of MINITAB for data
analysis is required.Candidates must also have experience using the Blackboard/Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
Synchronous and asynchronous discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Statistics Laboratory Instructor. The
lab instructor is required to follow the course syllabus and guidelines
for lab assignments and grading.Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.caApplication deadline: 7/14/2023
————————————————

———————————————-
Department/Faculty: Mathematics
Course Name: LAB: Intro to Statistics II
Course Code: MATH 209D DG
Academic Term: Winter
Class Timetable: W 9:30PM – 10:45PM Synchronous Onlin

Course Unit Value: 0.125
—————————————————
Start Date: 1/8/2024
End Date: 4/20/2024
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics.In addition, experience teaching similar introductory statistics labs to
non-science majors and experience with the use of MINITAB for data
analysis is required.Candidates must also have experience using the Blackboard/Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
Synchronous and asynchronous discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Statistics Laboratory Instructor. The
lab instructor is required to follow the course syllabus and guidelines
for lab assignments and grading.Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.caApplication deadline: 7/14/2023
——————————————-

——————————————-
Department/Faculty: Mathematics
Course Name: LAB: Intro to Statistics II
Course Code: MATH 209D DF
Academic Term: Winter
Class Timetable: W 8:00PM – 9:15PM Synchronous Online

Course Unit Value: 0.125
—————————————————
Start Date: 1/8/2024
End Date: 4/20/2024
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics.In addition, experience teaching similar introductory statistics labs to
non-science majors and experience with the use of MINITAB for data
analysis is required.Candidates must also have experience using the Blackboard/Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
Synchronous and asynchronous discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Statistics Laboratory Instructor. The
lab instructor is required to follow the course syllabus and guidelines
for lab assignments and grading.Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.caApplication deadline: 7/14/2023
——————————————–

——————————————
Department/Faculty: Mathematics
Course Name: LAB: Intro to Statistics II
Course Code: MATH 209D DE
Academic Term: Winter
Class Timetable: W 6:30PM – 7:45PM Synchronous Online
Course Unit Value: 0.125
—————————————————
Start Date: 1/8/2024
End Date: 4/20/2024

—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics.In addition, experience teaching similar introductory statistics labs to
non-science majors and experience with the use of MINITAB for data
analysis is required.Candidates must also have experience using the Blackboard/Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
Synchronous and asynchronous discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Statistics Laboratory Instructor. The
lab instructor is required to follow the course syllabus and guidelines
for lab assignments and grading.Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.ca

Application deadline: 7/14/2023
——————————————-

———————————————–
Department/Faculty: Mathematics
Course Name: LAB: Intro to Statistics II
Course Code: MATH 209D DB
Academic Term: Fall
Class Timetable: TH 9:30PM – 10:45PM Synchronous Online

Course Unit Value: 0.125
—————————————————
Start Date: 9/6/2023
End Date: 12/18/2023
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics.In addition, experience teaching similar introductory statistics labs to
non-science majors and experience with the use of MINITAB for data
analysis is required.Candidates must also have experience using the Blackboard/Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
Synchronous and asynchronous discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Statistics Laboratory Instructor. The
lab instructor is required to follow the course syllabus and guidelines
for lab assignments and grading.Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.caApplication deadline: 6/29/2023
———————————————-

——————————————-
Department/Faculty: Mathematics
Course Name: LAB: Intro to Statistics II
Course Code: MATH 209D DA
Academic Term: Fall
Class Timetable: TH 8:00PM – 9:15PM Synchronous Online
Course Unit Value: 0.125
—————————————————
Start Date: 9/6/2023
End Date: 12/18/2023
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics.

In addition, experience teaching similar introductory statistics labs to
non-science majors and experience with the use of MINITAB for data
analysis is required.

Candidates must also have experience using the Blackboard/Collaborate

virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
Synchronous and asynchronous discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Statistics Laboratory Instructor. The
lab instructor is required to follow the course syllabus and guidelines
for lab assignments and grading.Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.caApplication deadline: 6/29/2023
———————————————-

———————————————-
Department/Faculty: Mathematics
Course Name: LAB: Intro to Statistics I
Course Code: MATH 208L LH
Academic Term: Fall
Class Timetable: TH 3:00PM – 4:15PM On-campus

Course Unit Value: 0.125
—————————————————
Start Date: 9/6/2023
End Date: 12/18/2023
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics.In addition, experience teaching similar introductory statistics labs to
non-science majors and experience with the use of MINITAB for data
analysis is required.Please note that in the event that it is required that this on campus
course be moved online candidates must have experience and be prepared to
teach using the Blackboard/Collaborate virtual classroom. Candidates must
be willing to participate in additional training in the optimum range of
teaching operations in the Moodle LMS and in the Collaborate virtual
classroom, if necessary, to reach the required level of competency before
the course begins. Candidates must also be sensitive to the needs of
distant, mature and part-time learners. Synchronous and asynchronous
discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Statistics Laboratory Instructor. The
lab instructor is required to follow the course syllabus and guidelines
for lab assignments and grading.Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.caApplication deadline: 6/29/2023
———————————————

———————————————
Department/Faculty: Mathematics
Course Name: LAB: Intro to Statistics I
Course Code: MATH 208L LG
Academic Term: Fall
Class Timetable: TH 1:30PM – 2:45PM On-campus
Course Unit Value: 0.125
—————————————————
Start Date: 9/6/2023
End Date: 12/18/2023
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics.

In addition, experience teaching similar introductory statistics labs to
non-science majors and experience with the use of MINITAB for data
analysis is required.

Please note that in the event that it is required that this on campus
course be moved online candidates must have experience and be prepared to
teach using the Blackboard/Collaborate virtual classroom. Candidates must

be willing to participate in additional training in the optimum range of
teaching operations in the Moodle LMS and in the Collaborate virtual
classroom, if necessary, to reach the required level of competency before
the course begins. Candidates must also be sensitive to the needs of
distant, mature and part-time learners. Synchronous and asynchronous
discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Statistics Laboratory Instructor. The
lab instructor is required to follow the course syllabus and guidelines
for lab assignments and grading.Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.ca

Application deadline: 6/29/2023
——————————————

———————————————-
Department/Faculty: Mathematics
Course Name: LAB: Intro to Statistics I
Course Code: MATH 208D DL
Academic Term: Winter
Class Timetable: TH 9:30PM – 10:45PM Synchronous OnlineCourse

Unit Value: 0.125
—————————————————
Start Date: 1/8/2024
End Date: 4/20/2024
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics.In addition, experience teaching similar introductory statistics labs to
non-science majors and experience with the use of MINITAB for data
analysis is required.Candidates must also have experience using the Blackboard/Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
Synchronous and asynchronous discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Statistics Laboratory Instructor. The
lab instructor is required to follow the course syllabus and guidelines
for lab assignments and grading.Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.caApplication deadline: 7/14/2023
—————————————————

——————————————–
Department/Faculty: Mathematics
Course Name: LAB: Intro to Statistics I
Course Code: MATH 208D DK
Academic Term: Winter
Class Timetable: TH 8:00PM – 9:15PM Synchronous OnlineCourse

Unit Value: 0.125
—————————————————
Start Date: 1/8/2024
End Date: 4/20/2024
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics.In addition, experience teaching similar introductory statistics labs to
non-science majors and experience with the use of MINITAB for data
analysis is required.Candidates must also have experience using the Blackboard/Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
Synchronous and asynchronous discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Statistics Laboratory Instructor. The
lab instructor is required to follow the course syllabus and guidelines
for lab assignments and grading.Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.caApplication deadline: 7/14/2023
———————————————–

———————————————
Department/Faculty: Mathematics
Course Name: LAB: Intro to Statistics I
Course Code: MATH 208D DJ
Academic Term: Winter
Class Timetable: W 8:00PM – 9:15PM Synchronous OnlineCourse

Unit Value: 0.125
—————————————————
Start Date: 1/8/2024
End Date: 4/20/2024
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics.In addition, experience teaching similar introductory statistics labs to
non-science majors and experience with the use of MINITAB for data
analysis is required.Candidates must also have experience using the Blackboard/Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
Synchronous and asynchronous discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Statistics Laboratory Instructor. The
lab instructor is required to follow the course syllabus and guidelines
for lab assignments and grading.Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.caApplication deadline: 7/14/2023
——————————————-

—————————————–
Department/Faculty: Mathematics
Course Name: LAB: Intro to Statistics I
Course Code: MATH 208D DI
Academic Term: Winter
Class Timetable: W 6:30PM – 7:45PM Synchronous Online
Course Unit Value: 0.125
—————————————————
Start Date: 1/8/2024
End Date: 4/20/2024

—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics.In addition, experience teaching similar introductory statistics labs to
non-science majors and experience with the use of MINITAB for data
analysis is required.Candidates must also have experience using the Blackboard/Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
Synchronous and asynchronous discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Statistics Laboratory Instructor. The
lab instructor is required to follow the course syllabus and guidelines
for lab assignments and grading.Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.ca

Application deadline: 7/14/2023
——————————————–

——————————————
Department/Faculty: Mathematics
Course Name: LAB: Intro to Statistics I
Course Code: MATH 208D DD
Academic Term: Fall
Class Timetable: TH 6:30PM – 7:45PM Synchronous Online

Course Unit Value: 0.125
—————————————————
Start Date: 9/6/2023
End Date: 12/18/2023
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics.In addition, experience teaching similar introductory statistics labs to
non-science majors and experience with the use of MINITAB for data
analysis is required.Candidates must also have experience using the Blackboard/Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
Synchronous and asynchronous discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Statistics Laboratory Instructor. The
lab instructor is required to follow the course syllabus and guidelines
for lab assignments and grading.Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.caApplication deadline: 6/29/2023
———————————————

———————————————–
Department/Faculty: Mathematics
Course Name: LAB: Intro to Statistics I
Course Code: MATH 208D DC
Academic Term: Fall
Class Timetable: W 9:30PM – 10:45PM Synchronous Online

Course Unit Value: 0.125
—————————————————
Start Date: 9/6/2023
End Date: 12/18/2023
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics.In addition, experience teaching similar introductory statistics labs to
non-science majors and experience with the use of MINITAB for data
analysis is required.Candidates must also have experience using the Blackboard/Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
Synchronous and asynchronous discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Statistics Laboratory Instructor. The
lab instructor is required to follow the course syllabus and guidelines
for lab assignments and grading.Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.caApplication deadline: 6/29/2023
———————————————

———————————————
Department/Faculty: Mathematics
Course Name: LAB: Intro to Statistics I
Course Code: MATH 208D DA
Academic Term: Fall
Class Timetable: W 6:30PM – 7:45PM Synchronous Online
Course Unit Value: 0.125
—————————————————
Start Date: 9/6/2023
End Date: 12/18/2023
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics.

In addition, experience teaching similar introductory statistics labs to
non-science majors and experience with the use of MINITAB for data
analysis is required.

Candidates must also have experience using the Blackboard/Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
Synchronous and asynchronous discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Statistics Laboratory Instructor. The
lab instructor is required to follow the course syllabus and guidelines
for lab assignments and grading.

Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.ca

Application deadline: 6/29/2023
——————————————–

————————————————
Department/Faculty: Mathematics
Course Name: LAB – Intro to Calculus II Lab
Course Code: MATH 114L LC
Academic Term: Winter
Class Timetable: F 10:30AM – 11:45AM On-campus
Course Unit Value: 0.125
—————————————————
Start Date: 1/8/2024
End Date: 4/20/2024
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Mathematics, or in a related
field. The candidate must have completed at least one unit of coursework
in graduate Mathematics. In addition, experience teaching a similar course
or introductory labs to first year undergraduate students is required.
Familiarity with mathematics software such as Sage or Maple is an asset.

Please note that in the event that it is required that this on campus
course be moved online candidates must have experience and be prepared to
teach using the Blackboard/Collaborate virtual classroom. Candidates must
be willing to participate in additional training in the optimum range of
teaching operations in the Moodle LMS and in the Collaborate virtual
classroom, if necessary, to reach the required level of competency before
the course begins. Candidates must also be sensitive to the needs of
distant, mature and part-time learners. Synchronous and asynchronous
discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Introductory Calculus instructors. The
lab instructor is required to follow the course syllabus and guidelines
for lab assignments and grading.

Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness.

—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.caApplication deadline: 7/14/2023
——————————————

———————————————-
Department/Faculty: Mathematics
Course Name: Precalculus II
Course Code: MATH 1103 18
Academic Term: Winter
Class Timetable: TH 9:00AM – 10:15AM Multi-Mode Online
Course Unit Value: 0.5
—————————————————
Start Date: 1/8/2024
End Date: 4/20/2024
—————————————————
Qualifications:
PhD or Master’s degree in Mathematics. In addition, the successful
candidate must have prior experience teaching Precalculus at the
University level in courses which include students from a variety of
majors.

Candidates must also have experience using the Blackboard/Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
Synchronous and asynchronous discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:

 

—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.caApplication deadline: 7/14/2023
——————————————

———————————————-
Department/Faculty: Mathematics
Course Name: LAB – Intro to Calculus II Lab
Course Code: MATH 114L LB
Academic Term: Winter
Class Timetable: TH 12:00PM – 1:15PM On-campus

Course Unit Value: 0.125
—————————————————
Start Date: 1/8/2024
End Date: 4/20/2024
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Mathematics, or in a related
field. The candidate must have completed at least one unit of coursework
in graduate Mathematics. In addition, experience teaching a similar course
or introductory labs to first year undergraduate students is required.
Familiarity with mathematics software such as Sage or Maple is an asset.Please note that in the event that it is required that this on campus
course be moved online candidates must have experience and be prepared to
teach using the Blackboard/Collaborate virtual classroom. Candidates must
be willing to participate in additional training in the optimum range of
teaching operations in the Moodle LMS and in the Collaborate virtual
classroom, if necessary, to reach the required level of competency before
the course begins. Candidates must also be sensitive to the needs of
distant, mature and part-time learners. Synchronous and asynchronous
discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Introductory Calculus instructors. The
lab instructor is required to follow the course syllabus and guidelines
for lab assignments and grading.Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.caApplication deadline: 7/14/2023
———————————————-

———————————————
Department/Faculty: Mathematics
Course Name: LAB – Intro to Calculus II Lab
Course Code: MATH 114L LA
Academic Term: Winter
Class Timetable: W 9:00AM – 10:15AM On-campus
Course Unit Value: 0.125
—————————————————
Start Date: 1/8/2024
End Date: 4/20/2024

—————————————————
Qualifications:
Bachelors degree with Major or Honours in Mathematics, or in a related
field. The candidate must have completed at least one unit of coursework
in graduate Mathematics. In addition, experience teaching a similar course
or introductory labs to first year undergraduate students is required.
Familiarity with mathematics software such as Sage or Maple is an asset.Please note that in the event that it is required that this on campus
course be moved online candidates must have experience and be prepared to
teach using the Blackboard/Collaborate virtual classroom. Candidates must
be willing to participate in additional training in the optimum range of
teaching operations in the Moodle LMS and in the Collaborate virtual
classroom, if necessary, to reach the required level of competency before
the course begins. Candidates must also be sensitive to the needs of
distant, mature and part-time learners. Synchronous and asynchronous
discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Introductory Calculus instructors. The
lab instructor is required to follow the course syllabus and guidelines
for lab assignments and grading.Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.ca

Application deadline: 7/14/2023
———————————————-

————————————————
Department/Faculty: Mathematics
Course Name: LAB – Intro to Calculus I Lab
Course Code: MATH 113L LC
Academic Term: Fall
Class Timetable: F 10:30AM – 11:45AM On-campus

Course Unit Value: 0.125
—————————————————
Start Date: 9/6/2023
End Date: 12/18/2023
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Mathematics, or in a related
field. The candidate must have completed at least one unit of coursework
in graduate Mathematics. In addition, experience teaching a similar course
or introductory labs to first year undergraduate students is required.
Familiarity with mathematics software such as Sage or Maple is an asset.Please note that in the event that it is required that this on campus
course be moved online candidates must have experience and be prepared to
teach using the Blackboard/Collaborate virtual classroom. Candidates must
be willing to participate in additional training in the optimum range of
teaching operations in the Moodle LMS and in the Collaborate virtual
classroom, if necessary, to reach the required level of competency before
the course begins. Candidates must also be sensitive to the needs of
distant, mature and part-time learners. Synchronous and asynchronous
discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Introductory Calculus instructors. The
lab instructor is required to follow the course syllabus and guidelines
for lab assignments and grading.Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.caApplication deadline: 6/29/2023
——————————————-

———————————————-
Department/Faculty: Mathematics
Course Name: LAB – Intro to Calculus I Lab
Course Code: MATH 113L LB
Academic Term: Fall
Class Timetable: TH 12:00PM – 1:15PM On-campus

Course Unit Value: 0.125
—————————————————
Start Date: 9/6/2023
End Date: 12/18/2023
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Mathematics, or in a related
field. The candidate must have completed at least one unit of coursework
in graduate Mathematics. In addition, experience teaching a similar course
or introductory labs to first year undergraduate students is required.
Familiarity with mathematics software such as Sage or Maple is an asset.Please note that in the event that it is required that this on campus
course be moved online candidates must have experience and be prepared to
teach using the Blackboard/Collaborate virtual classroom. Candidates must
be willing to participate in additional training in the optimum range of
teaching operations in the Moodle LMS and in the Collaborate virtual
classroom, if necessary, to reach the required level of competency before
the course begins. Candidates must also be sensitive to the needs of
distant, mature and part-time learners. Synchronous and asynchronous
discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Introductory Calculus instructors. The
lab instructor is required to follow the course syllabus and guidelines
for lab assignments and grading.Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.caApplication deadline: 6/29/2023
———————————————

——————————————–
Department/Faculty: Mathematics
Course Name: LAB – Intro to Calculus I Lab
Course Code: MATH 113L LA
Academic Term: Fall
Class Timetable: W 9:00AM – 10:15AM On-campus
Course Unit Value: 0.125
—————————————————
Start Date: 9/6/2023
End Date: 12/18/2023
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Mathematics, or in a related
field. The candidate must have completed at least one unit of coursework
in graduate Mathematics. In addition, experience teaching a similar course
or introductory labs to first year undergraduate students is required.
Familiarity with mathematics software such as Sage or Maple is an asset.

Please note that in the event that it is required that this on campus
course be moved online candidates must have experience and be prepared to
teach using the Blackboard/Collaborate virtual classroom. Candidates must
be willing to participate in additional training in the optimum range of
teaching operations in the Moodle LMS and in the Collaborate virtual
classroom, if necessary, to reach the required level of competency before
the course begins. Candidates must also be sensitive to the needs of
distant, mature and part-time learners. Synchronous and asynchronous
discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Introductory Calculus instructors. The
lab instructor is required to follow the course syllabus and guidelines
for lab assignments and grading.

Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness.

—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.caApplication deadline: 6/29/2023
——————————————–

———————————————-
Department/Faculty: Mathematics
Course Name: Precalculus I
Course Code: MATH 1102 18
Academic Term: Fall
Class Timetable: TH 9:00AM – 10:15AM Multi-Mode Online
Course Unit Value: 0.5
—————————————————
Start Date: 9/6/2023
End Date: 12/18/2023
—————————————————
Qualifications:
PhD or Master’s degree in Mathematics. In addition, the successful
candidate must have prior experience teaching Precalculus at the
University level in courses which include students from a variety of
majors.

Candidates must also have experience using the Blackboard/Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
Synchronous and asynchronous discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:

—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.ca

Application deadline: 6/29/2023
———————————————-

————————————————
Department/Faculty: Mathematics
Course Name: Statistics and Mathematics Preparation
Course Code: MATH 0027 19

Academic Term: Winter
Class Timetable: Asynchronous Online
Course Unit Value: 0.5
—————————————————
Start Date: 1/8/2024
End Date: 4/20/2024
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Mathematics or Statistics.In addition, experience teaching a similar course to prepare non-science
majors who will be taking further Mathematics and/or Statistics courses is
required.Candidates must also have experience using the Blackboard/Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
Synchronous and asynchronous discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.caApplication deadline: 7/14/2023
————————————————

———————————————–
Department/Faculty: Mathematics
Course Name: Statistics and Mathematics Preparation
Course Code: MATH 0027 18
Academic Term: Winter
Class Timetable: Asynchronous Online
Course Unit Value: 0.5
—————————————————
Start Date: 1/8/2024
End Date: 4/20/2024

—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Mathematics or Statistics.In addition, experience teaching a similar course to prepare non-science
majors who will be taking further Mathematics and/or Statistics courses is
required.Candidates must also have experience using the Blackboard/Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
Synchronous and asynchronous discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.ca

Application deadline: 7/14/2023
———————————————-

———————————————
Department/Faculty: Mathematics
Course Name: Statistics and Mathematics Preparation
Course Code: MATH 0027 19

Academic Term: Fall
Class Timetable: Asynchronous Online
Course Unit Value: 0.5
—————————————————
Start Date: 9/6/2023
End Date: 12/18/2023
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Mathematics or Statistics.In addition, experience teaching a similar course to prepare non-science
majors who will be taking further Mathematics and/or Statistics courses is
required.Candidates must also have experience using the Blackboard/Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
Synchronous and asynchronous discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.caApplication deadline: 6/29/2023
——————————————-

———————————————-
Department/Faculty: Mathematics
Course Name: Statistics and Mathematics Preparation
Course Code: MATH 0027 18
Academic Term: Fall
Class Timetable: Asynchronous Online
Course Unit Value: 0.5
—————————————————
Start Date: 9/6/2023
End Date: 12/18/2023
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Mathematics or Statistics.

In addition, experience teaching a similar course to prepare non-science
majors who will be taking further Mathematics and/or Statistics courses is
required.

Candidates must also have experience using the Blackboard/Collaborate

virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
Synchronous and asynchronous discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:

 

—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.caApplication deadline: 6/29/2023
——————————————-

———————————————-
Department/Faculty: Mathematics
Course Name: Statistics and Mathematics Preparation
Course Code: MATH 0027 MNFC
Academic Term: Fall
Class Timetable: MW 11:30AM – 12:45PM
Course Unit Value: 0.5
—————————————————
Start Date: 9/6/2023
End Date: 12/18/2023
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Mathematics or Statistics.

In addition, experience teaching a similar preparatory course to prepare
non-science majors who may be taking further Mathematics and/or Statistics
courses is required.

Candidates must also be sensitive to the needs of mature, indigenous and
part-time learners. Prior experience working with the indigenous community
is an asset.

Please note that in the event that it is required that this in-person
course be moved online candidates must have experience and be prepared to
teach using the Blackboard/Collaborate virtual classroom. Candidates must
be willing to participate in additional training in the optimum range of
teaching operations in the Moodle LMS and in the Collaborate virtual
classroom, if necessary, to reach the required level of competency before
the course begins.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
This course (MATH 0027) will be taught off campus at the Friendship Centre
in Halifax.  Applicants must be willing to travel to the Friendship Centre
for the course delivery and to provide additional help outside of lecture
hours at this same location in lieu of usual office hours on campus.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.ca

Application deadline: 6/29/2023
——————————————-

———————————————–
Department/Faculty: Mathematics
Course Name: Introduction to Computer Programming I
Course Code: CMPS 1155 01
Academic Term: Winter
Class Timetable: MW 10:30-11:45 AM On-campus
Course Unit Value: 0.5
—————————————————
Start Date: 1/8/2024
End Date: 4/20/2024
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Computer Science or Mathematics,
or in a related field. The candidate must have completed at least one full
unit of computer programming courses at the undergraduate level and one
unit of coursework in graduate Computer Science or Mathematics. In
addition, experience teaching a similar course to undergraduate non
computer science majors is required. Familiarity with either Python, C++
or a similar high-level language is also required.
Please note that in the event that it is required that this on campus
course be moved online candidates must have experience and be prepared to
teach using the Blackboard/Collaborate virtual classroom. Candidates must
be willing to participate in additional training in the optimum range of
teaching operations in the Moodle LMS and in the Collaborate virtual
classroom, if necessary, to reach the required level of competency before
the course begins. Candidates must also be sensitive to the needs of
distant, mature and part-time learners. Synchronous and asynchronous
discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:

—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.ca

Application deadline: 7/14/2023
——————————————–
SMU

PART-TIME POSITION 

SUMMER SEMESTER 2023 

MATH 2303.1 & RECITATION A 

(Differential Equations I) 

The Department of Mathematics & Computing Science is seeking to staff the following course and  recitation for the Summer Semester, 2023 (July 5 – August 22, 2023):  

MATH 2303.1 TR 5:30PM – 7:59PM ON CAMPUS 

MATH 2303.1RA TR 8:00PM – 9:15PM ON CAMPUS 

The Department requires the following qualification and experience: 

  • Minimum Master’s degree in Mathematics or related subject (PhD preferred) 
  • Successful experience teaching similar course at the University level. 

Applications are invited in the first instance from part-time faculty colleagues who are on the Precedence  List. 

Please note the following: 

  • The course and recitation are offered as a unit. 
  • The successful applicant will be required to hold office hours and will invigilate and mark midterm  and final examinations.
  • The stipend for courses is $5991.00 – $6679.00 (depending on experience at Saint Mary’s), and  the stipend for recitations is $2995.50 – $3339.50 (depending on experience at Saint Mary’s). 


If you have never taught at Saint Mary’s: 

  • SEND: an up-to-date CV with university transcripts and proof of degree(s)
  • HAVE SENT: Two letters of reference 

Send your application to: ptpositionsmath@cs.smu.ca 

Applications should be received no later than April 27, 2023
DAL

Position Title Part-Time Academic (MATH 1000.03 Differential & Integral Calculus I – Summer 2023)
Posting Number PTAP1854P
Department/Unit Mathematics & Statistics
Location Halifax, Nova Scotia, Canada
Job Summary & Key Responsibilities

The Part-Time Academic will be responsible for the delivery of Differential & Integral Calculus I (MATH 1000.03) in the summer term of 2023. The contract dates for teaching/delivery are from May 1 to August 31.

The topics to be covered in the course are available from the Department Chair. Course descriptions are provided in the Undergraduate Calendar published online ( https://academiccalendar.dal.ca ) by the Registrar’s Office, Dalhousie University.

Please see the academic timetable ( www.dal.ca/timetable ) for the days & times of this course. Please note this course is being delivered online.
Qualifications/Requirements of Position

A combination of M.Sc. degree in Mathematics or Statistics and previous teaching experience is required. Completion of a PhD or PhD in progress is considered an asset. Experience with course delivery in an online environment is also an asset. The successful applicant must have demonstrated knowledge of the subject matter.

Please provide teaching evaluations if available.
Salary Range/Pay Rate Per CUPE Collective Agreement – Local 3912
Additional Information
All offers of employment as a Part-Time Academic are conditional upon sufficient student enrolment in the course and approval by the University. All qualified candidates are encouraged to apply; however, Canadians and permanent residents will be given priority. Dalhousie University commits to achieving inclusive excellence through continually championing equity, diversity, inclusion, and accessibility. The university encourages applications from Indigenous persons (especially Mi’kmaq), persons of Black/African descent (especially African Nova Scotians), and members of other racialized groups, persons with disabilities, women, and persons identifying as members of 2SLGBTQ+ communities, and all candidates who would contribute to the diversity of our community. For more information, please visit www.dal.ca/hiringfordiversity.

Posting Detail Information

Term of appointment May 1, 2023 to August 31, 2023
Open Date 03/14/2022
Close Date 02/24/2023
Open Until Filled
Quick Link for Direct Access to Posting https://dal.peopleadmin.ca/postings/12748

Documents Needed to Apply

Required Documents

  1. Cover Letter
  2. Résumé / Curriculum Vitae (CV)
  3. List of referees

Optional Documents

  1. Teaching Dossier
MSVU

——————————————–
Department/Faculty: Mathematics
Course Name: Introduction to Statistics II
Course Code: MATH 2209 38
Academic Term: Summer Session II
Class Timetable: MW 6:30PM – 7:45PM Multi-Mode Online
Course Unit Value: 0.5

—————————————————
Start Date: 7/4/2023
End Date: 8/18/2023
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Master’s degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
advanced coursework in Statistics.In addition, experience teaching similar introductory statistics to
non-science majors is required.Candidates must also have experience using the Blackboard/Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. In addition, experience with
the use of MINITAB for data analysis is required. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
Synchronous and asynchronous discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
This is a coordinated course with a laboratory component. The laboratory
components are taught by the laboratory instructor.  Instructors are
required to follow the common course syllabus and guidelines for
assignments, midterm and final exams, and grades.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.caApplication deadline: 3/8/2023
—————————————————

——————————————-
Department/Faculty: Mathematics
Course Name: Introduction to Statistics II
Course Code: MATH 2209 19
Academic Term: Summer Session II
Class Timetable: T 7:30PM – 10:00PM Multi-Mode Online
Course Unit Value: 0.50

—————————————————
Start Date: 7/4/2023
End Date: 8/18/2023
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Master’s degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
advanced coursework in Statistics.In addition, experience teaching similar introductory statistics to
non-science majors is required.Candidates must also have experience using the Blackboard/Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. In addition, experience with
the use of MINITAB for data analysis is required. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
Synchronous and asynchronous discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
This is a coordinated course with a laboratory component. The laboratory
components are taught by the laboratory instructor.  Instructors are
required to follow the common course syllabus and guidelines for
assignments, midterm and final exams, and grades.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.caApplication deadline: 3/8/2023
—————————————————

——————————————-
Department/Faculty: Mathematics
Course Name: Introduction to Statistics II
Course Code: MATH 2209 28
Academic Term: Summer Session II
Class Timetable: W 6:30PM – 9:00PM Multi-Mode Online
Course Unit Value: 0.5
—————————————————
Start Date: 7/4/2023
End Date: 8/18/2023

—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Master’s degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
advanced coursework in Statistics.In addition, experience teaching similar introductory statistics to
non-science majors is required.Candidates must also have experience using the Blackboard/Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. In addition, experience with
the use of MINITAB for data analysis is required. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
Synchronous and asynchronous discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
This is a coordinated course with a laboratory component. The laboratory
components are taught by the laboratory instructor.  Instructors are
required to follow the common course syllabus and guidelines for
assignments, midterm and final exams, and grades.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.caApplication deadline: 3/8/2023
—————————————————

———————————————-
Department/Faculty: Mathematics
Course Name: Introduction to Statistics II
Course Code: MATH 2209 19
Academic Term: Summer Session I
Class Timetable: W 7:30PM – 10:00PM Multi-Mode Online

Course Unit Value: 0.5
—————————————————
Start Date: 5/8/2023
End Date: 6/23/2023
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Master’s degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
advanced coursework in Statistics.In addition, experience teaching similar introductory statistics to
non-science majors is required.Candidates must also have experience using the Blackboard/Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. In addition, experience with
the use of MINITAB for data analysis is required. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
Synchronous and asynchronous discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
This is a coordinated course with a laboratory component. The laboratory
components are taught by the laboratory instructor.  Instructors are
required to follow the common course syllabus and guidelines for
assignments, midterm and final exams, and grades.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.caApplication deadline: 3/8/2023
—————————————————

————————————————
Department/Faculty: Mathematics
Course Name: Introduction to Statistics I
Course Code: MATH 2208 39
Academic Term: Summer Session I
Class Timetable: MW 6:30PM – 7:45PM Multi-Mode Online

Course Unit Value: 0.5
—————————————————
Start Date: 5/8/2023
End Date: 6/23/2023
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Master’s degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
advanced coursework in Statistics.In addition, experience teaching similar introductory statistics to
non-science majors is required.Candidates must also have experience using the Blackboard/Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. In addition, experience with
the use of MINITAB for data analysis is required. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
Synchronous and asynchronous discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
This is a coordinated course with a laboratory component. The laboratory
components are taught by the laboratory instructor.  Instructors are
required to follow the common course syllabus and guidelines for
assignments, midterm and final exams, and grades.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.caApplication deadline: 3/8/2023
—————————————————

———————————————–
Department/Faculty: Mathematics
Course Name: Introduction to Statistics II
Course Code: MATH 2209 18
Academic Term: Summer Session I
Class Timetable: T 7:30PM – 10:00PM Multi-Mode Online

Course Unit Value: 0.5
—————————————————
Start Date: 5/8/2023
End Date: 6/23/2023
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Master’s degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
advanced coursework in Statistics.In addition, experience teaching similar introductory statistics to
non-science majors is required.Candidates must also have experience using the Blackboard/Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. In addition, experience with
the use of MINITAB for data analysis is required. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
Synchronous and asynchronous discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
This is a coordinated course with a laboratory component. The laboratory
components are taught by the laboratory instructor.  Instructors are
required to follow the common course syllabus and guidelines for
assignments, midterm and final exams, and grades.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.caApplication deadline: 3/8/2023
—————————————————

———————————————-
Department/Faculty: Mathematics
Course Name: Introduction to Statistics I
Course Code: MATH 2208 38
Academic Term: Summer Session I
Class Timetable: TTH 1:00PM – 2:15PM Multi-Mode Online

Course Unit Value: 0.5
—————————————————
Start Date: 5/8/2023
End Date: 6/23/2023
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Master’s degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
advanced coursework in Statistics.In addition, experience teaching similar introductory statistics to
non-science majors is required.Candidates must also have experience using the Blackboard/Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. In addition, experience with
the use of MINITAB for data analysis is required. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
Synchronous and asynchronous discussions occur during the week on-line.—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
This is a coordinated course with a laboratory component. The laboratory
components are taught by the laboratory instructor.  Instructors are
required to follow the common course syllabus and guidelines for
assignments, midterm and final exams, and grades.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.caApplication deadline: 3/8/2023
—————————————————

——————————————-
Department/Faculty: Mathematics
Course Name: Introduction to Statistics I
Course Code: MATH 2208 19
Academic Term: Summer Session I
Class Timetable: W 6:30PM – 9:00PM Multi-Mode Online

Course Unit Value: 0.5
—————————————————
Start Date: 5/8/2023
End Date: 6/23/2023
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Master’s degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
advanced coursework in Statistics.In addition, experience teaching similar introductory statistics to
non-science majors is required.Candidates must also have experience using the Blackboard/Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. In addition, experience with
the use of MINITAB for data analysis is required. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
Synchronous and asynchronous discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
This is a coordinated course with a laboratory component. The laboratory
components are taught by the laboratory instructor.  Instructors are
required to follow the common course syllabus and guidelines for
assignments, midterm and final exams, and grades.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.caApplication deadline: 3/8/2023
—————————————————

———————————————
Department/Faculty: Mathematics
Course Name: Introduction to Statistics I
Course Code: MATH 2208 28
Academic Term: Summer Session I
Class Timetable: T 6:30PM – 9:00PM Multi-Mode Online

Course Unit Value: 0.5
—————————————————
Start Date: 5/8/2023
End Date: 6/23/2023
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Master’s degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
advanced coursework in Statistics.In addition, experience teaching similar introductory statistics to
non-science majors is required.Candidates must also have experience using the Blackboard/Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. In addition, experience with
the use of MINITAB for data analysis is required. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
Synchronous and asynchronous discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
This is a coordinated course with a laboratory component. The laboratory
components are taught by the laboratory instructor.  Instructors are
required to follow the common course syllabus and guidelines for
assignments, midterm and final exams, and grades.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.caApplication deadline: 3/8/2023
—————————————————

———————————————-
Department/Faculty: Mathematics
Course Name: Introduction to Statistics I
Course Code: MATH 2208 18
Academic Term: Summer Session I
Class Timetable: T 7:30PM – 10:00PM Multi-Mode Online
Course Unit Value: 0.5
—————————————————
Start Date: 5/8/2023
End Date: 6/23/2023
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Master’s degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
advanced coursework in Statistics.

In addition, experience teaching similar introductory statistics to
non-science majors is required.

Candidates must also have experience using the Blackboard/Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. In addition, experience with
the use of MINITAB for data analysis is required. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
Synchronous and asynchronous discussions occur during the week on-line.

—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
This is a coordinated course with a laboratory component. The laboratory
components are taught by the laboratory instructor.  Instructors are
required to follow the common course syllabus and guidelines for
assignments, midterm and final exams, and grades.

 

—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.caApplication deadline: 3/8/2023
—————————————————

———————————————
Department/Faculty: Mathematics
Course Name: LAB: Intro to Statistics II
Course Code: MATH 209D DD
Academic Term: Summer Session II
Class Timetable: MW 8:00PM – 9:15PM Synchronous Online

Course Unit Value: 0.125
—————————————————
Start Date: 7/4/2023
End Date: 8/18/2023
—————————————————
Qualifications:
Bachelor’s degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics.In addition, experience teaching similar introductory statistics labs to
non-science majors is required.Candidates must also have experience using the Blackboard/Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. In addition, experience with
the use of MINITAB for data analysis is required. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
Synchronous and asynchronous discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Statistics Laboratory Instructor. The
lab instructor is required to follow the course syllabus and guidelines
for lab assignments and grading.
Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.caApplication deadline: 3/8/2023
—————————————————

——————————————–
Department/Faculty: Mathematics
Course Name: LAB: Intro to Statistics II
Course Code: MATH 209D DC
Academic Term: Summer Session II
Class Timetable: TH 9:30PM – 10:45PM Synchronous Online

Course Unit Value: 0.125
—————————————————
Start Date: 7/4/2023
End Date: 8/18/2023
—————————————————
Qualifications:
Bachelor’s degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics.In addition, experience teaching similar introductory statistics labs to
non-science majors is required.Candidates must also have experience using the Blackboard/Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. In addition, experience with
the use of MINITAB for data analysis is required. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
Synchronous and asynchronous discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Statistics Laboratory Instructor. The
lab instructor is required to follow the course syllabus and guidelines
for lab assignments and grading.Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.caApplication deadline: 3/8/2023
——————————————–

———————————————-
Department/Faculty: Mathematics
Course Name: LAB: Intro to Statistics II
Course Code: MATH 209D DB
Academic Term: Summer Session II
Class Timetable: TH 8:00PM – 9:15PM Synchronous Online
Course Unit Value: 0.125
—————————————————
Start Date: 7/4/2023
End Date: 8/18/2023

—————————————————
Qualifications:
Bachelor’s degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics.In addition, experience teaching similar introductory statistics labs to
non-science majors is required.Candidates must also have experience using the Blackboard/Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. In addition, experience with
the use of MINITAB for data analysis is required. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
Synchronous and asynchronous discussions occur during the week on-line.—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Statistics Laboratory Instructor. The
lab instructor is required to follow the course syllabus and guidelines
for lab assignments and grading.Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness.—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.caApplication deadline: 3/8/2023
—————————————————

—————————————-
Department/Faculty: Mathematics
Course Name: LAB: Intro to Statistics II
Course Code: MATH 209D DC
Academic Term: Summer Session I
Class Timetable: TH 9:30PM – 10:45PM Synchronous Online
Course Unit Value: 0.125
—————————————————
Start Date: 5/8/2023
End Date: 6/23/2023

—————————————————
Qualifications:
Bachelor’s degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics.In addition, experience teaching similar introductory statistics labs to
non-science majors is required.Candidates must also have experience using the Blackboard/Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. In addition, experience with
the use of MINITAB for data analysis is required. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
Synchronous and asynchronous discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Statistics Laboratory Instructor. The
lab instructor is required to follow the course syllabus and guidelines
for lab assignments and grading.Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.caApplication deadline: 3/8/2023
—————————————————

——————————————–
Department/Faculty: Mathematics
Course Name: LAB: Intro to Statistics II
Course Code: MATH 209D DA
Academic Term: Summer Session II
Class Timetable: TH 6:30PM – 7:45PM Synchronous Online
Course Unit Value: 0.125
—————————————————
Start Date: 7/4/2023
End Date: 8/18/2023

—————————————————
Qualifications:
Bachelor’s degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics.In addition, experience teaching similar introductory statistics labs to
non-science majors is required.Candidates must also have experience using the Blackboard/Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. In addition, experience with
the use of MINITAB for data analysis is required. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
Synchronous and asynchronous discussions occur during the week on-line.—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Statistics Laboratory Instructor. The
lab instructor is required to follow the course syllabus and guidelines
for lab assignments and grading.Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness.—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.caApplication deadline: 3/8/2023
—————————————————

—————————————–
Department/Faculty: Mathematics
Course Name: LAB: Intro to Statistics II
Course Code: MATH 209D DB
Academic Term: Summer Session I
Class Timetable: TH 8:00PM – 9:15PM Synchronous Online

Course Unit Value: 0.125
—————————————————
Start Date: 5/8/2023
End Date: 6/23/2023
—————————————————
Qualifications:
Bachelor’s degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics.In addition, experience teaching similar introductory statistics labs to
non-science majors is required.Candidates must also have experience using the Blackboard/Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. In addition, experience with
the use of MINITAB for data analysis is required. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
Synchronous and asynchronous discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Statistics Laboratory Instructor. The
lab instructor is required to follow the course syllabus and guidelines
for lab assignments and grading.Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.caApplication deadline: 3/8/2023
—————————————————

—————————————–
Department/Faculty: Mathematics
Course Name: LAB: Intro to Statistics I
Course Code: MATH 208D DG
Academic Term: Summer Session I
Class Timetable: MW 8:00PM – 9:15PM Synchronous Online

Course Unit Value: 0.125
—————————————————
Start Date: 5/8/2023
End Date: 6/23/2023
—————————————————
Qualifications:
Bachelor’s degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics.In addition, experience teaching similar introductory statistics labs to
non-science majors is required.Candidates must also have experience using the Blackboard/Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. In addition, experience with
the use of MINITAB for data analysis is required. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
Synchronous and asynchronous discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Statistics Laboratory Instructor. The
lab instructor is required to follow the course syllabus and guidelines
for lab assignments and grading.Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.caApplication deadline: 3/8/2023
—————————————————

——————————————
Department/Faculty: Mathematics
Course Name: LAB: Intro to Statistics II
Course Code: MATH 209D DA
Academic Term: Summer Session I
Class Timetable: TH 6:30PM – 7:45PM Synchronous Online

Course Unit Value: 0.125
—————————————————
Start Date: 5/8/2023
End Date: 6/23/2023
—————————————————
Qualifications:
Bachelor’s degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics.In addition, experience teaching similar introductory statistics labs to
non-science majors is required.Candidates must also have experience using the Blackboard/Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. In addition, experience with
the use of MINITAB for data analysis is required. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
Synchronous and asynchronous discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Statistics Laboratory Instructor. The
lab instructor is required to follow the course syllabus and guidelines
for lab assignments and grading.Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.caApplication deadline: 3/8/2023
—————————————————

———————————————–
Department/Faculty: Mathematics
Course Name: LAB: Intro to Statistics I
Course Code: MATH 208D DD
Academic Term: Summer Session I
Class Timetable: TH 8:00PM – 9:15PM Synchronous Online

Course Unit Value: 0.125
—————————————————
Start Date: 5/8/2023
End Date: 6/23/2023
—————————————————
Qualifications:
Bachelor’s degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics.In addition, experience teaching similar introductory statistics labs to
non-science majors is required.Candidates must also have experience using the Blackboard/Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. In addition, experience with
the use of MINITAB for data analysis is required. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
Synchronous and asynchronous discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Statistics Laboratory Instructor. The
lab instructor is required to follow the course syllabus and guidelines
for lab assignments and grading.Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.caApplication deadline: 3/8/2023
—————————————————

——————————————
Department/Faculty: Mathematics
Course Name: LAB: Intro to Statistics I
Course Code: MATH 208D DE
Academic Term: Summer Session I
Class Timetable: TH 9:30PM – 10:45PM Synchronous Online

Course Unit Value: 0.125
—————————————————
Start Date: 5/8/2023
End Date: 6/23/2023
—————————————————
Qualifications:
Bachelor’s degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics.In addition, experience teaching similar introductory statistics labs to
non-science majors is required.Candidates must also have experience using the Blackboard/Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. In addition, experience with
the use of MINITAB for data analysis is required. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
Synchronous and asynchronous discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Statistics Laboratory Instructor. The
lab instructor is required to follow the course syllabus and guidelines
for lab assignments and grading.Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.caApplication deadline: 3/8/2023
—————————————————

——————————————–
Department/Faculty: Mathematics
Course Name: LAB: Intro to Statistics I
Course Code: MATH 208D DB
Academic Term: Summer Session I
Class Timetable: W 9:30PM – 10:45PM Synchronous Online

Course Unit Value: 0.125
—————————————————
Start Date: 5/8/2023
End Date: 6/23/2023
—————————————————
Qualifications:
Bachelor’s degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics.In addition, experience teaching similar introductory statistics labs to
non-science majors is required.Candidates must also have experience using the Blackboard/Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. In addition, experience with
the use of MINITAB for data analysis is required. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
Synchronous and asynchronous discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Statistics Laboratory Instructor. The
lab instructor is required to follow the course syllabus and guidelines
for lab assignments and grading.Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.caApplication deadline: 3/8/2023
—————————————————

—————————————-
Department/Faculty: Mathematics
Course Name: LAB: Intro to Statistics I
Course Code: MATH 208D DC
Academic Term: Summer Session I
Class Timetable: TH 6:30PM – 7:45PM Synchronous Online
Course Unit Value: 0.125
—————————————————
Start Date: 5/8/2023
End Date: 6/23/2023
—————————————————
Qualifications:
Bachelor’s degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics.

In addition, experience teaching similar introductory statistics labs to
non-science majors is required.

Candidates must also have experience using the Blackboard/Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. In addition, experience with
the use of MINITAB for data analysis is required. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
Synchronous and asynchronous discussions occur during the week on-line.

—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Statistics Laboratory Instructor. The
lab instructor is required to follow the course syllabus and guidelines
for lab assignments and grading.

Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness.

 

—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.caApplication deadline: 3/8/2023
—————————————————

——————————————-
Department/Faculty: Mathematics
Course Name: Statistics and Mathematics Preparation
Course Code: MATH 0027 18
Academic Term: Summer Session II
Class Timetable: Asynchronous Online
Course Unit Value: 0.5
—————————————————
Start Date: 7/4/2023
End Date: 8/18/2023
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Master’s degree in Statistics, or a
Masters degree in a field related to Mathematics or Statistics.

In addition, experience teaching a similar course to prepare non-science
majors who will be taking further Mathematics and/or Statistics courses is
required.

Candidates must also have experience using the Blackboard/Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. Candidates must also be
sensitive to the needs of distant, mature, and part-time learners.
Synchronous and asynchronous discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:

 

—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.caApplication deadline: 3/8/2023
—————————————————

———————————————-
Department/Faculty: Mathematics
Course Name: LAB: Intro to Statistics I
Course Code: MATH 208D DA
Academic Term: Summer Session I
Class Timetable: W 6:30PM – 7:45PM      Synchronous Online
Course Unit Value: 0.125
—————————————————
Start Date: 5/8/2023
End Date: 6/23/2023
—————————————————
Qualifications:
Bachelor’s degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics.

In addition, experience teaching similar introductory statistics labs to
non-science majors is required.

Candidates must also have experience using the Blackboard/Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. In addition, experience with
the use of MINITAB for data analysis is required. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
Synchronous and asynchronous discussions occur during the week on-line.

—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Statistics Laboratory Instructor. The
lab instructor is required to follow the course syllabus and guidelines
for lab assignments and grading.

Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness.

—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.ca

Application deadline: 3/8/2023
—————————————————

———————————————–
Department/Faculty: Mathematics
Course Name: Statistics and Mathematics Preparation
Course Code: MATH 0027 18
Academic Term: Summer Session I
Class Timetable: Asynchronous Online
Course Unit Value: 0.5
—————————————————
Start Date: 5/8/2023
End Date: 6/23/2023
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Master’s degree in Statistics, or a
Masters degree in a field related to Mathematics or Statistics.

In addition, experience teaching a similar course to prepare non-science
majors who will be taking further Mathematics and/or Statistics courses is
required.

Candidates must also have experience using the Blackboard/Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
Synchronous and asynchronous discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:

—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.ca

Application deadline: 3/8/2023
—————————————————
DAL

Position Title Part-Time Academic (MATH 1280.03 Engineering Mathematics I – Winter Term 2023)
Posting Number PTAP1766P
Department/Unit Mathematics & Statistics
Location Halifax
Job Summary & Key Responsibilities

The Part-Time Academic will be responsible for the delivery of Engineering Mathematics I (MATH1280.03) in the upcoming winter term. The contract dates for teaching/delivery are from January 1 to April 30.

The topics to be covered in the course are available from the Department Chair. Course descriptions are provided in the Undergraduate Calendar published online ( https://academiccalendar.dal.ca ) by the Registrar’s Office, Dalhousie University.

Please see the academic timetable ( www.dal.ca/timetable ) for the days & times of this course.
Qualifications/Requirements of Position

A combination of M.Sc. degree in Mathematics or Statistics and previous teaching experience is required. Completion of a PhD or PhD in progress is considered an asset. Experience with course delivery in an online environment is also an asset. The successful applicant must have demonstrated knowledge of the subject matter.

Please provide teaching evaluations if available.
Salary Range/Pay Rate Per CUPE Collective Agreement – Local 3912
Additional Information
All offers of employment as a Part-Time Academic are conditional upon sufficient student enrolment in the course and approval by the University. All qualified candidates are encouraged to apply; however, Canadians and permanent residents will be given priority. Dalhousie University commits to achieving inclusive excellence through continually championing equity, diversity, inclusion, and accessibility. The university encourages applications from Indigenous persons (especially Mi’kmaq), persons of Black/African descent (especially African Nova Scotians), and members of other racialized groups, persons with disabilities, women, and persons identifying as members of 2SLGBTQ+ communities, and all candidates who would contribute to the diversity of our community. For more information, please visit www.dal.ca/hiringfordiversity.

Posting Detail Information

Term of appointment January 1, 2023 to April 30, 2023
Open Date 11/28/2022
Close Date 12/08/2022
Open Until Filled
Quick Link for Direct Access to Posting https://dal.peopleadmin.ca/postings/12053

Documents Needed to Apply

Required Documents

  1. Cover Letter
  2. Résumé / Curriculum Vitae (CV)
  3. List of referees

Optional Documents

  1. Teaching Dossier
SMU

PART-TIME POSITION

WINTER SEMESTER 2023

MATH 2305.2 RECITATION B

(Survey of Discrete Mathematics)

 

The Department of Mathematics & Computing Science is seeking to staff the following recitation for the Winter Semester, 2023:

MATH 2305.2RB R 1:00pm – 2:15pm ON CAMPUS

The successful applicant will be required to maintain reasonable contact with students and to grade all major assessments such as midterm and final examinations and will invigilate midterm and final examinations when applicable.

The stipend* for MATH 2305.2RB is $2426.00 – $3068.75 (depending on experience at Saint Mary’s).

The Department requires the following qualification and experience:

PhD in Mathematics required. 

Successful experience teaching similar course at the University level.

Applications are invited in the first instance from part-time faculty colleagues who are on the Precedence List.

Send your application to:  ptpositionsmath@cs.smu.ca 

 

  • If you have never taught at Saint Mary’s:
    • SEND: an up-to-date CV with university transcripts and proof of degree(s)
    • HAVE SENT: Two letters of reference

*The stipend is subject to the current negotiations between CUPE and Saint Mary’s University

Applications should be received no later than November 26, 2022
MSVU

—————————————————
Department/Faculty: Mathematics
Course Name: Introduction to Statistics II
Course Code: MATH 2209 03
Academic Term: Winter
Class Timetable: TTH 10:30AM -11:45AM On-campus
Course Unit Value: 0.5
—————————————————
Start Date: 1/9/2023
End Date: 4/22/2023
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
advanced coursework in Statistics.

In addition, experience teaching similar introductory statistics to
non-science majors and experience with the use of MINITAB for data
analysis is required.

Please note that in the event that it is required that this on campus
course be moved online candidates must have experience and be prepared to
teach using the Blackboard/Collaborate virtual classroom. Candidates must
be willing to participate in additional training in the optimum range of
teaching operations in the Moodle LMS and in the Collaborate virtual
classroom, if necessary, to reach the required level of competency before
the course begins. Candidates must also be sensitive to the needs of
distant, mature and part-time learners. Synchronous and asynchronous
discussions occur during the week on-line.

—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
This is a coordinated course with a laboratory component. The laboratory
components are taught by the laboratory instructor.  Instructors are
required to follow the common course syllabus and guidelines for
assignments, midterm and final exams, and grades.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.ca

Application deadline: 11/22/2022
—————————————————
SMU

PART-TIME POSITIONS

WINTER SEMESTER 2023

MATH COURSES & RECITATIONS

The Department of Mathematics & Computing Science is seeking to staff the following courses and recitations for the Winter Semester, 2023. 

Applications are invited in the first instance from part-time faculty colleagues who are on the Precedence List.

 

Please note the following:

  • Preference will be given to instructors willing to teach a course and one or more of its associated recitations
  • Successful applicants for courses will be required to hold office hours and will invigilate and mark midterm and final examinations.
  • Stipends are subject to the current negotiations between CUPE and Saint Mary’s University. At present, the stipend* for courses is $4852.00 – $6137.50 (depending on experience at Saint Mary’s), and the stipend* for recitations is $2426.00 – $3068.75 (depending on experience at Saint Mary’s).

 

  • If you have never taught at Saint Mary’s:
    • SEND: an up-to-date CV with university transcripts and proof of degree(s)
    • HAVE SENT: Two letters of reference

 

Send your application to:  ptpositionsmath@cs.smu.ca

 

Applications should be received no later than November 4, 2022

 

The Department requires the following qualification and experience for the following course and/or recitations:

  • Minimum Master’s Degree in Mathematics or Mathematics Education
  • Successful experience teaching similar course at the University level.

 

Fundamental Mathematics

 

MATH 1190.2 MW 10:00AM – 11:15AM ON CAMPUS

MATH 1190.2RA R 4:00PM – 5:15PM ON CAMPUS

MATH 1190.2RB F 10:00AM – 11:15AM ON CAMPUS

MATH 1190.2RC F 11:30AM – 12:45PM ON CAMPUS

 

***

The Department requires the following qualification and experience for the following course and/or recitation:

 

  • Minimum Master’s Degree in Mathematics or Mathematics Education
  • Successful experience teaching Mathematics at the University Level. 
  • Preference will be given to instructors with teaching experience in the secondary school system.

 

Concepts in High School Math

 

MATH 1203.2 TR 5:30pm – 6:45pm ON CAMPUS

MATH 1203.2R T 7:00pm – 8:15pm ON CAMPUS

 

***

The Department requires the following qualification and experience for the following recitation:

 

  • PhD in Mathematics required. 
  • Successful experience teaching similar course at the University level.

 

Differential Equations I

 

MATH 2303.2RC F 11:30am – 12:45pm ON CAMPUS

***

The Department requires the following qualification and experience for the following recitations:

 

  • Minimum Master’s Degree in Mathematics or Mathematics Education
  • Successful experience teaching a similar course at the University Level

 

Introductory Calculus I

 

MATH 1210.2RD F 1:00pm – 2:15pm ON CAMPUS

MATH 1210.2RE R 4:00pm – 5:15pm ON CAMPUS

 

Introductory Calculus II

 

MATH 1211.2RA R 2:30pm – 3:45pm ON CAMPUS

MATH 1211.2RC F 10:00am – 11:15am ON CAMPUS

MATH 1211.2RE R 1:00pm – 2:15pm ON CAMPUS

MATH 1211.2RF F 1:00pm – 2:15pm ON CAMPUS

MATH 1211.2RG F 11:30am – 12:45pm ON CAMPUS

 

Calculus for Life Sciences I

 

MATH 1250.2RB R 4:00pm – 5:15pm ON CAMPUS

 

Calculus for Life Sciences II

 

MATH 1251.2RD F 2:30pm – 3:45pm ON CAMPUS

 

Department of Mathematics and Computing Science

PART-TIME POSITIONS

WINTER SEMESTER 2023

COMPUTING SCIENCE COURSES, RECITATIONS, & LABS

The Department of Mathematics & Computing Science is seeking to staff the following courses, recitations, and labs for the Winter Semester, 2023. See below for specific courses, recitations, and labs.

Applications are invited in the first instance from part-time faculty colleagues who are on the Precedence List.

Please note the following:

  • Preference will be given to instructors willing to teach a course and one or more of its associated recitations.
  • Successful applicants for courses will be required to hold office hours and will invigilate and mark midterm and final examinations. 
  • For courses that are scheduled to be delivered remotely, applicants are expected to have access to sufficient technological resources – including internet connectivity and a webcam or similar equipment – to make this feasible.
  • Stipends are subject to the current negotiations between CUPE and Saint Mary’s University. At present, the stipend* for courses is $4852.00 – $6137.50 (depending on experience at Saint Mary’s), and the stipend* for recitations and labs is $2426.00 – $3068.75 (depending on experience at Saint Mary’s).

 

  • If you have never taught at Saint Mary’s:
    • SEND: an up-to-date CV with university transcripts and proof of degree(s)
    • HAVE SENT: Two letters of reference

Send your application to:  ptpositionsCS@cs.smu.ca

Applications should be received no later than November 4, 2022

The Department requires the following qualification and experience for the following lab:

 

  • Minimum Master’s Degree in Computing Science.
  • Successful experience teaching Introductory Computing Science at the University level in Python.

 

Computer Programming & Problem Solving

 

CSCI 1227.2LC F 11:30am – 2:30pm ON CAMPUS

***

The Department requires the following qualification and experience for the following course and/or lab:

 

  • Minimum Master’s Degree in Computing Science.
  • Successful experience teaching Introductory Computing Science at the University level in Java.

 

Advanced Computer Programming & Problem Solving

 

CSCI 1228.2 TR 10:00am – 11:15am ON CAMPUS

CSCI 1228.2L TR 11:30am – 12:45pm ON CAMPUS

***

The Department requires the following qualification and experience for the following course and/or recitations:

 

  • Minimum Master’s Degree in Computing Science.
  • Successful experience teaching Theoretical Foundations of Computing Science at the University level.

 

Theoretical Foundations of Computing Science

 

CSCI/MATH 2307.2 TR 01:00pm – 02:15pm ON CAMPUS

CSCI/MATH 2307.2RA F 10:00am – 11:15am ON CAMPUS

CSCI/MATH 2307.2RB F 11:30am – 12:45pm ON CAMPUS

***

The Department requires the following qualification and experience for the following course and/or recitation:

 

  • Minimum Master’s Degree in Computing Science.
  • Successful experience teaching Data Structures & Algorithms at the University level.

Data Structures & Algorithms I

 

CSCI 2341.2 MW 10:00am – 11:15am REMOTE

CSCI 2341.2R W 11:30am – 12:45pm REMOTE

***

The Department requires the following qualification and experience for the following course and/or recitations:

 

  • Minimum Master’s Degree in Computing Science.
  • Successful experience teaching Mobile App Development at the University level.

Mobile App Development

 

CSCI 2356.2 MW 4:00pm – 5:15pm ON CAMPUS

CSCI 2356.2RA M 5:30pm – 7:00pm ON CAMPUS

CSCI 2356.2RB W 5:30pm – 7:00pm ON CAMPUS

 

***

The Department requires the following qualification and experience for the following course:

  • Minimum Master’s Degree in Computing Science.
  • Successful experience teaching Artificial Intelligence at the University level.

Artificial Intelligence

CSCI 3482.2 TR 2:30pm – 3:45pm ON CAMPUS

***

The Department requires the following qualification and experience for the following course:

  • Minimum Master’s Degree in Computing Science.
  • Successful experience teaching Systems Security at the University level.

Systems Security

CSCI 4301.2 TR 5:30pm – 6:45pm ON CAMPUS

 
SMU

CUPE 3912 Job Posting for Part-Time Instructor

Course: MCDA 5580

Data and Text Mining

Department: M.Sc. in Computing and Data Analytics, Faculty of Science

Semester: Jan-Apr 2023

Schedule: Lectures Wednesday 5:30-6:45pm 

Academic Calendar Description:

With the availability of large databases to store, manage and assimilate data, the new thrust of data mining lies at the intersection of DB systems, artificial intelligence, and algorithms that efficiently analyze data. Highly complex big data techniques present many interesting computational challenges. Students use concepts from pattern recognition, statistics, data analysis, text mining, network analysis, and sentiment analysis, and machine learning for actionable analytics.

Qualifications:

  • Minimum Master’s Degree 
  • 5-10 years of experience in teaching, research and development in data and text mining. 
  • Comprehensive knowledge of and ability to teach mathematical foundations of various data and text mining techniques including clustering, classification, regression, time-series analysis, natural language processing.
  • Proficient in the use of Python, R, Alteryx platforms to implement solutions using the data and text mining techniques described above.
  • Experience working within an industry context.

Duties:

Duties include course/lecture preparation/delivery; in-class teaching; preparation and evaluation of all student assessments.  The successful candidate will be required to hold office hours and collaborate with M.Sc. CDA faculty and industry professors. 

Remuneration: 

Remuneration is in accordance with the Collective Agreement between Saint Mary’s University and CUPE 3912

How to Apply: 

Applications are invited in the first instance from part-time faculty colleagues on the Saint Mary’s precedence list. Applicants who currently hold a part-time teaching appointment at Saint Mary’s University should submit a cover letter and a C.V. Applicants who do not currently hold a part-time teaching appointment at Saint Mary’s University should submit a complete application (including a cover letter, CV, proof of academic credentials, name and contact information of three referees, and any evidence of teaching effectiveness).

Submissions are made as a single PDF file sent directly via email to: msc.cda@smu.ca 

Application deadline: November 01, 2022

Saint Mary’s University hires on the basis of merit and is committed to the principles of employment equity. Saint Mary’s University encourages applications from qualified women, visible minorities, Aboriginal people, and people with disabilities. Preference will be given to Canadian citizens and permanent residents of Canada.

 



CUPE 3912 Job Posting for Part-Time Instructor

Course: MCDA 5570

Big Data and Information Technology Management

Department: M.Sc. in Computing and Data Analytics, Faculty of Science

Semester: Jan-Apr 2023

Schedule: Lectures Tuesday 5:30-6:45pm 

Academic Calendar Description:

Students are provided with processes, models, and frameworks to develop organizational IT strategy in the context of big data. Students focus on leading software and hardware platforms, business software applications and their strategy maps (CRM, ERP, supply chain management, product lifecycle management. Technology adoption, emerging technologies, and diffusion of innovations are covered. 

Qualifications:

  • Minimum Master’s Degree 
  • 5-10 years of experience in managing computing hardware and software, including Hadoop, Spark, cloud Computing, general system administration, hardware and software acquisition, setting up servers, networks, web services, SQL server, NoSQL server such as Mongo DB, server-side web programming services including PHP and node.js, creating and managing desktop images in a lab environment.
  • Experience working within an industry context.

Duties:

Duties include course/lecture preparation/delivery; in-class teaching; preparation and evaluation of all student assessments.  The successful candidate will be required to hold office hours and collaborate with M.Sc. CDA faculty and industry professors. 

Remuneration: 

Remuneration is in accordance with the Collective Agreement between Saint Mary’s University and CUPE 3912

How to Apply: 

Applications are invited in the first instance from part-time faculty colleagues on the Saint Mary’s precedence list. Applicants who currently hold a part-time teaching appointment at Saint Mary’s University should submit a cover letter and a C.V. Applicants who do not currently hold a part-time teaching appointment at Saint Mary’s University should submit a complete application (including a cover letter, CV, proof of academic credentials, name and contact information of three referees, and any evidence of teaching effectiveness).

Submissions are made as a single PDF file sent directly via email to: msc.cda@smu.ca 

Application deadline: November 01, 2022

Saint Mary’s University hires on the basis of merit and is committed to the principles of employment equity. Saint Mary’s University encourages applications from qualified women, visible minorities, Aboriginal people, and people with disabilities. Preference will be given to Canadian citizens and permanent residents of Canada.



CUPE 3912 Job Posting for Part-Time Instructor

Course: MCDA 5550

Web, Mobile, and Cloud Application Development

Department: M.Sc. in Computing and Data Analytics, Faculty of Science

Semester: Jan-Apr 2023

Schedule: Lectures Thursday 5:30pm – 8:15pm 

Academic Calendar Description:

Students develop applications that are accessible through the internet on a variety of platforms including cloud environments and mobile devices. An emphasis is placed on designing and deploying mobile applications; push technology; data structures and memory management; interface design; Scalable Vector Graphics (SVG); cloud computing; and privacy/security.

Qualifications:

  • Minimum Master’s Degree 
  • 5-10 years of experience in managing software development across platforms including Web, Mobile, and Cloud Computing.
  • Experience working within an industry context. 

Duties:

Duties include course/lecture preparation/delivery; in-class teaching; preparation and evaluation of all student assessments.  The successful candidate will be required to hold office hours and collaborate with M.Sc. CDA faculty and industry professors. 

Remuneration: 

Remuneration is in accordance with the Collective Agreement between Saint Mary’s University and CUPE 3912

How to Apply: 

Applications are invited in the first instance from part-time faculty colleagues on the Saint Mary’s precedence list. Applicants who currently hold a part-time teaching appointment at Saint Mary’s University should submit a cover letter and a C.V. Applicants who do not currently hold a part-time teaching appointment at Saint Mary’s University should submit a complete application (including a cover letter, CV, proof of academic credentials, name and contact information of three referees, and any evidence of teaching effectiveness).

Submissions are made as a single PDF file sent directly via email to: msc.cda@smu.ca 

Application deadline: November 01, 2022

Saint Mary’s University hires on the basis of merit and is committed to the principles of employment equity. Saint Mary’s University encourages applications from qualified women, visible minorities, Aboriginal people, and people with disabilities. Preference will be given to Canadian citizens and permanent residents of Canada.
MSVU

————————————————-
Department/Faculty: Mathematics
Course Name: Introduction to Graph Theory / Graph Theory
Course Code: MATH 3333 01 / MATH 4333 01
Academic Term: Fall
Class Timetable: MW 3:00PM – 4:15PM On-campus
Course Unit Value: 0.5
—————————————————
Start Date: 9/7/2022
End Date: 12/19/2022
—————————————————
Qualifications:
PhD in Mathematics.

The lectures for MATH 3333 and 4333 are given simultaneously in the same
room to senior mathematics majors and honors students. Assignment
questions, test questions, final examination questions and their grading
schemes differ for the three and four thousand level versions of the
course.  Knowledge of graph theory and recent experience teaching
mathematics courses to mathematics majors is required.

Please note that in the event that it is required that this on campus
course be moved online candidates must have experience and be prepared to
teach using the Blackboard/Collaborate virtual classroom. Candidates must
be willing to participate in additional training in the optimum range of
teaching operations in the Moodle LMS and in the Collaborate virtual
classroom, if necessary, to reach the required level of competency before
the course begins. Candidates must also be sensitive to the needs of
distant, mature and part-time learners. Synchronous and asynchronous
discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:

—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.ca

Application deadline: 8/11/2022
—————————————————

———————————————-
Department/Faculty: Mathematics
Course Name: Introduction to Statistics II
Course Code: MATH 2209 04
Academic Term: Winter
Class Timetable: TTH 12:00PM – 1:15PM On-campus

Course Unit Value: 0.5
—————————————————
Start Date: 1/9/2023
End Date: 4/22/2023
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
advanced coursework in Statistics.In addition, experience teaching similar introductory statistics to
non-science majors and experience with the use of MINITAB for data
analysis is required.Please note that in the event that it is required that this on campus
course be moved online candidates must have experience and be prepared to
teach using the Blackboard/Collaborate virtual classroom. Candidates must
be willing to participate in additional training in the optimum range of
teaching operations in the Moodle LMS and in the Collaborate virtual
classroom, if necessary, to reach the required level of competency before
the course begins. Candidates must also be sensitive to the needs of
distant, mature and part-time learners. Synchronous and asynchronous
discussions occur during the week on-line.Duties: This is a coordinated course with a laboratory component. The
laboratory components are taught by the laboratory instructor.
Instructors are required to follow the common course syllabus and
guidelines for assignments, midterm and final exams, and grades.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.caApplication deadline: 8/25/2022
—————————————————

———————————————-
Department/Faculty: Mathematics
Course Name: Introduction to Statistics II
Course Code: MATH 2209 01
Academic Term: Winter
Class Timetable: MW 9:00AM – 10:15AM On-campus
Course Unit Value: 0.5
—————————————————
Start Date: 1/9/2023
End Date: 4/22/2023
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
advanced coursework in Statistics.

In addition, experience teaching similar introductory statistics to
non-science majors and experience with the use of MINITAB for data
analysis is required.

Please note that in the event that it is required that this on campus
course be moved online candidates must have experience and be prepared to
teach using the Blackboard/Collaborate virtual classroom. Candidates must
be willing to participate in additional training in the optimum range of
teaching operations in the Moodle LMS and in the Collaborate virtual
classroom, if necessary, to reach the required level of competency before
the course begins. Candidates must also be sensitive to the needs of
distant, mature and part-time learners. Synchronous and asynchronous
discussions occur during the week on-line.

Duties: This is a coordinated course with a laboratory component. The
laboratory components are taught by the laboratory instructor.
Instructors are required to follow the common course syllabus and
guidelines for assignments, midterm and final exams, and grades.

—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.caApplication deadline: 8/25/2022
—————————————————

————————————————
Department/Faculty: Mathematics
Course Name: Introductory Calculus II
Course Code: MATH 1114 02
Academic Term: Winter
Class Timetable: TTH 9:00AM – 10:15AM On-campus
Course Unit Value: 0.5
—————————————————
Start Date: 1/9/2023
End Date: 4/22/2023

—————————————————
Qualifications:
PhD or Master’s degree in Mathematics. In addition, the successful
candidate must have prior experience teaching Introductory Calculus at the
University level in courses which include students from a variety of
majors.Please note that in the event that it is required that this on campus
course be moved online candidates must have experience and be prepared to
teach using the Blackboard/Collaborate virtual classroom. Candidates must
be willing to participate in additional training in the optimum range of
teaching operations in the Moodle LMS and in the Collaborate virtual
classroom, if necessary, to reach the required level of competency before
the course begins. Candidates must also be sensitive to the needs of
distant, mature and part-time learners. Synchronous and asynchronous
discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.ca

Application deadline: 8/25/2022
—————————————————

————————————————-
Department/Faculty: Mathematics
Course Name: Introductory Calculus I
Course Code: MATH 1113 02
Academic Term: Fall
Class Timetable: TTH 9:00AM – 10:15AM On-campus
Course Unit Value: 0.5
—————————————————
Start Date: 9/7/2022
End Date: 12/19/2022
—————————————————
Qualifications:
PhD or Master’s degree in Mathematics. In addition, the successful
candidate must have prior experience teaching Introductory Calculus at the
University level in courses which include students from a variety of
majors.

Please note that in the event that it is required that this on campus
course be moved online candidates must have experience and be prepared to
teach using the Blackboard/Collaborate virtual classroom. Candidates must
be willing to participate in additional training in the optimum range of
teaching operations in the Moodle LMS and in the Collaborate virtual
classroom, if necessary, to reach the required level of competency before
the course begins. Candidates must also be sensitive to the needs of
distant, mature and part-time learners. Synchronous and asynchronous
discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:

—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.ca

Application deadline: 8/11/2022
—————————————————
DAL

Position Title Part-Time Academic (MATH 1010.03 – Fall Term of 2022)
Posting Number PTAP1647P
Department/Unit Mathematics & Statistics
Location Halifax
Job Summary & Key Responsibilities

The Part-Time Academic will be responsible for teaching Differential & Integral Calculus II (MATH 1010.03) in the upcoming fall term (contract dates September 1 to December 31).

The topics to be covered in the course are available from the Department Chair. Course descriptions are provided in the Undergraduate Calendar published online ( https://academiccalendar.dal.ca ) by the Registrar’s Office, Dalhousie University.

Please see the academic timetable ( www.dal.ca/timetable ) for the days, times & location(s) of this course. Please note this course is expected to be delivered in-person.
Qualifications/Requirements of Position

A combination of a MSc degree in Mathematics or Statistics and previous teaching experience is required. Completion of a PhD or PhD in progress is considered an asset. The successful applicant must have demonstrated knowledge of the subject matter. Experience teaching large classes or direct experience of teaching this class is considered an asset.

Please provide teaching evaluations if available.
Salary Range/Pay Rate Per CUPE Collective Agreement – Local 3912
Additional Information
All offers of employment as a Part-Time Academic are conditional upon sufficient student enrolment in the course and approval by the University. Dalhousie University is committed to fostering a collegial culture grounded in diversity and inclusiveness. The university encourages applications from Aboriginal people, persons with a disability, racially visible persons, women, persons of minority sexual orientations and gender identities, and all candidates who would contribute to the diversity of our community.

Posting Detail Information

Term of appointment September 1, 2022 to December 31, 2022
Open Date 07/27/2022
Close Date 08/08/2022
Open Until Filled
Quick Link for Direct Access to Posting https://dal.peopleadmin.ca/postings/11036

Documents Needed to Apply

Required Documents

  1. Cover Letter
  2. Résumé / Curriculum Vitae (CV)
  3. List of referees

Optional Documents

  1. Teaching Dossier
MSVU

———————————————–
Department/Faculty: Mathematics
Course Name: Introduction to Statistics II
Course Code: MATH 2209 38
Academic Term: Winter
Class Timetable: TTH 10:30AM – 11:45AM Synchronous Online

Course Unit Value: 0.5
—————————————————
Start Date: 1/9/2023
End Date: 4/22/2023
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
advanced coursework in Statistics.In addition, experience teaching similar introductory statistics to
non-science majors and experience with the use of MINITAB for data
analysis is required.Candidates must also have experience using the Blackboard/Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
Synchronous and asynchronous discussions occur during the week on-line.—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
This is a coordinated course with a laboratory component. The laboratory
components are taught by the laboratory instructor.  Instructors are
required to follow the common course syllabus and guidelines for
assignments, midterm and final exams, and grades.Due to distance, the mailing of materials may extend beyond the
traditional time frames of the course.—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.caApplication deadline: 8/11/2022
—————————————————

———————————————–
Department/Faculty: Mathematics
Course Name: Introduction to Statistics II
Course Code: MATH 2209 29
Academic Term: Winter
Class Timetable: T 8:00PM – 10:00PM Synchronous Online

Course Unit Value: 0.5
—————————————————
Start Date: 1/9/2023
End Date: 4/22/2023
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
advanced coursework in Statistics.In addition, experience teaching similar introductory statistics to
non-science majors and experience with the use of MINITAB for data
analysis is required.Candidates must also have experience using the Blackboard/Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
Synchronous and asynchronous discussions occur during the week on-line.—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
This is a coordinated course with a laboratory component. The laboratory
components are taught by the laboratory instructor.  Instructors are
required to follow the common course syllabus and guidelines for
assignments, midterm and final exams, and grades.Due to distance, the mailing of materials may extend beyond the
traditional time frames of the course.—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.caApplication deadline: 8/11/2022
—————————————————

———————————————–
Department/Faculty: Mathematics
Course Name: Introduction to Statistics II
Course Code: MATH 2209 28
Academic Term: Winter
Class Timetable: M 8:00PM – 10:00PM Synchronous Online

Course Unit Value: 0.5
—————————————————
Start Date: 1/9/2023
End Date: 4/22/2023
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
advanced coursework in Statistics.In addition, experience teaching similar introductory statistics to
non-science majors and experience with the use of MINITAB for data
analysis is required.Candidates must also have experience using the Blackboard/Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
Synchronous and asynchronous discussions occur during the week on-line.—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
This is a coordinated course with a laboratory component. The laboratory
components are taught by the laboratory instructor.  Instructors are
required to follow the common course syllabus and guidelines for
assignments, midterm and final exams, and grades.Due to distance, the mailing of materials may extend beyond the
traditional time frames of the course.—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.caApplication deadline: 8/11/2022
—————————————————

————————————————
Department/Faculty: Mathematics
Course Name: Introduction to Statistics II
Course Code: MATH 2209 27
Academic Term: Winter
Class Timetable: M 7:00PM – 9:00PM Synchronous Online
Course Unit Value: 0.5
—————————————————
Start Date: 1/9/2023
End Date: 4/22/2023
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
advanced coursework in Statistics.

In addition, experience teaching similar introductory statistics to
non-science majors and experience with the use of MINITAB for data
analysis is required.

Candidates must also have experience using the Blackboard/Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
Synchronous and asynchronous discussions occur during the week on-line.

—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
This is a coordinated course with a laboratory component. The laboratory
components are taught by the laboratory instructor.  Instructors are
required to follow the common course syllabus and guidelines for
assignments, midterm and final exams, and grades.

Due to distance, the mailing of materials may extend beyond the
traditional time frames of the course.

 

—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.caApplication deadline: 8/11/2022
—————————————————

———————————————-
Department/Faculty: Mathematics
Course Name: Introduction to Statistics II
Course Code: MATH 2209 02
Academic Term: Winter
Class Timetable: MW 12:00PM – 1:15PM On-campus
Course Unit Value: 0.5
—————————————————
Start Date: 1/9/2023
End Date: 4/22/2023
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
advanced coursework in Statistics.

In addition, experience teaching similar introductory statistics labs to
non-science majors and experience with the use of MINITAB for data
analysis is required.

Please note that in the event that it is required that this on campus
course be moved online candidates must have experience and be prepared to
teach using the Blackboard/Collaborate virtual classroom. Candidates must
be willing to participate in additional training in the optimum range of
teaching operations in the Moodle LMS and in the Collaborate virtual
classroom, if necessary, to reach the required level of competency before
the course begins. Candidates must also be sensitive to the needs of
distant, mature and part-time learners. Synchronous and asynchronous
discussions occur during the week on-line.

—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
This is a coordinated course with a laboratory component. The laboratory
components are taught by the laboratory instructor.  Instructors are
required to follow the common course syllabus and guidelines for
assignments, midterm and final exams, and grades.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.ca

Application deadline: 8/11/2022
—————————————————

————————————————
Department/Faculty: Mathematics
Course Name: Introduction to Statistics II
Course Code: MATH 2209 18
Academic Term: Fall
Class Timetable: T 8:00PM – 10:00PM Synchronous Online

Course Unit Value: 0.5
—————————————————
Start Date: 9/7/2022
End Date: 12/19/2022
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
advanced coursework in Statistics.In addition, experience teaching similar introductory statistics to
non-science majors and experience with the use of MINITAB for data
analysis is required.Candidates must also have experience using the Blackboard/Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
Synchronous and asynchronous discussions occur during the week on-line.—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
This is a coordinated course with a laboratory component. The laboratory
components are taught by the laboratory instructor.  Instructors are
required to follow the common course syllabus and guidelines for
assignments, midterm and final exams, and grades.Due to distance, the mailing of materials may extend beyond the
traditional time frames of the course.—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.caApplication deadline: 7/28/2022
—————————————————

———————————————
Department/Faculty: Mathematics
Course Name: Introduction to Statistics II
Course Code: MATH 2209 19
Academic Term: Fall
Class Timetable: MW 9:00AM – 10:15AM Synchronous Online
Course Unit Value: 0.5
—————————————————
Start Date: 9/7/2022
End Date: 12/19/2022

—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
advanced coursework in Statistics.In addition, experience teaching similar introductory statistics to
non-science majors and experience with the use of MINITAB for data
analysis is required.Candidates must also have experience using the Blackboard/Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
Synchronous and asynchronous discussions occur during the week on-line.—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
This is a coordinated course with a laboratory component. The laboratory
components are taught by the laboratory instructor.  Instructors are
required to follow the common course syllabus and guidelines for
assignments, midterm and final exams, and grades.Due to distance, the mailing of materials may extend beyond the
traditional time frames of the course.—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.ca

Application deadline: 7/28/2022
—————————————————

————————————————-
Department/Faculty: Mathematics
Course Name: Introduction to Statistics I
Course Code: MATH 2208 49
Academic Term: Winter
Class Timetable: MW 10:30AM – 11:45AM Synchronous Online

Course Unit Value: 0.5
—————————————————
Start Date: 1/9/2023
End Date: 4/22/2023
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
advanced coursework in Statistics.In addition, experience teaching similar introductory statistics to
non-science majors and experience with the use of MINITAB for data
analysis is required.Candidates must also have experience using the Blackboard/Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
Synchronous and asynchronous discussions occur during the week on-line.—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
This is a coordinated course with a laboratory component. The laboratory
components are taught by the laboratory instructor.  Instructors are
required to follow the common course syllabus and guidelines for
assignments, midterm and final exams, and grades.Due to distance, the mailing of materials may extend beyond the
traditional time frames of the course.—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.caApplication deadline: 8/11/2022
—————————————————

———————————————
Department/Faculty: Mathematics
Course Name: Introduction to Statistics I
Course Code: MATH 2208 48
Academic Term: Winter
Class Timetable: MW 9:00AM – 10:15AM Synchronous Online

Course Unit Value: 0.5
—————————————————
Start Date: 1/9/2023
End Date: 4/22/2023
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
advanced coursework in Statistics.In addition, experience teaching similar introductory statistics to
non-science majors and experience with the use of MINITAB for data
analysis is required.Candidates must also have experience using the Blackboard/Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
Synchronous and asynchronous discussions occur during the week on-line.—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
This is a coordinated course with a laboratory component. The laboratory
components are taught by the laboratory instructor.  Instructors are
required to follow the common course syllabus and guidelines for
assignments, midterm and final exams, and grades.Due to distance, the mailing of materials may extend beyond the
traditional time frames of the course.—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.caApplication deadline: 8/11/2022
—————————————————

————————————————
Department/Faculty: Mathematics
Course Name: Introduction to Statistics I
Course Code: MATH 2208 39
Academic Term: Winter
Class Timetable: T 7:00PM – 9:00PM Synchronous Online
Course Unit Value: 0.5
—————————————————
Start Date: 1/9/2023
End Date: 4/22/2023
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
advanced coursework in Statistics.

In addition, experience teaching similar introductory statistics to

non-science majors and experience with the use of MINITAB for data
analysis is required.Candidates must also have experience using the Blackboard/Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
Synchronous and asynchronous discussions occur during the week on-line.—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
This is a coordinated course with a laboratory component. The laboratory
components are taught by the laboratory instructor.  Instructors are
required to follow the common course syllabus and guidelines for
assignments, midterm and final exams, and grades.Due to distance, the mailing of materials may extend beyond the
traditional time frames of the course.—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.ca

Application deadline: 8/11/2022
—————————————————

————————————————-
Department/Faculty: Mathematics
Course Name: Introduction to Statistics I
Course Code: MATH 2208 27
Academic Term: Fall
Class Timetable: T 7:30PM – 9:30PM Synchronous Online
Course Unit Value: 0.5
—————————————————
Start Date: 9/7/2022
End Date: 12/19/2022
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
advanced coursework in Statistics.

In addition, experience teaching similar introductory statistics labs to
non-science majors and experience with the use of MINITAB for data
analysis is required.

Candidates must also have experience using the Blackboard/Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
Synchronous and asynchronous discussions occur during the week on-line.

—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
This is a coordinated course with a laboratory component. The laboratory
components are taught by the laboratory instructor.  Instructors are
required to follow the common course syllabus and guidelines for
assignments, midterm and final exams, and grades.

Due to distance, the mailing of materials may extend beyond the
traditional time frames of the course.

 

—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.caApplication deadline: 7/28/2022
—————————————————

——————————————–
Department/Faculty: Mathematics
Course Name: Introduction to Statistics I
Course Code: MATH 2208 04
Academic Term: Fall
Class Timetable: TTH 1:30PM – 2:45PM On-campus

Course Unit Value: 0.5
—————————————————
Start Date: 9/7/2022
End Date: 12/19/2022
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
advanced coursework in Statistics.In addition, experience teaching similar introductory statistics to
non-science majors and with the use of MINITAB for data analysis is
required.Please note that in the event that it is required that this on campus
course be moved online candidates must have experience and be prepared to
teach using the Blackboard/Collaborate virtual classroom. Candidates must
be willing to participate in additional training in the optimum range of
teaching operations in the Moodle LMS and in the Collaborate virtual
classroom, if necessary, to reach the required level of competency before
the course begins. Candidates must also be sensitive to the needs of
distant, mature and part-time learners. Synchronous and asynchronous
discussions occur during the week on-line.—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
This is a coordinated course with a laboratory component. The laboratory
components are taught by the laboratory instructor.  Instructors are
required to follow the common course syllabus and guidelines for
assignments, midterm and final exams, and grades.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.caApplication deadline: 7/28/2022
—————————————————

———————————————–
Department/Faculty: Mathematics
Course Name: Introduction to Statistics I
Course Code: MATH 2208 02
Academic Term: Fall
Class Timetable: TTH 10:30AM – 11:45AM On-campus

Course Unit Value: 0.5
—————————————————
Start Date: 9/7/2022
End Date: 12/19/2022
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
advanced coursework in Statistics.In addition, experience teaching similar introductory statistics to
non-science majors and with the use of MINITAB for data analysis is
required.Please note that in the event that it is required that this on campus
course be moved online candidates must have experience and be prepared to
teach using the Blackboard/Collaborate virtual classroom. Candidates must
be willing to participate in additional training in the optimum range of
teaching operations in the Moodle LMS and in the Collaborate virtual
classroom, if necessary, to reach the required level of competency before
the course begins. Candidates must also be sensitive to the needs of
distant, mature and part-time learners. Synchronous and asynchronous
discussions occur during the week on-line.—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
This is a coordinated course with a laboratory component. The laboratory
components are taught by the laboratory instructor.  Instructors are
required to follow the common course syllabus and guidelines for
assignments, midterm and final exams, and grades.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.caApplication deadline: 7/28/2022
—————————————————

————————————————
Department/Faculty: Mathematics
Course Name: Introduction to Statistics I
Course Code: MATH 2208 01
Academic Term: Fall
Class Timetable: MW 12:00PM – 1:15PM On-campus
Course Unit Value: 0.5
—————————————————
Start Date: 9/7/2022
End Date: 12/19/2022
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
advanced coursework in Statistics.

In addition, experience teaching similar introductory statistics to
non-science majors and with the use of MINITAB for data analysis is
required.

Please note that in the event that it is required that this on campus
course be moved online candidates must have experience and be prepared to
teach using the Blackboard/Collaborate virtual classroom. Candidates must
be willing to participate in additional training in the optimum range of
teaching operations in the Moodle LMS and in the Collaborate virtual
classroom, if necessary, to reach the required level of competency before
the course begins. Candidates must also be sensitive to the needs of
distant, mature and part-time learners. Synchronous and asynchronous
discussions occur during the week on-line.

—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
This is a coordinated course with a laboratory component. The laboratory
components are taught by the laboratory instructor.  Instructors are
required to follow the common course syllabus and guidelines for
assignments, midterm and final exams, and grades.

—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.caApplication deadline: 7/28/2022
—————————————————

———————————————-
Department/Faculty: Mathematics
Course Name: Precalculus I
Course Code: MATH 1102 18
Academic Term: Fall
Class Timetable: TH 9:00AM – 10:15AM Multi-Mode Online
Course Unit Value: 0.5
—————————————————
Start Date: 9/7/2022
End Date: 12/19/2022
—————————————————
Qualifications:
PhD or Master’s degree in Mathematics. In addition, the successful
candidate must have prior experience teaching Precalculus at the
University level in courses which include students from a variety of
majors.

Candidates must also have experience using the Blackboard/Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
Synchronous and asynchronous discussions occur during the week on-line.

—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Due to distance, the mailing of materials may extend beyond the
traditional time frames of the course.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.ca

Application deadline: 7/28/2022
—————————————————

————————————————
Department/Faculty: Mathematics
Course Name: Statistics and Mathematics Preparation
Course Code: MATH 0027 19

Academic Term: Winter
Class Timetable: Asynchronous Online
Course Unit Value: 0.5
—————————————————
Start Date: 1/9/2023
End Date: 4/22/2023
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Mathematics or Statistics.In addition, experience teaching a similar course to prepare non-science
majors who will be taking further Mathematics and/or Statistics courses is
required.Candidates must also have experience using the Blackboard/Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
Synchronous and asynchronous discussions occur during the week on-line.—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Due to distance, the mailing of materials may extend beyond the
traditional time frames of the course.—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.caApplication deadline: 8/11/2022
—————————————————

————————————————
Department/Faculty: Mathematics
Course Name: Statistics and Mathematics Preparation
Course Code: MATH 0027 18
Academic Term: Winter
Class Timetable: Asynchronous Online
Course Unit Value: 0.5
—————————————————
Start Date: 1/9/2023
End Date: 4/22/2023

—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Mathematics or Statistics.In addition, experience teaching a similar course to prepare non-science
majors who will be taking further Mathematics and/or Statistics courses is
required.Candidates must also have experience using the Blackboard/Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
Synchronous and asynchronous discussions occur during the week on-line.—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Due to distance, the mailing of materials may extend beyond the
traditional time frames of the course.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.ca

Application deadline: 8/11/2022
—————————————————

————————————————-
Department/Faculty: Mathematics
Course Name: Statistics and Mathematics Preparation
Course Code: MATH 0027 19

Academic Term: Fall
Class Timetable: Asynchronous Online
Course Unit Value: 0.5
—————————————————
Start Date: 9/7/2022
End Date: 12/19/2022
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Mathematics or Statistics.In addition, experience teaching a similar course to prepare non-science
majors who will be taking further Mathematics and/or Statistics courses is
required.Candidates must also have experience using the Blackboard/Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
Synchronous and asynchronous discussions occur during the week on-line.—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Due to distance, the mailing of materials may extend beyond the
traditional time frames of the course.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.caApplication deadline: 7/28/2022
—————————————————

————————————————–
Department/Faculty: Mathematics
Course Name: Statistics and Mathematics Preparation
Course Code: MATH 0027 18
Academic Term: Fall
Class Timetable: Asynchronous Online
Course Unit Value: 0.5
—————————————————
Start Date: 9/7/2022
End Date: 12/19/2022
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Mathematics or Statistics.

In addition, experience teaching a similar course to prepare non-science
majors who will be taking further Mathematics and/or Statistics courses is
required.

Candidates must also have experience using the Blackboard/Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
Synchronous and asynchronous discussions occur during the week on-line.

—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Due to distance, the mailing of materials may extend beyond the
traditional time frames of the course.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.ca

Application deadline: 7/28/2022
—————————————————
SMU

PART-TIME POSITIONS

FALL TERM 2022

CSCI 3428.1

(Software Engineering)

The Department of Mathematics & Computing Science is seeking to staff the following course for the 2022 Fall Semester.

CSCI 3428.1 MW 1:00pm – 2:15pm   – ON CAMPUS

The successful candidate will be required to hold office hours and grade major assessments such as midterms and final examinations.

The stipend* for CSCI 3428.1 is $4852.00 – $6137.50 (depending on experience at Saint Mary’s). 

The Department requires the following qualification and experience:

Minimum Master’s Degree in Computing Science.

Successful experience teaching Software Engineering at the University level.

Applications are invited in the first instance from part-time faculty colleagues who are on the Precedence List.

Send your application to: ptpositionsCS@cs.smu.ca

If you have never taught at Saint Mary’s,

Send:

-An up-to-date Curriculum Vitae

-University transcripts and Proof of Degrees

(e.g., photocopies of certificates)

AND

Have sent:

-Two (2) letters of reference.

*The stipend is subject to the current negotiations between CUPE and Saint Mary’s University

Applications should be received no later than July 25, 2022

PART-TIME POSITIONS

FALL TERM 2022

CSCI 2327.1 & Recitations

(Digital Logic & Computer Architecture)

The Department of Mathematics & Computing Science is seeking to staff the following course and recitations for the 2022 Fall Semester.

CSCI 2327.1 TR 02:30pm – 03:45pm – ON CAMPUS

CSCI 2327.1RA T 04:00pm – 05:15pm – ON CAMPUS

CSCI 2327.1RB R 04:00pm – 05:15pm – ON CAMPUS

The course and recitations are offered as a unit: preference will be given to instructors willing to teach the recitations as well. The successful candidate will be required to hold office hours and grade major assessments such as midterms and final examinations. 

The stipend* for the CSCI 2327.1 lecture is $4852.00 – $6137.50 (depending on experience at Saint Mary’s). The stipend* for the CSCI 2327.1 recitations is $2426.00 – $3068.75 (depending on experience at Saint Mary’s).

The Department requires the following qualification and experience:

Minimum Master’s Degree in Computing Science

Successful experience teaching Digital Logic and Computer Architecture at the university level.

Applications are invited in the first instance from part-time faculty colleagues who are on the Precedence List.

Send your application to: ptpositionsCS@cs.smu.ca

If you have never taught at Saint Mary’s,

Send:

-An up-to-date Curriculum Vitae

-University transcripts and Proof of Degrees

(e.g., photocopies of certificates)

AND

Have sent:

-Two (2) letters of reference.

*The stipend is subject to the current negotiations between CUPE and Saint Mary’s University

Applications should be received no later than July 25, 2022

PART-TIME POSITIONS

FALL TERM 2022

CSCI/MATH 2308.1 & Recitations

(Introduction to Numerical Analysis)

 

The Department of Mathematics & Computing Science is seeking to staff the following course and recitations for the 2022 Fall Semester.

CSCI/MATH 2308.1 MW 04:00pm – 05:15pm – ON CAMPUS

CSCI/MATH 2308.1RA F 11:30am – 12:45pm – ON CAMPUS

CSCI/MATH 2308.1RB F 01:00pm – 02:15pm – ON CAMPUS

The course and recitations are offered as a unit: preference will be given to instructors willing to teach the recitations as well. The successful candidate will be required to hold office hours and grade major assessments such as midterms and final examinations. 

The stipend* for the CSCI 2308.1 lecture is $4852.00 – $6137.50 (depending on experience at Saint Mary’s). The stipend* for the CSCI 2308.1 recitations is $2426.00 – $3068.75 (depending on experience at Saint Mary’s).

 

The Department requires the following qualification and experience:

Minimum Master’s Degree in Computing Science or Mathematics.

Successful experience teaching Numerical Analysis at the University level.

Applications are invited in the first instance from part-time faculty colleagues who are on the Precedence List.

Send your application to: ptpositionsCS@cs.smu.ca

If you have never taught at Saint Mary’s,

Send:

-An up-to-date Curriculum Vitae

-University transcripts and Proof of Degrees

(e.g., photocopies of certificates)

AND

Have sent:

-Two (2) letters of reference.

*The stipend is subject to the current negotiations between CUPE and Saint Mary’s University

Applications should be received no later than July 25, 2022

PART-TIME POSITIONS

FALL TERM 2022

CSCI 3430.1 & REC

(Principles of Programming Languages)

 

The Department of Mathematics & Computing Science is seeking to staff the following course and recitations for the 2022 Fall Semester.

 

CSCI 3430.1 TR 05:30pm – 06:45pm – ON CAMPUS

CSCI 3430.1RA T 07:00pm – 08:15pm – ON CAMPUS

CSCI 3430.1RB R 07:00pm – 08:15pm – ON CAMPUS

The course and recitations are offered as a unit: preference will be given to instructors willing to teach the recitations as well. The successful candidate will be required to hold office hours and grade major assessments such as midterms and final examinations. 

The stipend* for the CSCI 3430.1 lecture is $4852.00 – $6137.50 (depending on experience at Saint Mary’s). The stipend* for the CSCI 3430.1 recitations is $2426.00 – $3068.75 (depending on experience at Saint Mary’s).

The Department requires the following qualification and experience:

Minimum Master’s Degree in Computing Science

Successful experience teaching Principles of Programming Languages at the University level.

Applications are invited in the first instance from part-time faculty colleagues who are on the Precedence List.

Send your application to: 

ptpositionsCS@cs.smu.ca

If you have never taught at Saint Mary’s,

Send:

-An up-to-date Curriculum Vitae

-University transcripts and Proof of Degrees

(e.g., photocopies of certificates)

AND

Have sent:

-Two (2) letters of reference.

*The stipend is subject to the current negotiations between CUPE and Saint Mary’s University

Applications should be received no later than July 25, 2022
SMU

PART-TIME POSITIONS

FALL SEMESTER 2022

RECITATIONS

The Department of Mathematics & Computing Science is seeking to staff the following RECITATIONS for the Fall Semester, 2022:

MATH 1190.1RC F 1:00pm – 2:15pm ON CAMPUS

MATH 1190.1RD R 2:30pm – 3:45pm ON CAMPUS

 

MATH 1210.1RB F 10:00am – 11:15am ON CAMPUS

MATH 1210.1RE F 1:00pm – 2:15pm ON CAMPUS

MATH 1210.1RH R 2:30pm – 3:45pm ON CAMPUS

MATH 1210.1RJ F 2:30pm – 3:45pm ON CAMPUS

 

MATH 1250.1RA R 4:00pm – 5:15pm ON CAMPUS

MATH 1250.1RB F 10:00am – 11:15am ON CAMPUS

MATH 1250.1RC F 11:30am – 12:45pm ON CAMPUS

 

MATH 2301.1RA R 11:30am – 12:45pm ON CAMPUS

MATH 2301.1RB R 4:00pm – 5:15pm ON CAMPUS

MATH 2301.1RC F 10:00am – 11:15am ON CAMPUS

MATH 2301.1RD F 11:30am – 12:45pm ON CAMPUS

 

MATH 2311.1RD F 11:30am – 12:45pm ON CAMPUS

                   

The successful applicants will be required to maintain reasonable contact with students and to grade all major assessments such as midterm and final examinations.

The stipend* for each recitation is $2426.00 – $3068.75 (depending on experience at Saint Mary’s).

The Department requires the following qualification and experience:

Minimum Master’s Degree in Mathematics or Mathematics Education

Successful experience teaching similar course at the University level.

Applications are invited in the first instance from part-time faculty colleagues who are on the Precedence List.


Send your application to:  ptpositionsmath@cs.smu.ca 

If you have never taught at Saint Mary’s,

Send:

-An up-to-date Curriculum Vitae

-University transcripts and Proof of Degrees

(e.g., photocopies of certificates)

AND

Have sent:

-Two (2) letters of reference.

*The stipend is subject to the current negotiations between CUPE and Saint Mary’s University

Applications should be received no later than July 24, 2022

PART-TIME POSITIONS

FALL SEMESTER 2022

MATH 1251.1 and RECITATION

(Calculus for Life Sciences II)

The Department of Mathematics & Computing Science is seeking to staff the following course and recitation for the Fall Semester, 2022:

 

MATH 1251.1 MW 8:30am – 9:45am ON CAMPUS

MATH 1251.1R F 1:00pm – 2:15pm ON CAMPUS

The course and recitation are offered as a unit. The successful applicant will be required to maintain reasonable contact with students and to grade all major assessments such as midterm and final examinations.

 

The stipend* for MATH 1251.1 is $4852.00 – $6137.50 (depending on experience at Saint Mary’s). 

The stipend* for the corresponding recitation is $2426.00 – $3068.75 (depending on experience at Saint Mary’s).

The Department requires the following qualification and experience:

Minimum Master’s Degree in Mathematics or Mathematics Education

Successful experience teaching Calculus at the University Level

Applications are invited in the first instance from part-time faculty colleagues who are on the Precedence List.

Send your application to:  ptpositionsmath@cs.smu.ca 

If you have never taught at Saint Mary’s,

Send:

-An up-to-date Curriculum Vitae

-University transcripts and Proof of Degrees

(e.g., photocopies of certificates)

AND

Have sent:

-Two (2) letters of reference.

*The stipend is subject to the current negotiations between CUPE and Saint Mary’s University

Applications should be received no later than July 24, 2022

 

PART-TIME POSITIONS

FALL SEMESTER 2022

MATH 1202.1 and RECITATION

(Concepts and Topics in Math)

The Department of Mathematics & Computing Science is seeking to staff the following course and recitation for the Fall Semester, 2022:

 

MATH 1202.1 MW 5:30pm – 6:45pm ON CAMPUS

MATH 1202.1R W 7:00pm – 8:15pm ON CAMPUS

 

The course and recitation are offered as a unit. The successful applicant will be required to maintain reasonable contact with students and to grade all major assessments such as midterm and final examinations.

The stipend* for MATH 1202.1 is $4852.00 – $6137.50 (depending on experience at Saint Mary’s). 

The stipend* for the corresponding recitation is $2426.00 – $3068.75 (depending on experience at Saint Mary’s).

The Department requires the following qualification and experience:

Minimum Master’s Degree in Mathematics or Mathematics Education

Successful experience teaching a similar course at the University Level

Applications are invited in the first instance from part-time faculty colleagues who are on the Precedence List.

Send your application to:  ptpositionsmath@cs.smu.ca 

If you have never taught at Saint Mary’s,

Send:

-An up-to-date Curriculum Vitae

-University transcripts and Proof of Degrees

(e.g., photocopies of certificates)

AND

Have sent:

-Two (2) letters of reference.

*The stipend is subject to the current negotiations between CUPE and Saint Mary’s University

Applications should be received no later than July 24, 2022



 

CUPE 3912 Job Posting for Part-Time Instructor

 

Course: MCDA 5510

Software Development in Business Environment

Department: M.Sc. in Computing and Data Analytics, Faculty of Science

Semester: September-December 2022

Schedule: Lectures Thursday 5:30pm – 8:45pm (tentative)

 

Academic Calendar Description:

Students study the complete software development process in a business environment, including the system analysis, design, implementation, and testing of software systems. Students will work in teams to develop software systems for business applications using real world methodologies. 

 

Qualifications:

  • Minimum Master’s Degree
  • Successful experience teaching Computing Science at the University level
  • At least 10 years of software development experience using Java/J2EE, C#/.Net and Web and Mobile based Software Development
  • Complete familiarity with the latest object-oriented software development methodology
  • Experience working within an Industry context 

 

Duties:

Duties include course/lecture preparation/delivery; in-class teaching; preparation and evaluation of all student assessments.  The successful candidate will be required to hold office hours and collaborate with M.Sc. CDA faculty and industry professors. 

 

Remuneration: 

Remuneration is in accordance with the Collective Agreement between Saint Mary’s University and CUPE 3912

 

How to Apply: 

Applications are invited in the first instance from part-time faculty colleagues on the Saint Mary’s precedence list. Applicants who currently hold a part-time teaching appointment at Saint Mary’s University should submit a cover letter and a C.V. Applicants who do not currently hold a part-time teaching appointment at Saint Mary’s University should submit a complete application (including a cover letter, CV, proof of academic credentials, name and contact information of three referees, and any evidence of teaching effectiveness).

 

Submissions are made as a single PDF file sent directly via email to: msc.cda@smu.ca 

 

Application deadline: July 28, 2022

 

Saint Mary’s University hires on the basis of merit and is committed to the principles of employment equity. Saint Mary’s University encourages applications from qualified women, visible minorities, Aboriginal people, and people with disabilities. Preference will be given to Canadian citizens and permanent residents of Canada.
MSVU

————————————————-
Department/Faculty: Mathematics
Course Name: Survey Design
Course Code: MATH 2284 01
Academic Term: Winter
Class Timetable: TTH 9:00AM -10:15 AM On-campus
Course Unit Value: 0.5
—————————————————
Start Date: 1/9/2023
End Date: 4/22/2023
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
coursework in advanced Statistics at the graduate level. Recent experience
teaching Statistics to non-majors is required. In addition, applicants
must also have at least 0.5 units of coursework in survey design or
experience with actual survey design.

Please note that in the event that it is required that this on campus
course be moved online candidates must have experience and be prepared to
teach using the Blackboard/Collaborate virtual classroom. Candidates must
be willing to participate in additional training in the optimum range of
teaching operations in the Moodle LMS and in the Collaborate virtual
classroom, if necessary, to reach the required level of competency before
the course begins. Candidates must also be sensitive to the needs of
distant, mature and part-time learners. Synchronous and asynchronous
discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
The candidate will assist with writing and proctoring exams.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.ca

Application deadline: 7/19/2022
—————————————————

 

———————————————–
Department/Faculty: Mathematics
Course Name: Nonparametric Statistics
Course Code: MATH 2283 01
Academic Term: Fall
Class Timetable: TTH 9:00AM -10:15 AM On-campusCourse
Unit Value: 0.5
—————————————————
Start Date: 9/7/2022
End Date: 12/19/2022
—————————————————
Qualifications:
PhD in Statistics, or a Masters degree in Statistics. Recent experience
teaching Statistics to non-majors is required.

Please note that in the event that it is required that this on campus
course be moved online candidates must have experience and be prepared to
teach using the Blackboard/Collaborate virtual classroom. Candidates must
be willing to participate in additional training in the optimum range of
teaching operations in the Moodle LMS and in the Collaborate virtual
classroom, if necessary, to reach the required level of competency before
the course begins. Candidates must also be sensitive to the needs of
distant, mature and part-time learners. Synchronous and asynchronous
discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
The candidate will assist with writing and proctoring exams.

Due to distance, the mailing of materials may extend beyond the
traditional time frames.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.ca

Application deadline: 7/5/2022
—————————————————

 

————————————————-
Department/Faculty: Mathematics
Course Name: LAB: Intro to Statistics II
Course Code: MATH 209L LJ
Academic Term: Winter
Class Timetable: TH 3:00PM – 4:15PM On-campus

Course Unit Value: 0.125
—————————————————
Start Date: 1/9/2023
End Date: 4/22/2023
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics.In addition, experience teaching similar introductory statistics labs to
non-science majors and experience with the use of MINITAB for data
analysis is required.Please note that in the event that it is required that this on campus
course be moved online candidates must have experience and be prepared to
teach using the Blackboard/Collaborate virtual classroom. Candidates must
be willing to participate in additional training in the optimum range of
teaching operations in the Moodle LMS and in the Collaborate virtual
classroom, if necessary, to reach the required level of competency before
the course begins. Candidates must also be sensitive to the needs of
distant, mature and part-time learners. Synchronous and asynchronous
discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Statistics Laboratory Instructor. The
lab instructor is required to follow the course syllabus and guidelines
for lab assignments and grading.Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.caApplication deadline: 7/19/2022
—————————————————

 

————————————————
Department/Faculty: Mathematics
Course Name: LAB: Intro to Statistics II
Course Code: MATH 209L LI
Academic Term: Winter
Class Timetable: TH 1:30PM – 2:45PM On-campus

Course Unit Value: 0.125
—————————————————
Start Date: 1/9/2023
End Date: 4/22/2023
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics.In addition, experience teaching similar introductory statistics labs to
non-science majors and experience with the use of MINITAB for data
analysis is required.Please note that in the event that it is required that this on campus
course be moved online candidates must have experience and be prepared to
teach using the Blackboard/Collaborate virtual classroom. Candidates must
be willing to participate in additional training in the optimum range of
teaching operations in the Moodle LMS and in the Collaborate virtual
classroom, if necessary, to reach the required level of competency before
the course begins. Candidates must also be sensitive to the needs of
distant, mature and part-time learners. Synchronous and asynchronous
discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Statistics Laboratory Instructor. The
lab instructor is required to follow the course syllabus and guidelines
for lab assignments and grading.Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.caApplication deadline: 7/19/2022
—————————————————

 

————————————————-
Department/Faculty: Mathematics
Course Name: LAB: Intro to Statistics II
Course Code: MATH 209L LH
Academic Term: Winter
Class Timetable: TH 12:00 PM – 1:15 PM On-campus
Course Unit Value: 0.125
—————————————————
Start Date: 1/9/2023
End Date: 4/22/2023
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics.

In addition, experience teaching similar introductory statistics labs to
non-science majors and experience with the use of MINITAB for data
analysis is required.

Please note that in the event that it is required that this on campus
course be moved online candidates must have experience and be prepared to
teach using the Blackboard/Collaborate virtual classroom. Candidates must 

be willing to participate in additional training in the optimum range of
teaching operations in the Moodle LMS and in the Collaborate virtual
classroom, if necessary, to reach the required level of competency before
the course begins. Candidates must also be sensitive to the needs of
distant, mature and part-time learners. Synchronous and asynchronous
discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Statistics Laboratory Instructor. The
lab instructor is required to follow the course syllabus and guidelines
for lab assignments and grading.

Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness.

—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.caApplication deadline: 7/19/2022
—————————————————

————————————————
Department/Faculty: Mathematics
Course Name: LAB: Intro to Statistics II
Course Code: MATH 209D DJ
Academic Term: Winter
Class Timetable: TH 9:30PM – 10:45PM Synchronous Online

Course Unit Value: 0.125
—————————————————
Start Date: 1/9/2023
End Date: 4/22/2023
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics.In addition, experience teaching similar introductory statistics labs to
non-science majors and experience with the use of MINITAB for data
analysis is required.Candidates must also have experience using the Blackboard/Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
Synchronous and asynchronous discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Statistics Laboratory Instructor. The
lab instructor is required to follow the course syllabus and guidelines
for lab assignments and grading.Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness.Due to distance, the mailing of materials may extend beyond the
traditional time frames.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.caApplication deadline: 7/19/2022
—————————————————

———————————————–
Department/Faculty: Mathematics
Course Name: LAB: Intro to Statistics II
Course Code: MATH 209D DI
Academic Term: Winter
Class Timetable: TH 8:00PM – 9:15PM Synchronous Online

Course Unit Value: 0.125
—————————————————
Start Date: 1/9/2023
End Date: 4/22/2023
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics.In addition, experience teaching similar introductory statistics labs to
non-science majors and experience with the use of MINITAB for data
analysis is required.Candidates must also have experience using the Blackboard/Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
Synchronous and asynchronous discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Statistics Laboratory Instructor. The
lab instructor is required to follow the course syllabus and guidelines
for lab assignments and grading.Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness.Due to distance, the mailing of materials may extend beyond the
traditional time frames.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.caApplication deadline: 7/19/2022
—————————————————

————————————————–
Department/Faculty: Mathematics
Course Name: LAB: Intro to Statistics II
Course Code: MATH 209D DH
Academic Term: Winter
Class Timetable: TH 6:30PM – 7:45PM Synchronous OnlineCourse 

Unit Value: 0.125
—————————————————
Start Date: 1/9/2023
End Date: 4/22/2023
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics.In addition, experience teaching similar introductory statistics labs to
non-science majors and experience with the use of MINITAB for data
analysis is required.Candidates must also have experience using the Blackboard/Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
Synchronous and asynchronous discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Statistics Laboratory Instructor. The
lab instructor is required to follow the course syllabus and guidelines
for lab assignments and grading.Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness.Due to distance, the mailing of materials may extend beyond the
traditional time frames.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.caApplication deadline: 7/19/2022
—————————————————

 

———————————————–
Department/Faculty: Mathematics
Course Name: LAB: Intro to Statistics II
Course Code: MATH 209D DG
Academic Term: Winter
Class Timetable: W 9:30PM – 10:45PM Synchronous Online

Course Unit Value: 0.125
—————————————————
Start Date: 1/9/2023
End Date: 4/22/2023
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics.In addition, experience teaching similar introductory statistics labs to
non-science majors and experience with the use of MINITAB for data
analysis is required.Candidates must also have experience using the Blackboard/Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
Synchronous and asynchronous discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Statistics Laboratory Instructor. The
lab instructor is required to follow the course syllabus and guidelines
for lab assignments and grading.Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness.Due to distance, the mailing of materials may extend beyond the
traditional time frames.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.caApplication deadline: 7/19/2022
—————————————————

 

————————————————-
Department/Faculty: Mathematics
Course Name: LAB: Intro to Statistics II
Course Code: MATH 209D DF
Academic Term: Winter
Class Timetable: W 8:00 PM – 9:15 PM Synchronous OnlineCourse 

Unit Value: 0.125
—————————————————
Start Date: 1/9/2023
End Date: 4/22/2023
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics.In addition, experience teaching similar introductory statistics labs to
non-science majors and experience with the use of MINITAB for data
analysis is required.Candidates must also have experience using the Blackboard/Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
Synchronous and asynchronous discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Statistics Laboratory Instructor. The
lab instructor is required to follow the course syllabus and guidelines
for lab assignments and grading.Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness.Due to distance, the mailing of materials may extend beyond the
traditional time frames.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.caApplication deadline: 7/19/2022
—————————————————

 

———————————————-
Department/Faculty: Mathematics
Course Name: LAB: Intro to Statistics II
Course Code: MATH 209D DE
Academic Term: Winter
Class Timetable: W 6:30 PM – 7:45 PM Synchronous Online
Course Unit Value: 0.125
—————————————————
Start Date: 1/9/2023
End Date: 4/22/2023

—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics.In addition, experience teaching similar introductory statistics labs to
non-science majors and experience with the use of MINITAB for data
analysis is required.Candidates must also have experience using the Blackboard/Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
Synchronous and asynchronous discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Statistics Laboratory Instructor. The
lab instructor is required to follow the course syllabus and guidelines
for lab assignments and grading.Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness.Due to distance, the mailing of materials may extend beyond the
traditional time frames.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.ca

Application deadline: 7/19/2022
—————————————————

 

————————————————-
Department/Faculty: Mathematics
Course Name: LAB: Intro to Statistics II
Course Code: MATH 209D DB
Academic Term: Fall
Class Timetable: TH 9:30PM – 10:45PM Synchronous OnlineCourse

Unit Value: 0.125
—————————————————
Start Date: 9/7/2022
End Date: 12/19/2022
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics.In addition, experience teaching similar introductory statistics labs to
non-science majors and experience with the use of MINITAB for data
analysis is required.Candidates must also have experience using the Blackboard/Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
Synchronous and asynchronous discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Statistics Laboratory Instructor. The
lab instructor is required to follow the course syllabus and guidelines
for lab assignments and grading.Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness.Due to distance, the mailing of materials may extend beyond the
traditional time frames.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.caApplication deadline: 7/5/2022
—————————————————

 

————————————————-
Department/Faculty: Mathematics
Course Name: LAB: Intro to Statistics II
Course Code: MATH 209D DA
Academic Term: Fall
Class Timetable: TH 8:00PM – 9:15PM Synchronous Online
Course Unit Value: 0.125
—————————————————
Start Date: 9/7/2022
End Date: 12/19/2022
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics.

In addition, experience teaching similar introductory statistics labs to
non-science majors and experience with the use of MINITAB for data
analysis is required.

Candidates must also have experience using the Blackboard/Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
Synchronous and asynchronous discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Statistics Laboratory Instructor. The
lab instructor is required to follow the course syllabus and guidelines
for lab assignments and grading.

Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness.

Due to distance, the mailing of materials may extend beyond the
traditional time frames.

—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.caApplication deadline: 7/5/2022
—————————————————

 

————————————————-
Department/Faculty: Mathematics
Course Name: LAB: Intro to Statistics I
Course Code: MATH 208L LH
Academic Term: Fall
Class Timetable: TH 3:00PM – 4:15PM On-campus

Course Unit Value: 0.125
—————————————————
Start Date: 9/7/2022
End Date: 12/19/2022
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics.In addition, experience teaching similar introductory statistics labs to
non-science majors and experience with the use of MINITAB for data
analysis is required.Please note that in the event that it is required that this on campus
course be moved online candidates must have experience and be prepared to
teach using the Blackboard/Collaborate virtual classroom. Candidates must
be willing to participate in additional training in the optimum range of
teaching operations in the Moodle LMS and in the Collaborate virtual
classroom, if necessary, to reach the required level of competency before
the course begins. Candidates must also be sensitive to the needs of
distant, mature and part-time learners. Synchronous and asynchronous
discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Statistics Laboratory Instructor. The
lab instructor is required to follow the course syllabus and guidelines
for lab assignments and grading.Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.caApplication deadline: 7/5/2022
—————————————————

 

————————————————
Department/Faculty: Mathematics
Course Name: LAB: Intro to Statistics I
Course Code: MATH 208L LG
Academic Term: Fall
Class Timetable: TH 1:30PM – 2:45PM On-campus
Course Unit Value: 0.125
—————————————————
Start Date: 9/7/2022
End Date: 12/19/2022
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics.

In addition, experience teaching similar introductory statistics labs to
non-science majors and experience with the use of MINITAB for data
analysis is required.

Please note that in the event that it is required that this on campus
course be moved online candidates must have experience and be prepared to
teach using the Blackboard/Collaborate virtual classroom. Candidates must
be willing to participate in additional training in the optimum range of
teaching operations in the Moodle LMS and in the Collaborate virtual
classroom, if necessary, to reach the required level of competency before
the course begins. Candidates must also be sensitive to the needs of
distant, mature and part-time learners. Synchronous and asynchronous
discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Statistics Laboratory Instructor. The
lab instructor is required to follow the course syllabus and guidelines
for lab assignments and grading.

Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.ca

Application deadline: 7/5/2022
—————————————————

————————————————–
Department/Faculty: Mathematics
Course Name: LAB: Intro to Statistics I
Course Code: MATH 208D DO
Academic Term: Winter
Class Timetable: TH 9:30PM – 10:45PM Synchronous OnlineCourse

Unit Value: 0.125
—————————————————
Start Date: 1/9/2023
End Date: 4/22/2023
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics.In addition, experience teaching similar introductory statistics labs to
non-science majors and experience with the use of MINITAB for data
analysis is required.Candidates must also have experience using the Blackboard/Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
Synchronous and asynchronous discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Statistics Laboratory Instructor. The
lab instructor is required to follow the course syllabus and guidelines
for lab assignments and grading.Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness.Due to distance, the mailing of materials may extend beyond the
traditional time frames.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.caApplication deadline: 7/19/2022
—————————————————

 

————————————————-
Department/Faculty: Mathematics
Course Name: LAB: Intro to Statistics I
Course Code: MATH 208D DN
Academic Term: Winter
Class Timetable: TH 8:00PM – 9:15PM Synchronous Online

Course Unit Value: 0.125
—————————————————
Start Date: 1/9/2023
End Date: 4/22/2023
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics.In addition, experience teaching similar introductory statistics labs to
non-science majors and experience with the use of MINITAB for data
analysis is required.Candidates must also have experience using the Blackboard/Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
Synchronous and asynchronous discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Statistics Laboratory Instructor. The
lab instructor is required to follow the course syllabus and guidelines
for lab assignments and grading.Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness.Due to distance, the mailing of materials may extend beyond the
traditional time frames.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.caApplication deadline: 7/19/2022
—————————————————

 

———————————————–
Department/Faculty: Mathematics
Course Name: LAB: Intro to Statistics I
Course Code: MATH 208D DM
Academic Term: Winter
Class Timetable: W 8:00PM – 9:15PM Synchronous Online

Course Unit Value: 0.125
—————————————————
Start Date: 1/9/2023
End Date: 4/22/2023
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics.In addition, experience teaching similar introductory statistics labs to
non-science majors and experience with the use of MINITAB for data
analysis is required.Candidates must also have experience using the Blackboard/Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
Synchronous and asynchronous discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Statistics Laboratory Instructor. The
lab instructor is required to follow the course syllabus and guidelines
for lab assignments and grading.Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness.Due to distance, the mailing of materials may extend beyond the
traditional time frames.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.caApplication deadline: 7/19/2022
—————————————————

 

————————————————
Department/Faculty: Mathematics
Course Name: LAB: Intro to Statistics I
Course Code: MATH 208D DL
Academic Term: Winter
Class Timetable: W 06:30PM – 07:45PM Synchronous OnlineCourse
Unit Value: 0.125
—————————————————
Start Date: 1/9/2023
End Date: 4/22/2023

—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics.In addition, experience teaching similar introductory statistics labs to
non-science majors and experience with the use of MINITAB for data
analysis is required.Candidates must also have experience using the Blackboard/Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
Synchronous and asynchronous discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Statistics Laboratory Instructor. The
lab instructor is required to follow the course syllabus and guidelines
for lab assignments and grading.Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness.Due to distance, the mailing of materials may extend beyond the
traditional time frames.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.ca

Application deadline: 7/19/2022
—————————————————

————————————————-
Department/Faculty: Mathematics
Course Name: LAB: Intro to Statistics I
Course Code: MATH 208D DE
Academic Term: Fall
Class Timetable: TH 8:00PM – 9:15PM Synchronous Online

Course Unit Value: 0.125
—————————————————
Start Date: 9/7/2022
End Date: 12/19/2022
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics.In addition, experience teaching similar introductory statistics labs to
non-science majors and experience with the use of MINITAB for data
analysis is required.Candidates must also have experience using the Blackboard/Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
Synchronous and asynchronous discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Statistics Laboratory Instructor. The
lab instructor is required to follow the course syllabus and guidelines
for lab assignments and grading.Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness.Due to distance, the mailing of materials may extend beyond the
traditional time frames.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.caApplication deadline: 7/5/2022
—————————————————

 

————————————————
Department/Faculty: Mathematics
Course Name: LAB: Intro to Statistics I
Course Code: MATH 208D DD
Academic Term: Fall
Class Timetable: TH 6:30PM – 7:45PM Synchronous Online

Course Unit Value: 0.125
—————————————————
Start Date: 9/7/2022
End Date: 12/19/2022
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics.In addition, experience teaching similar introductory statistics labs to
non-science majors and experience with the use of MINITAB for data
analysis is required.Candidates must also have experience using the Blackboard/Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
Synchronous and asynchronous discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Statistics Laboratory Instructor. The
lab instructor is required to follow the course syllabus and guidelines
for lab assignments and grading.Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness.Due to distance, the mailing of materials may extend beyond the
traditional time frames.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.caApplication deadline: 7/5/2022
—————————————————

 

————————————————
Department/Faculty: Mathematics
Course Name: LAB: Intro to Statistics I
Course Code: MATH 208D DB
Academic Term: Fall
Class Timetable: W 8:00PM – 9:15PM Synchronous Online

Course Unit Value: 0.125
—————————————————
Start Date: 9/7/2022
End Date: 12/19/2022
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics.In addition, experience teaching similar introductory statistics labs to
non-science majors and experience with the use of MINITAB for data
analysis is required.Candidates must also have experience using the Blackboard/Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
Synchronous and asynchronous discussions occur during the week on-line.—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Statistics Laboratory Instructor. The
lab instructor is required to follow the course syllabus and guidelines
for lab assignments and grading.Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness.Due to distance, the mailing of materials may extend beyond the
traditional time frames.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.caApplication deadline: 7/5/2022
—————————————————

 

————————————————
Department/Faculty: Mathematics
Course Name: LAB: Intro to Statistics I
Course Code: MATH 208D DA
Academic Term: Fall
Class Timetable: W 6:30PM – 7:45PM Synchronous OnlineCourse
Unit Value: 0.125
—————————————————
Start Date: 9/7/2022
End Date: 12/19/2022
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics.

In addition, experience teaching similar introductory statistics labs to
non-science majors and experience with the use of MINITAB for data
analysis is required.

Candidates must also have experience using the Blackboard/Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
Synchronous and asynchronous discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Statistics Laboratory Instructor. The
lab instructor is required to follow the course syllabus and guidelines
for lab assignments and grading.

Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness.

Due to distance, the mailing of materials may extend beyond the
traditional time frames.

—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.caApplication deadline: 7/5/2022
—————————————————

 

————————————————–
Department/Faculty: Mathematics
Course Name: Stats and Math Prep, Intro to Stats I & Intro to Stats I-LAB
Course Code: MATH 0027 MNFC, MATH 2208 MNFC & MATH 208L MNFC
Academic Term: Fall/Winter
Class Timetable: TTH 2:00-3:15 PM and T 3:30-4:30 (Winter)
Course Unit Value: 1.125
—————————————————
Start Date: 9/7/2022
End Date: 4/22/2023
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Mathematics or Statistics.

In addition, experience teaching a similar course to prepare non-science
majors who will be taking further Mathematics and/or Statistics courses is
required. Candidates must also have at least one unit of advanced
coursework in Statistics and experience teaching a similar introductory
statistics course to non-science majors. Experience with using MINITAB for
data analysis is required.

Candidates must also be sensitive to the needs of mature, indigenous and
part-time learners. Prior experience working with the indigenous community
is an asset.

Please note that in the event that it is required that this in-person
course be moved online candidates must have experience and be prepared to
teach using the Blackboard/Collaborate virtual classroom. Candidates must
be willing to participate in additional training in the optimum range of
teaching operations in the Moodle LMS and in the Collaborate virtual
classroom, if necessary, to reach the required level of competency before
the course begins. Synchronous and asynchronous discussions occur during
the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
MATH 2208 is a coordinated course with a laboratory component.
In this situation the preparatory course (MATH 0027), the course MATH 2208
and its accompanying lab will be taught by the same person off campus at
the Friendship Centre in Halifax.  Applicants must be willing to travel to
the Friendship Centre for the course delivery and to provide additional
help outside of lecture hours at this same location in lieu of usual
office hours on campus.

Instructors are required to follow the course syllabus and guidelines for
assignments, midterm and final exams, and grades.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.ca

Application deadline: 7/5/2022
—————————————————
SMU

PART-TIME POSITIONS

SUMMER TERM 2022

MATH 2303.1 & RECITATION A

(Differential Equations I)

 

The Department of Mathematics & Computing Science is seeking to staff the following course and recitation for the Summer Semester, 2022:

 

MATH 2303.1 TR 5:30pm – 7:59pm ON CAMPUS

MATH 2303.1RA TR 8:00pm – 9:15pm ON CAMPUS

                            

The course and recitation are offered as a unit. The successful applicant will be required to maintain reasonable contact with students and to grade all major assessments such as midterm and final examinations.

 

The stipend* for MATH 2303.1 is $4852.00 – $6137.50 (depending on experience at Saint Mary’s). The stipend* for the corresponding recitation is $2426.00 – $3068.75 (depending on experience at Saint Mary’s).

 

The Department requires the following qualification and experience:

PhD in Mathematics required. 

Successful experience teaching similar course at the University level.

Applications are invited in the first instance from part-time faculty colleagues who are on the Precedence List.


Send your application to:  ptpositionsmath@cs.smu.ca 

If you have never taught at Saint Mary’s,

Send:

-An up-to-date Curriculum Vitae

-University transcripts and Proof of Degrees

(e.g., photocopies of certificates)

AND

Have sent:

-Two (2) letters of reference.

*The stipend is subject to the current negotiations between CUPE and Saint Mary’s University

Applications should be received no later than April 29, 2022

PART-TIME POSITIONS

SUMMER TERM 2022

MATH 1211.1 and RECITATION A

(Introductory Calculus II)

 

The Department of Mathematics & Computing Science is seeking to staff the following course and recitation for the Summer Semester, 2022:

 

MATH 1211.1 TR 5:30pm – 7:59pm ON CAMPUS

MATH 1211.1RA TR 8:00pm – 9:15pm ON CAMPUS

 

The course and recitation are offered as a unit. The successful applicant will be required to maintain reasonable contact with students and to grade all major assessments such as midterm and final examinations.

 

The stipend* for MATH 1211.1 is $4852.00 – $6137.50 (depending on experience at Saint Mary’s). 

The stipend* for the corresponding recitation is $2426.00 – $3068.75 (depending on experience at Saint Mary’s).

 

The Department requires the following qualification and experience:

 

Minimum Master’s Degree in Mathematics or Mathematics Education

Successful experience teaching Calculus at the University Level

 

Applications are invited in the first instance from part-time faculty colleagues who are on the Precedence List.

 

Send your application to:  ptpositionsmath@cs.smu.ca 

If you have never taught at Saint Mary’s,

Send:

-An up-to-date Curriculum Vitae

-University transcripts and Proof of Degrees

(e.g., photocopies of certificates)

AND

Have sent:

-Two (2) letters of reference.

*The stipend is subject to the current negotiations between CUPE and Saint Mary’s University

Applications should be received no later than April 29, 2022

PART-TIME POSITIONS

SUMMER TERM 2022

MATH 1210.1 and RECITATION

(Introductory Calculus I)

 

The Department of Mathematics & Computing Science is seeking to staff the following course and recitation for the Summer Semester, 2022:

 

MATH 1210.1 TR 5:30pm – 7:59pm REMOTE

MATH 1210.1R TR 8:00pm – 9:15pm REMOTE

 

The course and recitation are offered as a unit. All instruction will be delivered remotely (online), and applicants are expected to have access to sufficient technological resources – including internet connectivity and a webcam or similar equipment – to make this feasible.  The successful candidate(s) will be required to hold office hours and grade major assessments such as midterms and final examinations. 

The stipend* for MATH 1210.1 is $4852.00 – $6137.50 (depending on experience at Saint Mary’s). 

The stipend* for the corresponding recitation is $2426.00 – $3068.75 (depending on experience at Saint Mary’s).

 

The Department requires the following qualification and experience:

Minimum Master’s Degree in Mathematics or Mathematics Education

Successful experience teaching Calculus at the University Level

Applications are invited in the first instance from part-time faculty colleagues who are on the Precedence List.

Send your application to:  ptpositionsmath@cs.smu.ca 

If you have never taught at Saint Mary’s,

Send:

-An up-to-date Curriculum Vitae

-University transcripts and Proof of Degrees

(e.g., photocopies of certificates)

AND

Have sent:

-Two (2) letters of reference.

*The stipend is subject to the current negotiations between CUPE and Saint Mary’s University

Applications should be received no later than April 29, 2022



 

PART-TIME POSITIONS

SPRING TERM 2022

MATH 1251.1 and RECITATION

(Calculus for Life Sciences II)

The Department of Mathematics & Computing Science is seeking to staff the following course and recitation for the Spring Semester, 2022:

 

MATH 1251.1 TR 5:30pm – 7:59pm REMOTE

MATH 1251.1R TR 8:00pm – 9:15pm REMOTE

The course and recitation are offered as a unit: preference will be given to instructors willing to teach the recitation as well. All instruction will be delivered remotely (online), and applicants are expected to have access to sufficient technological resources – including internet connectivity and a webcam or similar equipment – to make this feasible.  The successful candidate(s) will be required to hold office hours and grade major assessments such as midterms and final examinations. 

The stipend* for MATH 1251.1 is $4852.00 – $6137.50 (depending on experience at Saint Mary’s). 

The stipend* for the corresponding recitation is $2426.00 – $3068.75 (depending on experience at Saint Mary’s).

The Department requires the following qualification and experience:

Minimum Master’s Degree in Mathematics or Mathematics Education

Successful experience teaching Calculus at the University Level

Applications are invited in the first instance from part-time faculty colleagues who are on the Precedence List.

Send your application to:  ptpositionsmath@cs.smu.ca 

If you have never taught at Saint Mary’s,

Send:

-An up-to-date Curriculum Vitae

-University transcripts and Proof of Degrees

(e.g., photocopies of certificates)

AND

Have sent:

-Two (2) letters of reference.

*The stipend is subject to the current negotiations between CUPE and Saint Mary’s University

Applications should be received no later than March 28, 2022

 
DAL

Position Title Part-Time Academic (MATH 1000.03 – SUMMER (A) Term 2022)
Posting Number PTAP1235P
Department/Unit Mathematics & Statistics
Location Halifax
Job Summary & Key Responsibilities

The Part-Time Academic will be responsible for the delivery of Differential & Integral Calculus I (MATH1000.03) in SUMMER (A) term. The contract dates for teaching/delivery are from May 1 to August 31.

The topics to be covered in the course are available from the Department Chair. Course descriptions are provided in the Undergraduate Calendar published online ( https://academiccalendar.dal.ca ) by the Registrar’s Office, Dalhousie University.

Please see the academic timetable ( www.dal.ca/timetable ) for the days & times of this course. Please note this course is being delivered online.
Qualifications/Requirements of Position

A combination of M.Sc. degree in Mathematics or Statistics and previous teaching experience is required. Completion of a PhD or PhD in progress is considered an asset. Experience with course delivery in an online environment is also an asset. The successful applicant must have demonstrated knowledge of the subject matter.

Please provide teaching evaluations if available.
Salary Range/Pay Rate Per CUPE Collective Agreement – Local 3912
Additional Information
All offers of employment as a Part-Time Academic are conditional upon sufficient student enrolment in the course and approval by the University. Dalhousie University is committed to fostering a collegial culture grounded in diversity and inclusiveness. The university encourages applications from Aboriginal people, persons with a disability, racially visible persons, women, persons of minority sexual orientations and gender identities, and all candidates who would contribute to the diversity of our community.

Posting Detail Information

Term of appointment May 1, 2022 to August 31, 2022
Open Date 03/14/2022
Close Date 03/24/2022
Open Until Filled
Quick Link for Direct Access to Posting http://dal.peopleadmin.ca/postings/9283

Documents Needed to Apply

Required Documents

  1. Cover Letter
  2. Résumé / Curriculum Vitae (CV)
  3. List of referees

Optional Documents

  1. Teaching Dossier
SMU

PART-TIME POSITIONS

SUMMER TERM 2022

CSCI 2356.1 & REC

(Mobile App Development)

The Department of Mathematics & Computing Science is seeking to staff the following course and recitation for the Summer Semester, 2022: July 4 – Aug. 20.

 

CSCI 2356.1 MW 9:30am – 12:29pm – On Campus

CSCI 2356.1R MW 1:30pm – 2:45pm – On Campus

 

The course and recitation are offered as a unit: preference will be given to instructors willing to teach the recitation as well. The successful candidate(s) will be required to hold office hours and grade major assessments such as midterms and final examinations.

The stipend* for CSCI 2356.1 is $4852.00 – $6137.50 (depending on experience at Saint Mary’s). The stipend* for the CSCI 2356.1 recitation is $2426.00 – $3068.75 (depending on experience at Saint Mary’s).

The Department requires the following qualification and experience:

Minimum Master’s Degree in Computing Science.

Successful experience teaching Computing Science at the 

University level, and in the Mobile App Development area.

Applications are invited in the first instance from part-time faculty colleagues who are on the Precedence List.


Send your application to:  ptpositionsCS@cs.smu.ca

If you have never taught at Saint Mary’s,

Send:

-An up-to-date Curriculum Vitae

-University Transcripts and Proof of Degrees

(e.g., photocopies of certificates)

AND

Have sent:

-Two (2) letters of reference.

*The stipend is subject to the current collective agreement between CUPE and Saint Mary’s University

Applications should be received no later than March 21, 2022

PART-TIME POSITIONS

SUMMER TERM 2022

CSCI 2341.1 & REC

(Data Structures & Algorithms I)

The Department of Mathematics & Computing Science is seeking to staff the following course and recitation for the Summer Semester, 2022: July 4 – Aug. 20.

 

CSCI 2341.1 TR 09:30am – 12:29pm – REMOTE

CSCI 2341.1R TR 01:30pm – 02:45pm – REMOTE

 

The course and recitation are offered as a unit: preference will be given to instructors willing to teach the recitation as well. All instruction will be delivered remotely (online), and applicants are expected to have access to sufficient technological resources – including internet connectivity and a webcam or similar equipment – to make this feasible.  The successful candidate(s) will be required to hold office hours and grade major assessments such as midterms and final examinations. 

The stipend* for the CSCI 2341.1 lecture is $4852.00 – $6137.50 (depending on experience at Saint Mary’s). The stipend* for the CSC I2341.1R recitation is $2426.00 – $3068.75 (depending on experience at Saint Mary’s).

The Department requires the following qualification and experience:

Minimum Master’s Degree in Computing Science

Successful experience teaching Data Structures & Algorithms at the University level.

Applications are invited in the first instance from part-time faculty colleagues who are on the Precedence List.

Send your application to:  ptpositionsCS@cs.smu.ca

If you have never taught at Saint Mary’s,

Send:

-An up-to-date Curriculum Vitae

-University Transcripts and Proof of Degrees

(e.g., photocopies of certificates)

AND

Have sent:

-Two (2) letters of reference.

*The stipend is subject to the current collective agreement between CUPE and Saint Mary’s University

Applications should be received no later than March 21, 2022

PART-TIME POSITIONS

SUMMER TERM 2022

CSCI 1228.1 & LAB

(Advanced Computer Programming & Problem Solving)

The Department of Mathematics & Computing Science is seeking to staff the following course and lab for the Summer Semester, 2022: July 4 – Aug. 20.

 

CSCI 1228.1 TR 09:30am – 12:29pm – REMOTE

CSCI 1228.1L TR 01:30pm – 04:29pm – REMOTE

 

The course and lab are offered as a unit: preference will be given to instructors willing to teach the lab as well. All instruction will be delivered remotely (online), and applicants are expected to have access to sufficient technological resources – including internet connectivity and a webcam or similar equipment – to make this feasible.  The successful candidate(s) will be required to hold office hours and grade major assessments such as midterms and final examinations. 

The stipend* for the CSCI 1228.1 lecture is $4852.00 – $6137.50 (depending on experience at Saint Mary’s). The stipend* for the CSCI 1228.1L lab is $2426.00 – $3068.75 (depending on experience at Saint Mary’s).

The Department requires the following qualification and experience:

Minimum Master’s Degree in Computing Science.

Successful experience teaching Introductory Computing Science at the University level in Java.

Applications are invited in the first instance from part-time faculty colleagues who are on the Precedence List.

Send your application to:  ptpositionsCS@cs.smu.ca

If you have never taught at Saint Mary’s,

Send:

-An up-to-date Curriculum Vitae

-University Transcripts and Proof of Degrees

(e.g., photocopies of certificates)

AND

Have sent:

-Two (2) letters of reference.

*The stipend is subject to the current collective agreement between CUPE and Saint Mary’s University

Applications should be received no later than March 21, 2022

PART-TIME POSITIONS

SPRING TERM 2022

CSCI 2327.1 & REC

(Digital Logic & Computer Architecture)

The Department of Mathematics & Computing Science is seeking to staff the following course and recitation for the Spring Semester, 2022: May 09 – June 25.

 

CSCI 2327.1 TR 9:30am – 12:29pm –        REMOTE

CSCI 2327.1R TR 1:30pm – 2:45pm –        REMOTE

 

The course and recitation are offered as a unit: preference will be given to instructors willing to teach the recitation as well. All instruction will be delivered remotely (online), and applicants are expected to have access to sufficient technological resources – including internet connectivity and a webcam or similar equipment – to make this feasible.  The successful candidate(s) will be required to hold office hours and grade major assessments such as midterms and final examinations. 

The stipend* for the CSCI 2327.1 lecture is $4852.00 – $6137.50 (depending on experience at Saint Mary’s). The stipend* for the CSCI 2327.1 recitation is $2426.00 – $3068.75 (depending on experience at Saint Mary’s).

The Department requires the following qualification and experience:

Minimum Master’s Degree in Computing Science.

Successful experience teaching Digital Logic and Computer Architecture at the University level.

Applications are invited in the first instance from part-time faculty colleagues who are on the Precedence List.

Send your application to:  ptpositionsCS@cs.smu.ca

If you have never taught at Saint Mary’s,

Send:

-An up-to-date Curriculum Vitae

-University Transcripts and Proof of Degrees

(e.g., photocopies of certificates)

AND

Have sent:

-Two (2) letters of reference.

*The stipend is subject to the current collective agreement between CUPE and Saint Mary’s University

Applications should be received no later than March 21, 2022

PART-TIME POSITIONS

SPRING TERM 2022

CSCI 1227.1 & LAB

(Computer Programming & Problem Solving)

The Department of Mathematics & Computing Science is seeking to staff the following course and lab for the Spring Semester, 2022:  May 09 – June 25.

CSCI 1227.1 MW 9:30am – 12:29pm – On Campus

CSCI 1227.1L MW 1:30pm – 4:30pm – On Campus

The course and lab are offered as a unit: preference will be given to instructors willing to teach the lab as well. The successful candidate(s) will be required to hold office hours and grade major assessments such as midterms and final examinations. 

 

The stipend* for the CSCI 1227.1 lecture is $4852.00 – $6137.50 (depending on experience at Saint Mary’s). The stipend* for the CSCI 1227.1 lab is $2426.00 – $3068.75 (depending on experience at Saint Mary’s).

The Department requires the following qualification and experience:

Minimum Master’s Degree in Computing Science.

Successful experience teaching Introductory Computing Science at the University level in Python.

Applications are invited in the first instance from part-time faculty colleagues who are on the Precedence List.

Send your application to:  ptpositionsCS@cs.smu.ca

If you have never taught at Saint Mary’s,

Send:

-An up-to-date Curriculum Vitae

-University Transcripts and Proof of Degrees

(e.g., photocopies of certificates)

AND

Have sent:

-Two (2) letters of reference.

*The stipend is subject to the current collective agreement between CUPE and Saint Mary’s University

Applications should be received no later than March 21, 2022

PART-TIME POSITIONS

SPRING TERM 2022

CSCI 1226.1 & LAB

(Introduction to Computing Science & Programming)

 

The Department of Mathematics & Computing Science is seeking to staff the following course and lab for the Spring Semester, 2022: May 09 – June 25.

 

CSCI 1226.1 TR 09:30am – 12:29pm – On Campus

CSCI 1226.1L TR 01:30pm – 04:29pm –          On Campus

 

The course and lab are offered as a unit: preference will be given to instructors willing to teach the lab as well. The successful candidate(s) will be required to hold office hours and grade major assessments such as midterms and final examinations. 

The stipend* for the CSCI 1226.1 lecture is $4852.00 – $6137.50 (depending on experience at Saint Mary’s). The stipend* for the CSCI 1226.1 lab is $2426.00 – $3068.75 (depending on experience at Saint Mary’s).

 

The Department requires the following qualification and experience:

Minimum Master’s Degree in Computing Science.

Successful experience teaching Introductory Computing Science at the University level in Java.

Applications are invited in the first instance from part-time faculty colleagues who are on the Precedence List.

Send your application to:  ptpositionsCS@cs.smu.ca

If you have never taught at Saint Mary’s,

Send:

-An up-to-date Curriculum Vitae

-University Transcripts and Proof of Degrees

(e.g., photocopies of certificates)

AND

Have sent:

-Two (2) letters of reference.

*The stipend is subject to the current collective agreement between CUPE and Saint Mary’s University

Applications should be received no later than March 21, 2022

 

PART-TIME POSITIONS

SPRING TERM 2022

MATH 1190.1 and RECITATION (REMOTE)

(Fundamental Mathematics)

The Department of Mathematics & Computing Science is seeking to staff the following course and recitation for the Spring Semester, 2022:

 

MATH 1190.1 TR 5:30pm – 7:59pm REMOTE

MATH 1190.1R TR 8:00pm – 9:15pm REMOTE

 

 

The course and recitation are offered as a unit. All instruction will be delivered online and the applicant is expected to have access to sufficient technological resources (including internet connectivity) to make this feasible The successful applicant will be required to maintain reasonable contact with students and to grade all major assessments such as midterm and final examinations.

 

The stipend* for MATH 1190.1 is $4852.00 – $6137.50 (depending on experience at Saint Mary’s). 

The stipend* for the corresponding recitation is $2426.00 – $3068.75 (depending on experience at Saint Mary’s).

The Department requires the following qualification and experience:

Minimum Master’s Degree in Mathematics or Mathematics Education

Successful experience teaching a similar course at the University Level

Applications are invited in the first instance from part-time faculty colleagues who are on the Precedence List.
Send your application to:  ptpositionsmath@cs.smu.ca 

If you have never taught at Saint Mary’s,

Send:

-An up-to-date Curriculum Vitae

-University transcripts and Proof of Degrees

(e.g., photocopies of certificates)

AND

Have sent:

-Two (2) letters of reference.

*The stipend is subject to the current negotiations between CUPE and Saint Mary’s University

Applications should be received no later than March 14, 2022

 

PART-TIME POSITIONS

SPRING TERM 2022

RECITATIONS

The Department of Mathematics & Computing Science is seeking to staff the following RECITATIONS for the Spring Semester, 2022:

 

MATH 1210.1RB TR 8:00pm – 9:15pm ON CAMPUS

MATH 1211.1RB TR 8:00pm – 9:15pm ON CAMPUS

MATH 2301.1RB MW 8:00pm – 9:15pm ON CAMPUS

MATH 2311.1RB TR 8:00pm – 9:15pm ON CAMPUS

                            

The successful applicants will be required to maintain reasonable contact with students and to grade all major assessments such as midterm and final examinations.

 

The stipend* for each recitation is $2426.00 – $3068.75 (depending on experience at Saint Mary’s).

The Department requires the following qualification and experience:

Minimum Master’s Degree in Mathematics or Mathematics Education

Successful experience teaching similar course at the University level.

Applications are invited in the first instance from part-time faculty colleagues who are on the Precedence List.

Send your application to:  ptpositionsmath@cs.smu.ca 

If you have never taught at Saint Mary’s,

Send:

-An up-to-date Curriculum Vitae

-University transcripts and Proof of Degrees

(e.g., photocopies of certificates)

AND

Have sent:

-Two (2) letters of reference.

*The stipend is subject to the current negotiations between CUPE and Saint Mary’s University

Applications should be received no later than March 14, 2022

PART-TIME POSITIONS

SPRING TERM 2022

MATH 2311.1 & RECITATION A

(Intermediate Calculus)

The Department of Mathematics & Computing Science is seeking to staff the following course and recitation for the Spring Semester, 2022:

 

MATH 2311.1 TR 5:30pm – 7:59pm ON CAMPUS

MATH 2311.1RA TR 8:00pm – 9:15pm ON CAMPUS

                            

The course and recitation are offered as a unit. The successful applicant will be required to maintain reasonable contact with students and to grade all major assessments such as midterm and final examinations.

 

The stipend* for MATH 2311.1 is $4852.00 – $6137.50 (depending on experience at Saint Mary’s). The stipend* for the corresponding recitation is $2426.00 – $3068.75 (depending on experience at Saint Mary’s).

The Department requires the following qualification and experience:

PhD in Mathematics required. 

Successful experience teaching similar course at the University level.

Applications are invited in the first instance from part-time faculty colleagues who are on the Precedence List.

 

Send your application to:  ptpositionsmath@cs.smu.ca 

If you have never taught at Saint Mary’s,

Send:

-An up-to-date Curriculum Vitae

-University transcripts and Proof of Degrees

(e.g., photocopies of certificates)

AND

Have sent:

-Two (2) letters of reference.

*The stipend is subject to the current negotiations between CUPE and Saint Mary’s University

Applications should be received no later than March 14, 2022

 

PART-TIME POSITIONS

SPRING TERM 2022

MATH 2301.1 & RECITATION A

(Applied Linear Algebra)

The Department of Mathematics & Computing Science is seeking to staff the following course and recitation for the Spring Semester, 2022:

 

MATH 2301.1 MW 5:30pm – 7:59pm ON CAMPUS

MATH 2301.1RA MW 8:00pm – 9:15pm ON CAMPUS

                            

The course and recitation are offered as a unit. The successful applicant will be required to maintain reasonable contact with students and to grade all major assessments such as midterm and final examinations.

The stipend* for MATH 2301.1 is $4852.00 – $6137.50 (depending on experience at Saint Mary’s). The stipend* for the corresponding recitation is $2426.00 – $3068.75 (depending on experience at Saint Mary’s).

The Department requires the following qualification and experience:

PhD in Mathematics required. 

Successful experience teaching similar course at the University level.

Applications are invited in the first instance from part-time faculty colleagues who are on the Precedence List.

Send your application to:  ptpositionsmath@cs.smu.ca 

If you have never taught at Saint Mary’s,

Send:

-An up-to-date Curriculum Vitae

-University transcripts and Proof of Degrees

(e.g., photocopies of certificates)

AND

Have sent:

-Two (2) letters of reference.

*The stipend is subject to the current negotiations between CUPE and Saint Mary’s University

Applications should be received no later than March 14, 2022

 

 

PART-TIME POSITIONS

SPRING TERM 2022

MATH 1251.1 and RECITATION

(Calculus for Life Sciences II)

 

The Department of Mathematics & Computing Science is seeking to staff the following course and recitation for the Spring Semester, 2022:

MATH 1251.1 TR 5:30pm – 7:59pm ON CAMPUS

MATH 1251.1R TR 8:00pm – 9:15pm ON CAMPUS

 

The course and recitation are offered as a unit. The successful applicant will be required to maintain reasonable contact with students and to grade all major assessments such as midterm and final examinations.

 

The stipend* for MATH 1251.1 is $4852.00 – $6137.50 (depending on experience at Saint Mary’s). 

The stipend* for the corresponding recitation is $2426.00 – $3068.75 (depending on experience at Saint Mary’s).

The Department requires the following qualification and experience:

Minimum Master’s Degree in Mathematics or Mathematics Education

Successful experience teaching Calculus at the University Level

Applications are invited in the first instance from part-time faculty colleagues who are on the Precedence List.

Send your application to:  ptpositionsmath@cs.smu.ca 

If you have never taught at Saint Mary’s,

Send:

-An up-to-date Curriculum Vitae

-University transcripts and Proof of Degrees

(e.g., photocopies of certificates)

AND

Have sent:

-Two (2) letters of reference.

*The stipend is subject to the current negotiations between CUPE and Saint Mary’s University

Applications should be received no later than March 14, 2022

 

PART-TIME POSITIONS

SPRING TERM 2022

MATH 1211.1 and RECITATION A

(Introductory Calculus II)

The Department of Mathematics & Computing Science is seeking to staff the following course and recitation for the Spring Semester, 2022:

 

MATH 1211.1 TR 5:30pm – 7:59pm ON CAMPUS

MATH 1211.1RA TR 8:00pm – 9:15pm ON CAMPUS

 

The course and recitation are offered as a unit. The successful applicant will be required to maintain reasonable contact with students and to grade all major assessments such as midterm and final examinations.

 

The stipend* for MATH 1211.1 is $4852.00 – $6137.50 (depending on experience at Saint Mary’s). 

The stipend* for the corresponding recitation is $2426.00 – $3068.75 (depending on experience at Saint Mary’s).

The Department requires the following qualification and experience:

Minimum Master’s Degree in Mathematics or Mathematics Education

Successful experience teaching Calculus at the University Level

 

Applications are invited in the first instance from part-time faculty colleagues who are on the Precedence List.

Send your application to:  ptpositionsmath@cs.smu.ca 

If you have never taught at Saint Mary’s,

Send:

-An up-to-date Curriculum Vitae

-University transcripts and Proof of Degrees

(e.g., photocopies of certificates)

AND

Have sent:

-Two (2) letters of reference.

*The stipend is subject to the current negotiations between CUPE and Saint Mary’s University

Applications should be received no later than March 14, 2022

 

PART-TIME POSITIONS

SPRING TERM 2022

MATH 1210.1 and RECITATION A

(Introductory Calculus I)

The Department of Mathematics & Computing Science is seeking to staff the following course and recitation for the Spring Semester, 2022:

MATH 1210.1 TR 5:30pm – 7:59pm ON CAMPUS

MATH 1210.1RA TR 8:00pm – 9:15pm ON CAMPUS

The course and recitation are offered as a unit. The successful applicant will be required to maintain reasonable contact with students and to grade all major assessments such as midterm and final examinations.

 

The stipend* for MATH 1210.1 is $4852.00 – $6137.50 (depending on experience at Saint Mary’s). 

The stipend* for the corresponding recitation is $2426.00 – $3068.75 (depending on experience at Saint Mary’s).

The Department requires the following qualification and experience:

Minimum Master’s Degree in Mathematics or Mathematics Education

Successful experience teaching Calculus at the University Level

Applications are invited in the first instance from part-time faculty colleagues who are on the Precedence List.

Send your application to:  ptpositionsmath@cs.smu.ca 

 

If you have never taught at Saint Mary’s,

Send:

-An up-to-date Curriculum Vitae

-University transcripts and Proof of Degrees

(e.g., photocopies of certificates)

AND

Have sent:

-Two (2) letters of reference.

*The stipend is subject to the current negotiations between CUPE and Saint Mary’s University

Applications should be received no later than March 14, 2022

 

PART-TIME POSITIONS

SPRING TERM 2022

MATH 1202.1 and RECITATION

(Concepts and Topics in Math)

The Department of Mathematics & Computing Science is seeking to staff the following course and recitation for the Spring Semester, 2022:

 

MATH 1202.1 TR 5:30pm – 7:59pm ON CAMPUS

MATH 1202.1R TR 8:00pm – 9:15pm ON CAMPUS

 

The course and recitation are offered as a unit. The successful applicant will be required to maintain reasonable contact with students and to grade all major assessments such as midterm and final examinations.

The stipend* for MATH 1202.1 is $4852.00 – $6137.50 (depending on experience at Saint Mary’s). 

The stipend* for the corresponding recitation is $2426.00 – $3068.75 (depending on experience at Saint Mary’s).

The Department requires the following qualification and experience:

Minimum Master’s Degree in Mathematics or Mathematics Education

Successful experience teaching a similar course at the University Level

Applications are invited in the first instance from part-time faculty colleagues who are on the Precedence List.

Send your application to:  ptpositionsmath@cs.smu.ca 

 

If you have never taught at Saint Mary’s,

Send:

-An up-to-date Curriculum Vitae

-University transcripts and Proof of Degrees

(e.g., photocopies of certificates)

AND

Have sent:

-Two (2) letters of reference.

*The stipend is subject to the current negotiations between CUPE and Saint Mary’s University

Applications should be received no later than March 14, 2022

 
MSVU

————————————————
Department/Faculty: Mathematics
Course Name: Introduction to Statistics II
Course Code: MATH 2209 38
Academic Term: Summer Session II
Class Timetable: MW 6:30PM – 7:45PM Synchronous Online

Course Unit Value: 0.5
—————————————————
Start Date: 7/4/2022
End Date: 8/19/2022
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Master’s degree in Statistics, or a Masters degree in a field related to Statistics with at least one unit of advanced coursework in Statistics.In addition, experience teaching similar introductory statistics to non-science majors is required.Candidates must also have experience using the Blackboard/Collaborate virtual classroom. Candidates must be willing to participate in additional training in the optimum range of teaching operations in the Moodle LMS and in the Collaborate virtual classroom, if necessary, to reach the required level of competency before the course begins. In addition, experience with
the use of MINITAB for data analysis is required. Candidates must also be sensitive to the needs of distant, mature and part-time learners.
Synchronous and asynchronous discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking, distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
This is a coordinated course with a laboratory component. The laboratory components are taught by the laboratory instructor.  Instructors are required to follow the common course syllabus and guidelines for
assignments, midterm and final exams, and grades.Due to distance, the mailing of materials may extend beyond the traditional time frames of the course.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.caApplication deadline: 3/18/2022
—————————————————

———————————————–
Department/Faculty: Mathematics
Course Name: Introduction to Statistics II
Course Code: MATH 2209 28
Academic Term: Summer Session II
Class Timetable: W 7:00PM – 9:00PM Synchronous Online

Course Unit Value: 0.5
—————————————————
Start Date: 7/4/2022
End Date: 8/19/2022
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Master’s degree in Statistics, or a Masters degree in a field related to Statistics with at least one unit of advanced coursework in Statistics.In addition, experience teaching similar introductory statistics to non-science majors is required.Candidates must also have experience using the Blackboard/Collaborate virtual classroom. Candidates must be willing to participate in additional training in the optimum range of teaching operations in the Moodle LMS and in the Collaborate virtual classroom, if necessary, to reach the required level of competency before the course begins. In addition, experience with
the use of MINITAB for data analysis is required. Candidates must also be sensitive to the needs of distant, mature and part-time learners.
Synchronous and asynchronous discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking, distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
This is a coordinated course with a laboratory component. The laboratory components are taught by the laboratory instructor.  Instructors are required to follow the common course syllabus and guidelines for
assignments, midterm and final exams, and grades.Due to distance, the mailing of materials may extend beyond the traditional time frames of the course.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.caApplication deadline: 3/18/2022
—————————————————

————————————————-
Department/Faculty: Mathematics
Course Name: Introduction to Statistics II
Course Code: MATH 2209 19
Academic Term: Summer Session II
Class Timetable: T 8:00PM – 10:00PM Synchronous Online
Course Unit Value: 0.5
—————————————————
Start Date: 7/4/2022
End Date: 8/19/2022

—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Master’s degree in Statistics, or a Masters degree in a field related to Statistics with at least one unit of advanced coursework in Statistics.In addition, experience teaching similar introductory statistics to non-science majors is required.Candidates must also have experience using the Blackboard/Collaborate virtual classroom. Candidates must be willing to participate in additional training in the optimum range of teaching operations in the Moodle LMS and in the Collaborate virtual classroom, if necessary, to reach the required level of competency before the course begins. In addition, experience with
the use of MINITAB for data analysis is required. Candidates must also be sensitive to the needs of distant, mature and part-time learners.
Synchronous and asynchronous discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking, distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
This is a coordinated course with a laboratory component. The laboratory components are taught by the laboratory instructor.  Instructors are required to follow the common course syllabus and guidelines for
assignments, midterm and final exams, and grades.Due to distance, the mailing of materials may extend beyond the traditional time frames of the course.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.ca

Application deadline: 3/18/2022
————————————————–

————————————————-
Department/Faculty: Mathematics
Course Name: Introduction to Statistics II
Course Code: MATH 2209 19
Academic Term: Summer Session I
Class Timetable: W 8:00PM – 10:00PM Synchronous Online

Course Unit Value: 0.5
—————————————————
Start Date: 5/9/2022
End Date: 6/24/2022
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Master’s degree in Statistics, or a Masters degree in a field related to Statistics with at least one unit of advanced coursework in Statistics.In addition, experience teaching similar introductory statistics to non-science majors is required.Candidates must also have experience using the Blackboard/Collaborate virtual classroom. Candidates must be willing to participate in additional training in the optimum range of teaching operations in the Moodle LMS and in the Collaborate virtual classroom, if necessary, to reach the required level of competency before the course begins. In addition, experience with
the use of MINITAB for data analysis is required. Candidates must also be sensitive to the needs of distant, mature and part-time learners.
Synchronous and asynchronous discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking, distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
This is a coordinated course with a laboratory component. The laboratory components are taught by the laboratory instructor.  Instructors are
required to follow the common course syllabus and guidelines for assignments, midterm and final exams, and grades.Due to distance, the mailing of materials may extend beyond the traditional time frames of the course.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.caApplication deadline: 3/4/2022
—————————————————

———————————————-
Department/Faculty: Mathematics
Course Name: Introduction to Statistics II
Course Code: MATH 2209 18
Academic Term: Summer Session I
Class Timetable: T 8:00PM – 10:00PM Synchronous Online
Course Unit Value: 0.5
—————————————————
Start Date: 5/9/2022
End Date: 6/24/2022
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Master’s degree in Statistics, or a Masters degree in a field related to Statistics with at least one unit of advanced coursework in Statistics.

In addition, experience teaching similar introductory statistics to non-science majors is required.

Candidates must also have experience using the Blackboard/Collaborate virtual classroom. Candidates must be willing to participate in additional training in the optimum range of teaching operations in the Moodle LMS and in the Collaborate virtual classroom, if necessary, to reach the required level of competency before the course begins. In addition, experience with
the use of MINITAB for data analysis is required. Candidates must also be sensitive to the needs of distant, mature and part-time learners.
Synchronous and asynchronous discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking, distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
This is a coordinated course with a laboratory component. The laboratory components are taught by the laboratory instructor.  Instructors are required to follow the common course syllabus and guidelines for
assignments, midterm and final exams, and grades.

Due to distance, the mailing of materials may extend beyond the traditional time frames of the course.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.ca

Application deadline: 3/4/2022
—————————————————

————————————————
Department/Faculty: Mathematics
Course Name: Introduction to Statistics II
Course Code: MATH 2209 01
Academic Term: Summer Session I
Class Timetable: MTWTHF 9:00AM – 11:30AM On campus
Course Unit Value: 0.5
—————————————————
Start Date: 6/2/2022
End Date: 6/24/2022
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Master’s degree in Statistics, or a Masters degree in a field related to Statistics with at least one unit of advanced coursework in Statistics.

In addition, experience teaching similar introductory statistics to non-science majors is required.

In the event the section is moved to online delivery, candidates must also have experience using the Blackboard/Collaborate virtual classroom.
Candidates must be willing to participate in additional training in the optimum range of teaching operations in the Moodle LMS and in the Collaborate virtual classroom, if necessary, to reach the required level
of competency before the course begins. In addition, experience with the use of MINITAB for data analysis is required. Candidates must also be sensitive to the needs of distant, mature and part-time learners.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking, distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
This is a coordinated course with a laboratory component. The laboratory components are taught by the laboratory instructor.  Instructors are required to follow the common course syllabus and guidelines for
assignments, midterm and final exams, and grades.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.ca

Application deadline: 3/18/2022
—————————————————

————————————————
Department/Faculty: Mathematics
Course Name: Introduction to Statistics I
Course Code: MATH 2208 39
Academic Term: Summer Session I
Class Timetable: MW 6:30PM – 7:45PM Synchronous Online

Course Unit Value: 0.5
—————————————————
Start Date: 5/9/2022
End Date: 6/24/2022
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Master’s degree in Statistics, or a Masters degree in a field related to Statistics with at least one unit of advanced coursework in Statistics.In addition, experience teaching similar introductory statistics to non-science majors is required.Candidates must also have experience using the Blackboard/Collaborate virtual classroom. Candidates must be willing to participate in additional training in the optimum range of teaching operations in the Moodle LMS and in the Collaborate virtual classroom, if necessary, to reach the required level of competency before the course begins. In addition, experience with
the use of MINITAB for data analysis is required. Candidates must also be sensitive to the needs of distant, mature and part-time learners.
Synchronous and asynchronous discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking, distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
This is a coordinated course with a laboratory component. The laboratory components are taught by the laboratory instructor.  Instructors are required to follow the common course syllabus and guidelines for
assignments, midterm and final exams, and grades.Due to distance, the mailing of materials may extend beyond the traditional time frames of the course.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.caApplication deadline: 3/4/2022
—————————————————

————————————————
Department/Faculty: Mathematics
Course Name: Introduction to Statistics I
Course Code: MATH 2208 28
Academic Term: Summer Session I
Class Timetable: T 7:00PM – 9:00PM Synchronous Online

Course Unit Value: 0.5
—————————————————
Start Date: 5/9/2022
End Date: 6/24/2022
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Master’s degree in Statistics, or a Masters degree in a field related to Statistics with at least one unit of advanced coursework in Statistics.In addition, experience teaching similar introductory statistics to non-science majors is required.Candidates must also have experience using the Blackboard/Collaborate virtual classroom. Candidates must be willing to participate in additional training in the optimum range of teaching operations in the Moodle LMS and in the Collaborate virtual classroom, if necessary, to reach the required level of competency before the course begins. In addition, experience with
the use of MINITAB for data analysis is required. Candidates must also be sensitive to the needs of distant, mature and part-time learners.
Synchronous and asynchronous discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking, distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
This is a coordinated course with a laboratory component. The laboratory components are taught by the laboratory instructor.  Instructors are required to follow the common course syllabus and guidelines for
assignments, midterm and final exams, and grades.Due to distance, the mailing of materials may extend beyond the traditional time frames of the course.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.caApplication deadline: 3/4/2022
—————————————————

————————————————
Department/Faculty: Mathematics
Course Name: Introduction to Statistics I
Course Code: MATH 2208 18
Academic Term: Summer Session I
Class Timetable: T 8:00PM – 10:00PM Synchronous Online
Course Unit Value: 0.5
—————————————————
Start Date: 5/9/2022
End Date: 6/24/2022
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Master’s degree in Statistics, or a Masters degree in a field related to Statistics with at least one unit of advanced coursework in Statistics.

In addition, experience teaching similar introductory statistics to non-science majors is required.

Candidates must also have experience using the Blackboard/Collaborate virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. In addition, experience with the use of MINITAB for data analysis is required. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
Synchronous and asynchronous discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking, distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
This is a coordinated course with a laboratory component. The laboratory components are taught by the laboratory instructor.  Instructors are required to follow the common course syllabus and guidelines for
assignments, midterm and final exams, and grades.

Due to distance, the mailing of materials may extend beyond the traditional time frames of the course.

—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.caApplication deadline: 3/4/2022
—————————————————

————————————————-
Department/Faculty: Mathematics
Course Name: Introduction to Statistics I
Course Code: MATH 2208 01
Academic Term: Summer Session I
Class Timetable: MTWTHF 9:00AM – 11:30AM On campus Course Unit Value: 0.5
—————————————————
Start Date: 5/9/2022
End Date: 6/1/2022
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Master’s degree in Statistics, or a Masters degree in a field related to Statistics with at least one unit of advanced coursework in Statistics.

In addition, experience teaching similar introductory statistics to non-science majors is required.

In the event the section is moved to online delivery, candidates must also have experience using the Blackboard/Collaborate virtual classroom.
Candidates must be willing to participate in additional training in the optimum range of teaching operations in the Moodle LMS and in the Collaborate virtual classroom, if necessary, to reach the required level
of competency before the course begins. In addition, experience with the use of MINITAB for data analysis is required. Candidates must also be sensitive to the needs of distant, mature and part-time learners.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking, distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
This is a coordinated course with a laboratory component. The laboratory components are taught by the laboratory instructor.  Instructors are required to follow the common course syllabus and guidelines for
assignments, midterm and final exams, and grades.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.ca

Application deadline: 3/4/2022
—————————————————

———————————————-
Department/Faculty: Mathematics
Course Name: LAB: Intro to Statistics II
Course Code: MATH 209D DD
Academic Term: Summer Session II
Class Timetable: MW 8:00PM – 9:15PM Synchronous Online

Course Unit Value: 0.125
—————————————————
Start Date: 7/4/2022
End Date: 8/19/2022
—————————————————
Qualifications:
Bachelor’s degree with Major or Honours in Statistics, or in a field related to Statistics. The candidate must have completed at least one unit of coursework in Statistics.In addition, experience teaching similar introductory statistics labs to non-science majors is required.Candidates must also have experience using the Blackboard/Collaborate virtual classroom. Candidates must be willing to participate in additional training in the optimum range of teaching operations in the Moodle LMS and in the Collaborate virtual classroom, if necessary, to reach the required level of competency before the course begins. In addition, experience with
the use of MINITAB for data analysis is required. Candidates must also be sensitive to the needs of distant, mature and part-time learners.
Synchronous and asynchronous discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking, distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Statistics Laboratory Instructor. The lab instructor is required to follow the course syllabus and guidelines for lab assignments and grading.Email messages from students received outside the scheduled laboratory time should be answered with reasonable promptness.Due to distance, the mailing of materials may extend beyond the traditional time frames.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.caApplication deadline: 3/18/2022
—————————————————

————————————————-
Department/Faculty: Mathematics
Course Name: LAB: Intro to Statistics II
Course Code: MATH 209D DC
Academic Term: Summer Session II
Class Timetable: TH 9:30PM – 10:45PM Synchronous Online
Course Unit Value: 0.125
—————————————————
Start Date: 7/4/2022
End Date: 8/19/2022

—————————————————
Qualifications:
Bachelor’s degree with Major or Honours in Statistics, or in a field related to Statistics. The candidate must have completed at least one unit of coursework in Statistics.In addition, experience teaching similar introductory statistics labs to non-science majors is required.Candidates must also have experience using the Blackboard/Collaborate virtual classroom. Candidates must be willing to participate in additional training in the optimum range of teaching operations in the Moodle LMS and in the Collaborate virtual classroom, if necessary, to reach the required level of competency before the course begins. In addition, experience with
the use of MINITAB for data analysis is required. Candidates must also be sensitive to the needs of distant, mature and part-time learners.
Synchronous and asynchronous discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking, distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Statistics Laboratory Instructor. The lab instructor is required to follow the course syllabus and guidelines for lab assignments and grading.Email messages from students received outside the scheduled laboratory time should be answered with reasonable promptness.Due to distance, the mailing of materials may extend beyond the traditional time frames.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.ca

Application deadline: 3/18/2022
—————————————————

————————————————-
Department/Faculty: Mathematics
Course Name: LAB: Intro to Statistics II
Course Code: MATH 209D DC
Academic Term: Summer Session I
Class Timetable: TH 9:30PM – 10:45PM Synchronous Online
Course Unit Value: 0.125
—————————————————
Start Date: 5/9/2022
End Date: 6/24/2022

—————————————————
Qualifications:
Bachelor’s degree with Major or Honours in Statistics, or in a field related to Statistics. The candidate must have completed at least one unit of coursework in Statistics.In addition, experience teaching similar introductory statistics labs to non-science majors is required.Candidates must also have experience using the Blackboard/Collaborate virtual classroom. Candidates must be willing to participate in additional training in the optimum range of teaching operations in the Moodle LMS and in the Collaborate virtual classroom, if necessary, to reach the required level of competency before the course begins. In addition, experience with
the use of MINITAB for data analysis is required. Candidates must also be sensitive to the needs of distant, mature and part-time learners.
Synchronous and asynchronous discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking, distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Statistics Laboratory Instructor. The lab instructor is required to follow the course syllabus and guidelines for lab assignments and grading.Email messages from students received outside the scheduled laboratory time should be answered with reasonable promptness.Due to distance, the mailing of materials may extend beyond the traditional time frames.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.ca

Application deadline: 3/4/2022
—————————————————

————————————————-
Department/Faculty: Mathematics
Course Name: LAB: Intro to Statistics II
Course Code: MATH 209D DB
Academic Term: Summer Session II
Class Timetable: TH 8:00PM – 9:15PM Synchronous Online
Course Unit Value: 0.125
—————————————————
Start Date: 7/4/2022
End Date: 8/19/2022

—————————————————
Qualifications:
Bachelor’s degree with Major or Honours in Statistics, or in a field related to Statistics. The candidate must have completed at least one unit of coursework in Statistics.In addition, experience teaching similar introductory statistics labs to non-science majors is required.Candidates must also have experience using the Blackboard/Collaborate virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. In addition, experience with the use of MINITAB for data analysis is required. Candidates must also be sensitive to the needs of distant, mature and part-time learners.
Synchronous and asynchronous discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking, distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Statistics Laboratory Instructor. The lab instructor is required to follow the course syllabus and guidelines for lab assignments and grading.Email messages from students received outside the scheduled laboratory time should be answered with reasonable promptness.Due to distance, the mailing of materials may extend beyond the traditional time frames.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.ca

Application deadline: 3/18/2022

————————————————
Department/Faculty: Mathematics
Course Name: LAB: Intro to Statistics II
Course Code: MATH 209D DB
Academic Term: Summer Session I
Class Timetable: TH 8:00PM – 9:15PM Synchronous Online
Course Unit Value: 0.125
—————————————————
Start Date: 5/9/2022
End Date: 6/24/2022

—————————————————
Qualifications:
Bachelor’s degree with Major or Honours in Statistics, or in a field related to Statistics. The candidate must have completed at least one unit of coursework in Statistics.In addition, experience teaching similar introductory statistics labs to non-science majors is required.Candidates must also have experience using the Blackboard/Collaborate virtual classroom. Candidates must be willing to participate in additional training in the optimum range of teaching operations in the Moodle LMS and in the Collaborate virtual classroom, if necessary, to reach the required level of competency before the course begins. In addition, experience with
the use of MINITAB for data analysis is required. Candidates must also be sensitive to the needs of distant, mature and part-time learners.
Synchronous and asynchronous discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking, distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Statistics Laboratory Instructor. The lab instructor is required to follow the course syllabus and guidelines for lab assignments and grading.Email messages from students received outside the scheduled laboratory time should be answered with reasonable promptness.Due to distance, the mailing of materials may extend beyond the traditional time frames.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.ca

Application deadline: 3/4/2022
—————————————————

————————————————
Department/Faculty: Mathematics
Course Name: LAB: Intro to Statistics II
Course Code: MATH 209D DA
Academic Term: Summer Session II
Class Timetable: TH 6:30PM – 7:45PM Synchronous Online
Course Unit Value: 0.125
—————————————————
Start Date: 7/4/2022
End Date: 8/19/2022

—————————————————
Qualifications:
Bachelor’s degree with Major or Honours in Statistics, or in a field related to Statistics. The candidate must have completed at least one unit of coursework in Statistics.In addition, experience teaching similar introductory statistics labs to non-science majors is required.Candidates must also have experience using the Blackboard/Collaborate virtual classroom. Candidates must be willing to participate in additional training in the optimum range of teaching operations in the Moodle LMS and in the Collaborate virtual classroom, if necessary, to reach the required level of competency before the course begins. In addition, experience with
the use of MINITAB for data analysis is required. Candidates must also be sensitive to the needs of distant, mature and part-time learners.
Synchronous and asynchronous discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking, distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Statistics Laboratory Instructor. The lab instructor is required to follow the course syllabus and guidelines for lab assignments and grading.Email messages from students received outside the scheduled laboratory time should be answered with reasonable promptness.Due to distance, the mailing of materials may extend beyond the traditional time frames.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.ca

Application deadline: 3/18/2022
—————————————————

————————————————-
Department/Faculty: Mathematics
Course Name: LAB: Intro to Statistics II
Course Code: MATH 209D DA
Academic Term: Summer Session I
Class Timetable: TH 6:30PM – 7:45PM Synchronous Online

Course Unit Value: 0.125
—————————————————
Start Date: 5/9/2022
End Date: 6/24/2022
—————————————————
Qualifications:
Bachelor’s degree with Major or Honours in Statistics, or in a field related to Statistics. The candidate must have completed at least one unit of coursework in Statistics.In addition, experience teaching similar introductory statistics labs to non-science majors is required.Candidates must also have experience using the Blackboard/Collaborate virtual classroom. Candidates must be willing to participate in additional training in the optimum range of teaching operations in the Moodle LMS and in the Collaborate virtual classroom, if necessary, to reach the required level of competency before the course begins. In addition, experience with
the use of MINITAB for data analysis is required. Candidates must also be sensitive to the needs of distant, mature and part-time learners.
Synchronous and asynchronous discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking, distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Statistics Laboratory Instructor. The lab instructor is required to follow the course syllabus and guidelines for lab assignments and grading.Email messages from students received outside the scheduled laboratory time should be answered with reasonable promptness.Due to distance, the mailing of materials may extend beyond the traditional time frames.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.caApplication deadline: 3/4/2022
—————————————————

————————————————
Department/Faculty: Mathematics
Course Name: LAB: Intro to Statistics I
Course Code: MATH 208D DG
Academic Term: Summer Session I
Class Timetable: MW 8:00PM – 9:15PM Synchronous Online

Course Unit Value: 0.125
—————————————————
Start Date: 5/9/2022
End Date: 6/24/2022
—————————————————
Qualifications:
Bachelor’s degree with Major or Honours in Statistics, or in a field related to Statistics. The candidate must have completed at least one unit of coursework in Statistics.In addition, experience teaching similar introductory statistics labs to non-science majors is required.Candidates must also have experience using the Blackboard/Collaborate virtual classroom. Candidates must be willing to participate in additional training in the optimum range of teaching operations in the Moodle LMS and in the Collaborate virtual classroom, if necessary, to reach the required level of competency before the course begins. In addition, experience with
the use of MINITAB for data analysis is required. Candidates must also be sensitive to the needs of distant, mature and part-time learners.
Synchronous and asynchronous discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking, distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Statistics Laboratory Instructor. The lab instructor is required to follow the course syllabus and guidelines for lab assignments and grading.Email messages from students received outside the scheduled laboratory time should be answered with reasonable promptness.Due to distance, the mailing of materials may extend beyond the traditional time frames.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.caApplication deadline: 3/4/2022
—————————————————

————————————————-
Department/Faculty: Mathematics
Course Name: LAB: Intro to Statistics I
Course Code: MATH 208D DE
Academic Term: Summer Session I
Class Timetable: TH 9:30PM – 10:45PM Synchronous Online

Course Unit Value: 0.125
—————————————————
Start Date: 5/9/2022
End Date: 6/24/2022
—————————————————
Qualifications:
Bachelor’s degree with Major or Honours in Statistics, or in a field related to Statistics. The candidate must have completed at least one unit of coursework in Statistics.In addition, experience teaching similar introductory statistics labs to non-science majors is required.Candidates must also have experience using the Blackboard/Collaborate virtual classroom. Candidates must be willing to participate in additional training in the optimum range of teaching operations in the Moodle LMS and in the Collaborate virtual classroom, if necessary, to reach the required level of competency before the course begins. In addition, experience with
the use of MINITAB for data analysis is required. Candidates must also be sensitive to the needs of distant, mature and part-time learners.
Synchronous and asynchronous discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking, distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Statistics Laboratory Instructor. The lab instructor is required to follow the course syllabus and guidelines
for lab assignments and grading.Email messages from students received outside the scheduled laboratory time should be answered with reasonable promptness.Due to distance, the mailing of materials may extend beyond the traditional time frames.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.caApplication deadline: 3/4/2022
—————————————————

————————————————-
Department/Faculty: Mathematics
Course Name: LAB: Intro to Statistics I
Course Code: MATH 208D DD
Academic Term: Summer Session I
Class Timetable: TH 8:00PM – 9:15PM Synchronous Online

Course Unit Value: 0.125
—————————————————
Start Date: 5/9/2022
End Date: 6/24/2022
—————————————————
Qualifications:
Bachelor’s degree with Major or Honours in Statistics, or in a field related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics.In addition, experience teaching similar introductory statistics labs to non-science majors is required.Candidates must also have experience using the Blackboard/Collaborate virtual classroom. Candidates must be willing to participate in additional training in the optimum range of teaching operations in the Moodle LMS and in the Collaborate virtual classroom, if necessary, to reach the required level of competency before the course begins. In addition, experience with
the use of MINITAB for data analysis is required. Candidates must also be sensitive to the needs of distant, mature and part-time learners.
Synchronous and asynchronous discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking, distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Statistics Laboratory Instructor. The lab instructor is required to follow the course syllabus and guidelines for lab assignments and grading.Email messages from students received outside the scheduled laboratory time should be answered with reasonable promptness.Due to distance, the mailing of materials may extend beyond the traditional time frames.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.caApplication deadline: 3/4/2022
—————————————————

————————————————-
Department/Faculty: Mathematics
Course Name: LAB: Intro to Statistics I
Course Code: MATH 208D DC
Academic Term: Summer Session I
Class Timetable: TH 6:30PM – 7:45PM Synchronous Online

Course Unit Value: 0.125
—————————————————
Start Date: 5/9/2022
End Date: 6/24/2022
—————————————————
Qualifications:
Bachelor’s degree with Major or Honours in Statistics, or in a field related to Statistics. The candidate must have completed at least one unit of coursework in Statistics.In addition, experience teaching similar introductory statistics labs to non-science majors is required.Candidates must also have experience using the Blackboard/Collaborate virtual classroom. Candidates must be willing to participate in additional training in the optimum range of teaching operations in the Moodle LMS and in the Collaborate virtual classroom, if necessary, to reach the required level of competency before the course begins. In addition, experience with
the use of MINITAB for data analysis is required. Candidates must also be sensitive to the needs of distant, mature and part-time learners.
Synchronous and asynchronous discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking, distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Statistics Laboratory Instructor. The lab instructor is required to follow the course syllabus and guidelines for lab assignments and grading.Email messages from students received outside the scheduled laboratory time should be answered with reasonable promptness.Due to distance, the mailing of materials may extend beyond the traditional time frames.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.caApplication deadline: 3/4/2022
—————————————————

————————————————–
Department/Faculty: Mathematics
Course Name: LAB: Intro to Statistics I
Course Code: MATH 208D DB
Academic Term: Summer Session I
Class Timetable: W 9:30PM – 10:45PM Synchronous Online

Course Unit Value: 0.125
—————————————————
Start Date: 5/9/2022
End Date: 6/24/2022
—————————————————
Qualifications:
Bachelor’s degree with Major or Honours in Statistics, or in a field related to Statistics. The candidate must have completed at least one unit of coursework in Statistics.In addition, experience teaching similar introductory statistics labs to non-science majors is required.Candidates must also have experience using the Blackboard/Collaborate virtual classroom. Candidates must be willing to participate in additional training in the optimum range of teaching operations in the Moodle LMS and in the Collaborate virtual classroom, if necessary, to reach the required level of competency before the course begins. In addition, experience with
the use of MINITAB for data analysis is required. Candidates must also be sensitive to the needs of distant, mature and part-time learners.
Synchronous and asynchronous discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking, distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Statistics Laboratory Instructor. The lab instructor is required to follow the course syllabus and guidelines for lab assignments and grading.Email messages from students received outside the scheduled laboratory time should be answered with reasonable promptness.Due to distance, the mailing of materials may extend beyond the traditional time frames.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.caApplication deadline: 3/4/2022
—————————————————

Department/Faculty: Mathematics
Course Name: LAB: Intro to Statistics I
Course Code: MATH 208D DA
Academic Term: Summer Session I
Class Timetable: W 6:30PM – 7:45PM  Synchronous Online
Course Unit Value: 0.125
—————————————————
Start Date: 5/9/2022
End Date: 6/24/2022
—————————————————
Qualifications:
Bachelor’s degree with Major or Honours in Statistics, or in a field related to Statistics. The candidate must have completed at least one unit of coursework in Statistics.

In addition, experience teaching similar introductory statistics labs to non-science majors is required.

Candidates must also have experience using the Blackboard/Collaborate virtual classroom. Candidates must be willing to participate in additional training in the optimum range of teaching operations in the Moodle LMS and in the Collaborate virtual classroom, if necessary, to reach the required level of competency before the course begins. In addition, experience with
the use of MINITAB for data analysis is required. Candidates must also be sensitive to the needs of distant, mature and part-time learners.
Synchronous and asynchronous discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking, distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Statistics Laboratory Instructor. The lab instructor is required to follow the course syllabus and guidelines
for lab assignments and grading.

Email messages from students received outside the scheduled laboratory time should be answered with reasonable promptness.

Due to distance, the mailing of materials may extend beyond the traditional time frames

—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.ca

Application deadline: 3/4/2022
—————————————————

————————————————-
Department/Faculty: Mathematics
Course Name: Statistics and Mathematics Preparation
Course Code: MATH 0027 19
Academic Term: Summer Session II
Class Timetable: Asynchronous Online
Course Unit Value: 0.5
—————————————————
Start Date: 7/4/2022
End Date: 8/19/2022
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Master’s degree in Statistics, or a Masters degree in a field related to Mathematics or Statistics.

In addition, experience teaching a similar course to prepare non-science majors who will be taking further Mathematics and/or Statistics courses is required.

Candidates must also have experience using the Blackboard/Collaborate virtual classroom. Candidates must be willing to participate in additional training in the optimum range of teaching operations in the Moodle LMS and in the Collaborate virtual classroom, if necessary, to reach the required level of competency before the course begins. Candidates must also be
sensitive to the needs of distant, mature, and part-time learners.
Synchronous and asynchronous discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking, distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Due to distance, the mailing of materials may extend beyond the traditional time frames of the course.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.ca

Application deadline: 3/18/2022
—————————————————

————————————————-
Department/Faculty: Mathematics
Course Name: Statistics and Mathematics Preparation
Course Code: MATH 0027 18
Academic Term: Summer Session I
Class Timetable: Asynchronous Online
Course Unit Value: 0.5
—————————————————
Start Date: 5/9/2022
End Date: 6/24/2022
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Master’s degree in Statistics, or a Masters degree in a field related to Mathematics or Statistics.

In addition, experience teaching a similar course to prepare non-science majors who will be taking further Mathematics and/or Statistics courses is required.

Candidates must also have experience using the Blackboard/Collaborate virtual classroom. Candidates must be willing to participate in additional training in the optimum range of teaching operations in the Moodle LMS and in the Collaborate virtual classroom, if necessary, to reach the required level of competency before the course begins. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
Synchronous and asynchronous discussions occur during the week on-line.

—————————————————
Duties: Preparation, teaching, student consultation, grading and marking, distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Due to distance, the mailing of materials may extend beyond the traditional time frames of the course.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.ca

Application deadline: 3/4/2022
—————————————————
SMU

Department of Mathematics and Computing Science

PART-TIME POSITIONS

WINTER TERM 2022

MATH2305.2 & Recitation

(Survey of Discrete Mathematics)

The Department of Mathematics & Computing Science is seeking to staff the following course and recitation for the Winter semester, 2022:

MATH2305.2 TR 2:30pm – 3:45pm ON CAMPUS                                   

MATH2305.2R R 4:00pm – 5:15pm  ON CAMPUS       

The course and recitation are offered as a unit. The successful applicant will be required to maintain reasonable contact with students and to grade all major assessments such as midterm and final examinations.

The stipend* for MATH2305.2 is $4852.00 – $6137.50 (depending on experience at Saint Mary’s). 

The stipend* for the corresponding recitation is $2426.00 – $3068.75 (depending on experience at Saint Mary’s).

The Department requires the following qualification and experience:

PhD in Mathematics required. 

Successful experience teaching similar course at the University level.

Applications are invited in the first instance from part-time faculty colleagues who are on the Precedence List.

Send your application to:  ptpositionsmath@cs.smu.ca

If you have never taught at Saint Mary’s,

Send:

-An up-to-date Curriculum Vitae

-University transcripts and Proof of Degrees

(e.g. photocopies of certificates)

AND

Have sent:

-Two (2) letters of reference.

*The stipend is subject to the current negotiations between CUPE and Saint Mary’s University

Applications should be received no later than December 1, 2021

Department of Mathematics and Computing Science

PART-TIME POSITIONS

WINTER TERM 2022

MATH2303.2B & Rec. (REMOTE)

(Differential Equations I)

The Department of Mathematics & Computing Science is seeking to staff the following course and recitation for the Winter semester, 2022:

MATH2303.2B Asynchronous REMOTE                                   

MATH2303.2RD F 11:30am – 12:45am  REMOTE

The course and recitation are offered as a unit. All instruction will be delivered online and the applicant is expected to have access to sufficient technological resources (including internet connectivity) to make this feasible.  The successful candidate will be required to maintain reasonable contact with students and grade major assessments such as midterm and final examinations.

The stipend* for MATH2303.2B is $4852.00 – $6137.50 (depending on experience at Saint Mary’s). 

The stipend* for the corresponding recitation is $2426.00 – $3068.75 (depending on experience at Saint Mary’s).

The Department requires the following qualification and experience:

PhD in Mathematics required. 

Successful experience teaching Differential Equations at the University level.

Applications are invited in the first instance from part-time faculty colleagues who are on the Precedence List.

Send your application to:  ptpositionsmath@cs.smu.ca

If you have never taught at Saint Mary’s,

Send:

-An up-to-date Curriculum Vitae

-University transcripts and Proof of Degrees

(e.g. photocopies of certificates)

AND

Have sent:

-Two (2) letters of reference.

*The stipend is subject to the current negotiations between CUPE and Saint Mary’s University

Applications should be received no later than December 1, 2021

Department of Mathematics and Computing Science

PART-TIME POSITIONS

WINTER TERM 2022

MATH2303.2 RECITATIONS

(Differential Equations I)

The Department of Mathematics & Computing Science is seeking to staff the following RECITATIONS for the Winter semester, 2022. 

MATH2303.2RB F 1:00pm – 2:15pm ON CAMPUS

MATH2303.2RC F 2:30pm – 3:45pm ON CAMPUS

The successful candidate(s) will be required to maintain reasonable contact with students and to grade all major assessments such as midterm and final examinations.

The stipend* for each recitation is $2426.00 – $3068.75 (depending on experience at Saint Mary’s).

The Department requires the following qualification and experience:

Minimum Master’s Degree in Mathematics or Mathematics Education

Successful experience teaching Differential Equations at the University level.

Applications are invited in the first instance from part-time faculty colleagues who are on the Precedence List.

Send your application to:  ptpositionsmath@cs.smu.ca

If you have never taught at Saint Mary’s,

Send:

-An up-to-date Curriculum Vitae

-University transcripts and Proof of Degrees

(e.g. photocopies of certificates)

AND

Have sent:

-Two (2) letters of reference.

*The stipend is subject to the current negotiations between CUPE and Saint Mary’s University

Applications should be received no later than December 1, 2021

 

 

Department of Mathematics and Computing Science

PART-TIME POSITIONS

WINTER TERM 2022

MATH1251.2 RECITATIONS

(Calculus for Life Sciences II)

The Department of Mathematics & Computing Science is seeking to staff the following RECITATIONS for the Winter semester, 2022. 

MATH1251.2RC F 1:00pm – 2:15pm ON CAMPUS

MATH1251.2RD F 2:30pm – 3:45pm ON CAMPUS

The successful candidate(s) will be required to maintain reasonable contact with students and to grade all major assessments such as midterm and final examinations.

The stipend* for each recitation is $2426.00 – $3068.75 (depending on experience at Saint Mary’s).

The Department requires the following qualification and experience:

Minimum Master’s Degree in Mathematics or Mathematics Education

Successful experience teaching Calculus at the University level.

Applications are invited in the first instance from part-time faculty colleagues who are on the Precedence List.

Send your application to:  ptpositionsmath@cs.smu.ca

If you have never taught at Saint Mary’s,

Send:

-An up-to-date Curriculum Vitae

-University transcripts and Proof of Degrees

(e.g. photocopies of certificates)

AND

Have sent:

-Two (2) letters of reference.

*The stipend is subject to the current negotiations between CUPE and Saint Mary’s University

Applications should be received no later than December 1, 2021

 

Department of Mathematics and Computing Science

PART-TIME POSITIONS

WINTER TERM 2022

MATH1211.2 RECITATIONS

(Introductory Calculus II)

The Department of Mathematics & Computing Science is seeking to staff the following RECITATIONS for the Winter semester, 2022. 

MATH1211.2RE R 1:00pm – 2:15pm ON CAMPUS

MATH1211.2RF F 1:00pm – 2:15pm ON CAMPUS

The successful candidate(s) will be required to maintain reasonable contact with students and to grade all major assessments such as midterm and final examinations.

The stipend* for each recitation is $2426.00 – $3068.75 (depending on experience at Saint Mary’s).

The Department requires the following qualification and experience:

Minimum Master’s Degree in Mathematics or Mathematics Education

Successful experience teaching Calculus at the University level.

Applications are invited in the first instance from part-time faculty colleagues who are on the Precedence List.

Send your application to:  ptpositionsmath@cs.smu.ca

If you have never taught at Saint Mary’s,

Send:

-An up-to-date Curriculum Vitae

-University transcripts and Proof of Degrees

(e.g. photocopies of certificates)

AND

Have sent:

-Two (2) letters of reference.

*The stipend is subject to the current negotiations between CUPE and Saint Mary’s University

Applications should be received no later than December 1, 2021

 

 

Department of Mathematics and Computing Science

PART-TIME POSITIONS

WINTER TERM 2022

MATH1210.2 RECITATIONS

(Introductory Calculus I)

The Department of Mathematics & Computing Science is seeking to staff the following RECITATIONS for the Winter semester, 2022. 

 

MATH1210.2RA R 4:00pm – 5:15pm ON CAMPUS

MATH1210.2RD F 1:00pm – 2:15pm ON CAMPUS

MATH1210.2RE R 4:00pm – 5:15pm ON CAMPUS

The successful candidate(s) will be required to maintain reasonable contact with students and to grade all major assessments such as midterm and final examinations.

The stipend* for each recitation is $2426.00 – $3068.75 (depending on experience at Saint Mary’s).

The Department requires the following qualification and experience:

Minimum Master’s Degree in Mathematics or Mathematics Education

Successful experience teaching Calculus at the University level.

Applications are invited in the first instance from part-time faculty colleagues who are on the Precedence List.

Send your application to:  ptpositionsmath@cs.smu.ca

If you have never taught at Saint Mary’s,

Send:

-An up-to-date Curriculum Vitae

-University transcripts and Proof of Degrees

(e.g. photocopies of certificates)

AND

Have sent:

-Two (2) letters of reference.

*The stipend is subject to the current negotiations between CUPE and Saint Mary’s University

Applications should be received no later than December 1, 2021

 

 

Department of Mathematics and Computing Science

PART-TIME POSITIONS

WINTER TERM 2022

MATH1203.2 & Recitation

(Concepts in High School Math) 

The Department of Mathematics & Computing Science is seeking to staff the following course and recitation for the Winter semester, 2022.

MATH1203.2 TR 5:30pm – 6:45pm ON CAMPUS

MATH1203.2RA T 7:00pm – 8:15pm ON CAMPUS

Preference will be given to instructors with K12 classroom teaching experience. 

The course and recitation are offered as a unit. The successful applicant will be required to maintain reasonable contact with students and to grade all major assessments such as midterm and final examinations.

The stipend* for MATH1203.2 is $4852.00 – $6137.50 (depending on experience at Saint Mary’s). The stipend* for the corresponding recitation is $2426.00 – $3068.75 (depending on experience at Saint Mary’s).

The Department requires the following qualification and experience:

Minimum Master’s Degree in Mathematics or Mathematics Education

Successful experience teaching a similar course at the University level.

Applications are invited in the first instance from part-time faculty colleagues who are on the Precedence List.

Send your application to:  ptpositionsmath@cs.smu.ca

If you have never taught at Saint Mary’s,

Send:

-An up-to-date Curriculum Vitae

-University transcripts and Proof of Degrees

(e.g. photocopies of certificates)

AND

Have sent:

-Two (2) letters of reference.

*The stipend is subject to the current negotiations between CUPE and Saint Mary’s University

Applications should be received no later than December 1, 2021

 

Department of Mathematics and Computing Science

PART-TIME POSITIONS

WINTER TERM 2022

MATH1190.2 RECITATIONS B & C

(Fundamental Mathematics)

The Department of Mathematics & Computing Science is seeking to staff the following RECITATIONS for the Winter session, 2022.

MATH1190.2RB F 10:00am – 11:15am – ON CAMPUS

MATH1190.2RC F 11:30am – 12:45pm – ON CAMPUS

The successful candidate(s) will be required to maintain reasonable contact with students and to grade all major assessments such as midterm and final examinations.

The stipend* for each recitation is $2426.00 – $3068.75 (depending on experience at Saint Mary’s).

The Department requires the following qualification and experience:

Minimum Master’s Degree in Mathematics or Mathematics Education

Successful experience teaching Calculus or Pre-Calculus at the University level.

Applications are invited in the first instance from part-time faculty colleagues who are on the Precedence List.

Send your application to:   ptpositionsmath@cs.smu.ca

If you have never taught at Saint Mary’s,

Send:

-An up-to-date Curriculum Vitae

-University transcripts and Proof of Degrees

(e.g. photocopies of certificates)

AND

Have sent:

-Two (2) letters of reference.

*The stipend is subject to the current negotiations between CUPE and Saint Mary’s University

 

Applications should be received no later than December 1, 2021

 

Department of Mathematics and Computing Science

PART-TIME POSITION

WINTER TERM 2022

CSCI 4477.2 

(Data Mining)

The Department of Mathematics & Computing Science is seeking to staff the following course for the Winter semester, 2022

CSCI 4477.2 MW 10:00am – 11:15am ON CAMPUS

The successful candidate will be required to hold office hours and will invigilate and mark midterm and final examinations.

The stipend* for CSCI 4477.2 is $4852.00 – $6137.50 (depending on experience at Saint Mary’s). 

The Department requires the following qualification and experience:

Minimum Master’s Degree in Computing Science.

Successful experience teaching Data Mining at the University level.

Applications are invited in the first instance from part-time faculty colleagues who are on the Precedence List.

Send your application to: ptpositionsCS@cs.smu.ca

If you have never taught at Saint Mary’s,

Send:

-An up-to-date Curriculum Vitae

-University transcripts and Proof of Degrees

(e.g. photocopies of certificates)

AND

Have sent:

-Two (2) letters of reference.

*The stipend is subject to the current collective agreement between CUPE and Saint Mary’s University

Applications should be received no later than December 1, 2021

 

Department of Mathematics and Computing Science

PART-TIME POSITION

WINTER TERM 2022

CSCI 1226.2

(Introduction to Computing Science & Programming)

The Department of Mathematics & Computing Science is seeking to staff the following course for the Winter semester, 2022

CSCI 1226.2 TR 10:00am – 11:15am REMOTE

All instruction will be delivered remotely (online) and applicants are expected to have access to sufficient technological resources – including internet connectivity – to make this feasible. The successful candidate will be required to maintain reasonable contact with students and to grade all major assessments (e.g., midterm and final examinations).

The stipend* for CSCI1226.2 is $4852.00 – $6137.50 (depending on experience at Saint Mary’s). 

The Department requires the following qualification and experience:

Minimum Master’s degree in Computing Science.

Successful experience teaching Introductory Computing Science at the University level in Java.

Applications are invited in the first instance from part-time faculty colleagues who are on the Precedence List.

Send your application to: ptpositionsCS@cs.smu.ca

If you have never taught at Saint Mary’s,

Send:

-An up-to-date Curriculum Vitae

-University transcripts and Proof of Degrees

(e.g. photocopies of certificates)

AND

Have sent:

-Two (2) letters of reference.

*The stipend is subject to the current collective agreement between CUPE and Saint Mary’s University

 

Applications should be received no later than December 1, 2021

 

Department of Mathematics and Computing Science

PART-TIME POSITIONS

WINTER TERM 2022

CSCI 3479.2 + RECITATION

(Introduction to Virtual and Augmented Reality)

The Department of Mathematics & Computing Science is seeking to staff the following course and recitation for the Winter semester, 2022

CSCI 3479.2 TR 5:30pm – 6:45pm ON CAMPUS

CSCI 3479.2R R 4:00pm – 5:15pm ON CAMPUS

The course and recitation are offered as a unit. The successful candidate will be required to hold office hours and will invigilate and mark midterm and final examinations.

The stipend* for CSCI 3479.2 is $4852.00 – $6137.50 (depending on experience at Saint Mary’s). The stipend* for the CSCI3479.2 recitation is $2426.00 – $3068.75 (depending on experience at Saint Mary’s).

The Department requires the following qualification and experience:

Minimum Master’s Degree in Computing Science.

Successful experience teaching Introduction to Virtual and Augmented Reality at the University level.

Applications are invited in the first instance from part-time faculty colleagues who are on the Precedence List.

Send your application to: ptpositionsCS@cs.smu.ca

If you have never taught at Saint Mary’s,

Send:

-An up-to-date Curriculum Vitae

-University transcripts and Proof of Degrees

(e.g. photocopies of certificates)

AND

Have sent:

-Two (2) letters of reference.

 

*The stipend is subject to the current collective agreement between CUPE and Saint Mary’s University

Applications should be received no later than December 1, 2021

 

Department of Mathematics and Computing Science

PART-TIME POSITIONS

WINTER TERM 2022

CSCI 1227.2A and B + CSCI 1227.2 LABS B, C, and D

(Computer Programming & Problem Solving)

The Department of Mathematics & Computing Science is seeking to staff the following courses and labs for the winter session, 2022.

CSCI 1227.2B TR 8:30am – 9:45am – ON CAMPUS

CSCI 1227.2C TR 1:00pm – 2:15pm – ON CAMPUS

CSCI 1227.2LB F 8:30am – 11:29am – ON CAMPUS

CSCI 1227.2LC F 11:30am – 2:29am – ON CAMPUS

CSCI 1227.2LD F 2:30pm – 5:29pm – ON CAMPUS

The course and labs are offered as units: preference will be given to instructors willing to teach one of the lecture sections and one or more of the labs. The successful candidate(s) will be required to hold office hours and invigilate and mark midterm and final examinations.

The stipend* for each of the CSCI 1227.2 lectures is $4852.00 – $6137.50 (depending on experience at Saint Mary’s). The stipend for each of the CSCI 1227.2 Labs is $2426.00 – $3068.75 (depending on experience at Saint Mary’s).

The Department requires the following qualification and experience:

Minimum Master’s Degree in Computing Science.

Successful experience teaching Introductory Computing Science at the University level in Python.

Applications are invited in the first instance from part-time faculty colleagues who are on the Precedence List.

Send your application to:  ptpositionsCS@cs.smu.ca

If you have never taught at Saint Mary’s,

Send:

-An up-to-date Curriculum Vitae

-University transcripts and Proof of Degrees

(e.g. photocopies of certificates)

AND

Have sent:

-Two (2) letters of reference.

*The stipend is subject to the current collective agreement between CUPE and Saint Mary’s University

Applications should be received no later than December 1, 2021

Department of Mathematics and Computing Science

PART-TIME POSITIONS

WINTER TERM 2022

CSCI 2307.2 RECITAIONS A and B

(Theoretical Foundations of Computing Science)

The Department of Mathematics & Computing Science is seeking to staff the following recitations for the Winter semester, 2022

CSCI 2307.2RA F 10:00am – 11:15am ON CAMPUS

CSCI 2307.2RB F 11:30am – 12:15pm ON CAMPUS

The recitations are offered as a unit. The successful candidate will be required to hold office hours and will invigilate and mark midterm and final examinations.

The stipend* for each CSCI 2307.2 recitation is $2426.00 – $3068.75 (depending on experience at Saint Mary’s).

The Department requires the following qualification and experience:

Minimum Master’s Degree in Computing Science.

Successful experience teaching Theoretical Foundations of Computing Science at the University level.

Applications are invited in the first instance from part-time faculty colleagues who are on the Precedence List.

Send your application to: ptpositionsCS@cs.smu.ca

If you have never taught at Saint Mary’s,

Send:

-An up-to-date Curriculum Vitae

-University transcripts and Proof of Degrees

(e.g. photocopies of certificates)

AND

Have sent:

-Two (2) letters of reference.

*The stipend is subject to the current collective agreement between CUPE and Saint Mary’s University

Applications should be received no later than December 1, 2021

 
MSVU

———————————————-
Department/Faculty: Mathematics
Course Name: LAB: Intro to Statistics II
Course Code: MATH 209D DL
Academic Term: Winter
Class Timetable: TH 6:30PM – 7:45PM Synchronous Online

Course Unit Value: 0.125
—————————————————
Start Date: 1/5/2022
End Date: 4/22/2022
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field related to Statistics. The candidate must have completed at least one unit of coursework in Statistics.In addition, experience teaching similar introductory statistics labs to non-science majors and experience with the use of MINITAB for data analysis is required.Candidates must also have experience using the Blackboard/Collaborate
virtual classroom. Candidates must be willing to participate in additional training in the optimum range of teaching operations in the Moodle LMS and in the Collaborate virtual classroom, if necessary, to reach the required level of competency before the course begins. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
Synchronous and asynchronous discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking, distribution of student evaluation questionnaires, involvement in student appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Statistics Laboratory Instructor. The lab instructor is required to follow the course syllabus and guidelines
for lab assignments and grading.Email messages from students received outside the scheduled laboratory time should be answered with reasonable promptness.Due to distance, the mailing of materials may extend beyond the traditional time frames.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.caApplication deadline: 11/17/2021
—————————————————

———————————————– 
Department/Faculty: Mathematics
Course Name: LAB: Intro to Statistics II
Course Code: MATH 209D DK
Academic Term: Winter
Class Timetable: W 9:30PM – 10:45PM Synchronous Online
Course Unit Value: 0.125
—————————————————
Start Date: 1/5/2022
End Date: 4/22/2022
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field related to Statistics. The candidate must have completed at least one unit of coursework in Statistics.

In addition, experience teaching similar introductory statistics labs to non-science majors and experience with the use of MINITAB for data analysis is required.

Candidates must also have experience using the Blackboard/Collaborate
virtual classroom. Candidates must be willing to participate in additional training in the optimum range of teaching operations in the Moodle LMS and in the Collaborate virtual classroom, if necessary, to reach the required level of competency before the course begins. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
Synchronous and asynchronous discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Statistics Laboratory Instructor. The lab instructor is required to follow the course syllabus and guidelines for lab assignments and grading.

Email messages from students received outside the scheduled laboratory time should be answered with reasonable promptness.

Due to distance, the mailing of materials may extend beyond the traditional time frames.

—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.caApplication deadline: 11/17/2021
—————————————————

————————————————–
Department/Faculty: Mathematics
Course Name: Introduction to Statistics II
Course Code: MATH 2209 38
Academic Term: Winter
Class Timetable: T 8:00PM – 10:00PM Synchronous Online
Course Unit Value: 0.5
—————————————————
Start Date: 1/5/2022
End Date: 4/22/2022
—————————————————
Qualifications:
Qualifications: PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a Masters degree in a field related to Statistics with at least one unit of advanced coursework in Statistics.

In addition, experience teaching similar introductory statistics to
non-science majors and experience with the use of MINITAB for data analysis is required.

Candidates must also have experience using the Blackboard/Collaborate
virtual classroom. Candidates must be willing to participate in additional training in the optimum range of teaching operations in the Moodle LMS and in the Collaborate virtual classroom, if necessary, to reach the required level of competency before the course begins. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
Synchronous and asynchronous discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking, distribution of student evaluation questionnaires, involvement in student appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
This is a coordinated course with a laboratory component. The laboratory components are taught by the laboratory instructor.  Instructors are
required to follow the common course syllabus and guidelines for assignments, midterm and final exams, and grades.

Due to distance, the mailing of materials may extend beyond the traditional time frames of the course.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.ca

Application deadline: 11/17/2021
—————————————————
SMU

Department of Mathematics and Computing Science

PART-TIME POSITIONS

WINTER TERM 2022

MATH2301.2YA & Recitations                        

(Applied Linear Algebra)

The Department of Mathematics & Computing Science is seeking to staff the following courses for the Winter session, 2022: January 10 – April 26, 2022:

MATH2301.2YA T 4:30pm – 7:15pm Remote Delivery

MATH2301.2YR T 7:30pm – 8:45pm Remote Delivery

Preference will be given to instructors with K12 experience and/or teaching Applied Linear Algebra at the University level.

The course and recitation are offered as a unit: preference will be given to instructors willing to teach the Recitation as well as the course. All instruction will be delivered remotely (online, synchronously) and applicants are expected to have access to sufficient technological resources – including internet connectivity and a webcam or similar equipment – to make this feasible.  The successful candidate will be required to be available for office hours and grade major assessments (e.g. midterm and final examination).

The stipend* for MATH2301.2YA is $4852.00 – $6137.50 (depending on experience at Saint Mary’s). The stipend* for the MATH2301.2 Recitation is $2426.00 – $3068.75 (depending on experience at Saint Mary’s).

The Department requires the following qualification and experience:

Minimum Master’s Degree in Mathematics or Mathematics Education

Applications are invited in the first instance from part-time faculty colleagues who are on the Precedence List.

Send your application electronically to:    ptpositionsmath@cs.smu.ca

If you have never taught at Saint Mary’s,

Send:

-An up-to-date Curriculum Vitae

-University transcripts and Proof of Degrees

(e.g. photocopies of certificates)

AND

Have sent:

-Two (2) letters of reference.

*The stipend is subject to the current negotiations between CUPE and Saint Mary’s University

Applications should be received no later than October 20, 2020

 

 

CUPE 3912 Job Posting for Part-Time Instructor

Course: MCDA 5550

Web, Mobile, and Cloud Application Development

Department: M.Sc. in Computing and Data Analytics, Faculty of Science

Semester: Jan-Apr 2022

Schedule: Lectures Saturday 10:00am – 12:45pm 

Academic Calendar Description:

Students develop applications that are accessible through the internet on a variety of platforms including cloud environments and mobile devices. An emphasis is placed on designing and deploying mobile applications; push technology; data structures and memory management; interface design; Scalable Vector Graphics (SVG); cloud computing; and privacy/security.

Qualifications:

  • Minimum Master’s Degree 
  • 5-10 years of experience in managing software development across platforms including Web, Mobile, and Cloud Computing.
  • Experience working within an industry context. 

Duties:

Duties include course/lecture preparation/delivery; in-class teaching; preparation and evaluation of all student assessments.  The successful candidate will be required to hold office hours and collaborate with M.Sc. CDA faculty and industry professors. 

Remuneration: 

Remuneration is in accordance with the Collective Agreement between Saint Mary’s University and CUPE 3912

 

How to Apply: 

Applications are invited in the first instance from part-time faculty colleagues on the Saint Mary’s precedence list. Applicants who currently hold a part-time teaching appointment at Saint Mary’s University should submit a cover letter and a C.V. Applicants who do not currently hold a part-time teaching appointment at Saint Mary’s University should submit a complete application (including a cover letter, CV, proof of academic credentials, name and contact information of three referees, and any evidence of teaching effectiveness).

 

Submissions are made as a single PDF file sent directly via email to: msc.cda@smu.ca 

 

Application deadline: November 01, 2021

 

Saint Mary’s University hires on the basis of merit and is committed to the principles of employment equity. Saint Mary’s University encourages applications from qualified women, visible minorities, Aboriginal people, and people with disabilities. Preference will be given to Canadian citizens and permanent residents of Canada.

 

CUPE 3912 Job Posting for Part-Time Instructor

Course: MCDA 5570

Big Data and Information Technology Management

Department: M.Sc. in Computing and Data Analytics, Faculty of Science

Semester: Jan-Apr 2022

Schedule: Lectures Tuesday 5:30-6:45pm 

Academic Calendar Description:

Students are provided with processes, models, and frameworks to develop organizational IT strategy in the context of big data. Students focus on leading software and hardware platforms, business software applications and their strategy maps (CRM, ERP, supply chain management, product lifecycle management. Technology adoption, emerging technologies, and diffusion of innovations are covered. 

Qualifications:

  • Minimum Master’s Degree 
  • 5-10 years of experience in managing computing hardware and software, including Hadoop, Spark, cloud Computing, general system administration, hardware and software acquisition, setting up servers, networks, web services, SQL server, NoSQL server such as Mongo DB, server-side web programming services including PHP and node.js, creating and managing desktop images in a lab environment.
  • Experience working within an industry context.

Duties:

Duties include course/lecture preparation/delivery; in-class teaching; preparation and evaluation of all student assessments.  The successful candidate will be required to hold office hours and collaborate with M.Sc. CDA faculty and industry professors. 

Remuneration: 

Remuneration is in accordance with the Collective Agreement between Saint Mary’s University and CUPE 3912

 

How to Apply: 

Applications are invited in the first instance from part-time faculty colleagues on the Saint Mary’s precedence list. Applicants who currently hold a part-time teaching appointment at Saint Mary’s University should submit a cover letter and a C.V. Applicants who do not currently hold a part-time teaching appointment at Saint Mary’s University should submit a complete application (including a cover letter, CV, proof of academic credentials, name and contact information of three referees, and any evidence of teaching effectiveness).

 

Submissions are made as a single PDF file sent directly via email to: msc.cda@smu.ca 

Application deadline: November 01, 2021

Saint Mary’s University hires on the basis of merit and is committed to the principles of employment equity. Saint Mary’s University encourages applications from qualified women, visible minorities, Aboriginal people, and people with disabilities. Preference will be given to Canadian citizens and permanent residents of Canada.

 

 

SMU

Department of Mathematics and Computing Science 

PART-TIME POSITIONS 

FALL TERM 2021 

CSCI1226.1YA + Rec. 

(Introduction to Computing Science & Programming) 

The Department of Mathematics & Computing Science is seeking to staff the following course and  associated Rec. for the Fall semester, 2021. 

CSCI1226.1YA T 4:30pm – 7:15pm REMOTE 

CSCI1226.1RY T 7:30pm – 8:45pm REMOTE 

The successful candidate will be required to hold office hours, and will invigilate and mark midterm and  final examinations. 

The stipend* for CSCI1226.1YA is $4852.00 – $6137.50 (depending on experience at Saint Mary’s).  The stipend for the CSCI1226.1YR Rec. is $2426.00 – $3068.75 (depending on experience at Saint  Mary’s). 

The Department requires the following qualification and experience: 

Minimum Master’s Degree in Computing Science. 

Successful experience teaching Introductory Computing Science  

at the University level in Java. 

Applications are invited in the first instance from part-time faculty colleagues who are on the  Precedence List. 

Send your application to: 

Part time positions at ptpositions@cs.smu.ca 

Or Department of Mathematics & Computing Science 

Saint Mary’s University 

Halifax, Nova Scotia 

B3H 3C3 

If you have never taught at Saint Mary’s, 

Send: 

-An up-to-date Curriculum Vitae 

-University transcripts and Proof of Degrees 

(e.g. photocopies of certificates) 

AND 

Have sent: 

-Two (2) letters of reference.

*The stipend is subject to the current collective agreement between CUPE and Saint Mary’s University Applications should be received no later than August 14, 2021 

 

Department of Mathematics and Computing Science 

PART-TIME POSITIONS 

FALL TERM 2021 

CSCI1226.1B + CSCI1226.1C + Labs 

(Introduction to Computing Science & Programming) 

The Department of Mathematics and Computing Science is seeking to staff the following courses and  associated labs for the Fall semester, 2021. 

CSCI1226.1B TR 11:30am – 12:45pm ON CAMPUS 

CSCI1226.1C MW 1:00pm – 2:15pm REMOTE 

CSCI1226.1LB W 2:30pm – 3:45pm ON CAMPUS 

CSCI1226.1LD F 2:30pm – 3:45pm ON CAMPUS 

CSCI1226.1LE TR 1:00pm – 2:15pm REMOTE 

CSCI1226.1LF TR 2:30pm – 3:45pm REMOTE 

The successful candidate will be required to hold office hours and will invigilate and mark midterm and  final examinations. 

The stipend* for each of CSCI1226.1B and CSCI1226.1C is $4852.00 – $6137.50 (depending on  experience at Saint Mary’s). The stipend for each CSCI1226.1 Lab is $2426.00 – $3068.75 (depending  on experience at Saint Mary’s). 

The Department requires the following qualification and experience: 

Minimum Master’s Degree in Computing Science. 

Successful experience teaching Introductory Computing Science and Programming at the university level. 

Applications are invited in the first instance from part-time faculty colleagues who are on the  Precedence List. 

Send your application to: 

Part time positions at ptpositions@cs.smu.ca 

If you have never taught at Saint Mary’s, 

Send: 

-An up-to-date Curriculum Vitae 

-University transcripts and Proof of Degrees 

(e.g. photocopies of certificates) 

AND 

Have sent: 

-Two (2) letters of reference.

*The stipend is subject to the current collective agreement between CUPE and Saint Mary’s University Applications should be received no later than August 16, 2021 

 

 

Department of Mathematics and Computing Science 

PART-TIME POSITIONS 

FALL TERM 2021 

CSCI2327.1 + Recitations 

(Digital Logic and Computer Architecture) 

The Department of Mathematics and Computing Science is seeking to staff the following  course and recitations for the Fall semester, 2021. 

CSCI2327.1 TR 2:30pm – 3:45pm ON CAMPUS CSCI2327.1RA T 4:00pm – 5:15pm ON CAMPUS CSCI2327.1RB R 4:00pm – 5:15pm ON CAMPUS 

The course and recitations are offered as a unit: preference will be given to instructors  willing to teach both the course and the recitations. The candidate will be required to hold  office hours and will invigilate and mark the midterm and final examinations. 

The stipend* for the CSCI2327.1 lecture is $4852.00 – $6137.50 (depending on  experience at Saint Mary’s). The stipend* for each CSCI2327 recitation is $2426.00 – $3068.75 (depending on experience at Saint Mary’s). 

The Department requires the following qualification and experience: Minimum Master’s Degree in Computing Science. 

Successful experience teaching Digital Logic and Computer Architecture at the  university level. 

Applications are invited in the first instance from part-time faculty colleagues who are on  the Precedence List. 

Send your application to: 

Part time positions at ptpositions@cs.smu.ca 

If you have never taught at Saint Mary’s, 

Send: 

-An up-to-date Curriculum Vitae 

-University transcripts and Proof of Degrees 

(e.g. photocopies of certificates) 

AND 

Have sent: 

-Two (2) letters of reference.

*The stipend is subject to the current negotiations between CUPE and Saint Mary’s University Applications should be received no later than August 16, 2021 

 

 

DAL
Position Title Part-Time Academic (MATH 1000.03 section 05 – Fall Term of 2021)
Posting Number PTAP975P
Department/Unit Mathematics & Statistics
Location Halifax
Job Summary & Key Responsibilities

The Part-Time Academic will be responsible for teaching section 05 of Differential & Integral Calculus I (MATH 1000.03) in the upcoming fall term (contract dates September 1 to December 31).

The topics to be covered in the course are available from the Department Chair. Course descriptions are provided in the Undergraduate Calendar published online ( https://academiccalendar.dal.ca ) by the Registrar’s Office, Dalhousie University.

Please see the academic timetable ( www.dal.ca/timetable ) for the days, times & location(s) of this course. Please note this section of the course is expected to be delivered in-person.
Qualifications/Requirements of Position

A combination of M.Sc. degree in Mathematics or Statistics and previous teaching experience is required. Completion of a PhD or PhD in progress is considered an asset. The successful applicant must have demonstrated knowledge of the subject matter. Experience teaching large classes or direct experience of teaching this class is considered an asset.

Please provide teaching evaluations if available.
Salary Range/Pay Rate Per CUPE Collective Agreement – Local 3912
Additional Information
All offers of employment as a Part-Time Academic are conditional upon sufficient student enrolment in the course and approval by the University. Dalhousie University is committed to fostering a collegial culture grounded in diversity and inclusiveness. The university encourages applications from Aboriginal people, persons with a disability, racially visible persons, women, persons of minority sexual orientations and gender identities, and all candidates who would contribute to the diversity of our community.
Term of appointment September 1, 2021 to December 31, 2021
Open Date 07/30/2021
Close Date 08/08/2021
Open Until Filled
Quick Link for Direct Access to Posting http://dal.peopleadmin.ca/postings/7220

Documents Needed to Apply

Required Documents

  1. Cover Letter
  2. Résumé / Curriculum Vitae (CV)
  3. List of referees

Optional Documents

  1. Teaching Dossier

 

SMU

Department of Mathematics and Computing Science 

PART-TIME POSITIONS 

FALL TERM 2021 

MATH1190.1 RECS A & B 

(Fundamental Mathematics) 

The Department of Mathematics & Computing Science is seeking to staff the following recitations for  the Fall session, 2021. 

MATH1190.1RA F 10:00am – 11:15am – ON CAMPUS 

MATH1190.1RB F 11:30am – 12:45pm – ON CAMPUS 

The successful candidate(s) will be required to hold office hours and grade major assessments such as  midterm and final examinations. 

The stipend* for MATH1190.1A is $4852.00 – $6137.50 (depending on experience at Saint Mary’s).  The stipend* for the MATH1190.1 Recitations is $2426.00 – $3068.75 (depending on experience at  Saint Mary’s). 

The Department requires the following qualification and experience: 

Minimum Master’s Degree in Mathematics or Mathematics Education 

Successful experience teaching Calculus or Pre-Calculus at the University level. 

Applications are invited in the first instance from part-time faculty colleagues who are on the  Precedence List. 

Send your application to: 

Part time positions at ptpositions@cs.smu.ca 

If you have never taught at Saint Mary’s, 

Send: 

-An up-to-date Curriculum Vitae 

-University transcripts and Proof of Degrees 

(e.g. photocopies of certificates) 

AND 

Have sent: 

-Two (2) letters of reference.

*The stipend is subject to the current negotiations between CUPE and Saint Mary’s University 

Applications should be received no later than August 8, 2021 

 

Department of Mathematics and Computing Science 

PART-TIME POSITIONS 

FALL TERM 2021 

MATH1190.1B & REC. E 

(Fundamental Mathematics) 

The Department of Mathematics & Computing Science is seeking to staff the following course and  recitation for the Fall session, 2021. 

MATH1190.1B TR 08:30am – 09:45am – REMOTE 

MATH1190.1RE R 01:00pm – 02:15pm – REMOTE 

The course and recitation are offered as a unit. All instruction will be delivered (remotely) and the  applicant is expected to have access to sufficient technological resources for on-line course and  recitation – including internet connectivity and a webcam or similar equipment – to make this feasible. The successful candidate(s) will be required to hold office hours and grade major assessments such as  midterm and final examinations. 

The stipend* for MATH1190.1B is $4852.00 – $6137.50 (depending on experience at Saint Mary’s).  The stipend* for the MATH1190.1 Recitation E is $2426.00 – $3068.75 (depending on experience at  Saint Mary’s). 

The Department requires the following qualification and experience: 

Minimum Master’s Degree in Mathematics or Mathematics Education 

Successful experience teaching Calculus or Pre-Calculus at the University level. 

Applications are invited in the first instance from part-time faculty colleagues who are on the  Precedence List. 

Send your application to: 

Part time positions at ptpositions@cs.smu.ca 

If you have never taught at Saint Mary’s, 

Send: 

-An up-to-date Curriculum Vitae 

-University transcripts and Proof of Degrees 

(e.g. photocopies of certificates) 

AND 

Have sent: 

-Two (2) letters of reference.

*The stipend is subject to the current negotiations between CUPE and Saint Mary’s University 

Applications should be received no later than August 8, 2021 

 

Department of Mathematics and Computing Science 

PART-TIME POSITIONS 

FALL TERM 2021 

MATH1210.1B & Recs. B & D 

(Introductory Calculus I) 

The Department of Mathematics & Computing Science is seeking to staff the following course and recitations for the  fall semester, 2021. 

MATH1210.1B TR 8:30am – 9:45am ON CAMPUS 

MATH1210.1RB F 10:00am – 11:15am ON CAMPUS 

MATH1210.1RD F 11:30am – 12:45pm ON CAMPUS 

The course and recitations are offered as a unit. The successful applicant will be required to maintain reasonable  contact with students and to grade all major assessments (e.g. midterm and final examinations). The successful  applicant will work in close cooperation with the MATH1210.1A instructor. 

The stipend* for MATH1210.1B is $4852.00 – $6137.50 (depending on experience at Saint Mary’s). The stipend* for  each MATH1210.1 Recitations is $2426.00 – $3068.75 (depending on experience at Saint Mary’s). 

The Department requires the following qualification and experience: 

Minimum Master’s Degree in Mathematics or Mathematics Education 

Successful experience teaching Calculus at the University Level. 

Applications are invited in the first instance from part-time faculty colleagues who are on the Precedence List. Send your application to: 

Part time positions at ptpositions@cs.smu.ca 

If you have never taught at Saint Mary’s, 

Send: 

-An up-to-date Curriculum Vitae 

-University transcripts and Proof of Degrees 

(e.g. photocopies of certificates) 

AND 

Have sent: 

-Two (2) letters of reference.

*The stipend is subject to the current negotiations between CUPE and Saint Mary’s University 

Applications should be received no later than August 8, 2021 

 

Department of Mathematics and Computing Science 

PART-TIME POSITIONS 

FALL TERM 2021 

MATH1202.1 & Recitation B 

(Concepts & Topics in Math) 

The Department of Mathematics & Computing Science is seeking to staff the following course and recitation for the fall semester, 2021. 

MATH1202.1 MW 5:30pm – 6:45pm ON CAMPUS 

MATH1202.1RB W 7:00pm – 8:15pm ON CAMPUS 

Preference will be given to instructors with K12 classroom teaching experience.  

The course and recitation are offered as a unit. The successful applicant will be required to maintain reasonable  contact with students and to grade all major assessments (e.g. midterm and final examinations). 

The stipend* for MATH1202.1 is $4852.00 – $6137.50 (depending on experience at Saint Mary’s). The  stipend* for MATH1202.1 Recitation B is $2426.00 – $3068.75 (depending on experience at Saint Mary’s). 

The Department requires the following qualification and experience: 

Minimum Master’s Degree in Mathematics or Mathematics Education 

Successful experience teaching a similar course at the University level. 

Applications are invited in the first instance from part-time faculty colleagues who are on the Precedence List. Send your application to: 

Part time positions at ptpositions@cs.smu.ca 

If you have never taught at Saint Mary’s, 

Send: 

-An up-to-date Curriculum Vitae 

-University transcripts and Proof of Degrees 

(e.g. photocopies of certificates) 

AND 

Have sent: 

-Two (2) letters of reference.

*The stipend is subject to the current negotiations between CUPE and Saint Mary’s University 

Applications should be received no later than August 8, 2021 

 

Department of Mathematics and Computing Science 

PART-TIME POSITIONS 

FALL TERM 2021 

MATH1210.1 Recitations 

(Introductory Calculus I) 

The Department of Mathematics & Computing Science is seeking to staff the following recitations for the fall semester, 2021. 

MATH1210.1RF F 1:00pm – 2:15pm ON CAMPUS 

MATH1210.1RH R 6:00pm – 7:15pm ON CAMPUS 

MATH1210.1RI R 2:30pm – 3:45pm ON CAMPUS 

All recitation instructors will be required to maintain reasonable contact with students and to grade all major  assessments (e.g. midterm and final examinations). 

The stipend* for each MATH1210.1 Recitations are $2426.00 – $3068.75 (depending on experience at Saint Mary’s). The Department requires the following qualification and experience: 

Minimum Master’s Degree in Mathematics or Mathematics Education 

Successful experience teaching Calculus. 

Applications are invited in the first instance from part-time faculty colleagues who are on the Precedence List. Send your application to: 

Part time positions at ptpositions@cs.smu.ca 

If you have never taught at Saint Mary’s, 

Send: 

-An up-to-date Curriculum Vitae 

-University transcripts and Proof of Degrees 

(e.g. photocopies of certificates) 

AND 

Have sent: 

-Two (2) letters of reference.

*The stipend is subject to the current negotiations between CUPE and Saint Mary’s University 

Applications should be received no later than August 8, 2021 

 

Department of Mathematics and Computing Science 

PART-TIME POSITIONS 

FALL TERM 2021 

MATH1250.1 Recitation 

(Calculus for Life Science I) 

The Department of Mathematics & Computing Science is seeking to staff the following  recitation for the Fall semester, 2021. 

MATH1250.1RB F 10:00am – 11:15am ON CAMPUS 

The successful candidate will be required to hold office hours, and will invigilate and  mark pre-tests, midterms and final examinations. 

The stipend* for the MATH1250.1 Recitation is $2426.00 – $3068.75 (depending on  experience at Saint Mary’s). 

The Department requires the following qualification and experience: Minimum Master’s Degree in Mathematics or Mathematics Education Successful experience teaching Calculus at the University level. 

Applications are invited in the first instance from part-time faculty colleagues who are on  the Precedence List. 

Send your application to: 

Part time positions at ptpositions@cs.smu.ca 

If you have never taught at Saint Mary’s, 

Send: 

-An up-to-date Curriculum Vitae 

-University transcripts and Proof of Degrees 

(e.g. photocopies of certificates) 

AND 

Have sent: 

-Two (2) letters of reference.

*The stipend is subject to the current negotiations between CUPE and Saint Mary’s University Applications should be received no later than August 8, 2021 

 

Department of Mathematics and Computing Science 

PART-TIME POSITIONS 

FALL TERM 2021 

MATH2311.1B & Recs. 

(Intermediate Calculus) 

The Department of Mathematics & Computing Science is seeking to staff the following course and  recitations for the Fall semester, 2021: 

MATH2311.1B TBA REMOTE  

MATH2311.1RC F 10:00am – 11:15am REMOTE 

MATH2311.1RD F 11:30am – 12:45pm REMOTE 

The course and recitations are offered as a unit. All instruction will be delivered (remotely) and the  applicant is expected to have access to sufficient technological resources for on-line course and  recitation – including internet connectivity and a webcam or similar equipment – to make this  feasible. The successful candidate(s) will be required to hold office hours and grade  major assessments such as midterm and final examinations. 

The stipend* for MATH2311.1B is $4852.00 – $6137.50 (depending on experience at Saint Mary’s). The  stipend* for the MATH2311.1 Recitations are $2426.00 – $3068.75 (depending on experience at  Saint Mary’s). 

The Department requires the following qualification and experience: 

PHD required for Lecture, MSc in Math oriented subject for Recitation. 

Successful experience teaching Intermediate Calculus at the University level. 

Applications are invited in the first instance from part-time faculty colleagues who are on the  Precedence List. 

Send your application to: 

Part time positions at ptpositions@cs.smu.ca 

If you have never taught at Saint Mary’s, 

Send: 

-An up-to-date Curriculum Vitae 

-University transcripts and Proof of Degrees 

(e.g. photocopies of certificates) 

AND 

Have sent: 

-Two (2) letters of reference.

*The stipend is subject to the current negotiations between CUPE and Saint Mary’s University Applications should be received no later than August 8, 2021 

 

 

Department of Mathematics and Computing Science 

PART-TIME POSITIONS 

FALL TERM 2021 

CSCI3832.1  

(Game Design & Development) 

The Department of Mathematics & Computing Science is seeking to staff the following  course and recitation for the Fall semester, 2021. 

CSCI3832.1 TR 2:30pm – 3:45pm ON CAMPUS 

CSCI3832.1R R 4:00pm – 5:15pm ON CAMPUS 

The course and recitation are offered as a unit. The successful candidate will be required  to hold office hours and will invigilate and mark midterm and final examinations. 

The stipend* for CSCI3428.1 is $4852.00 – $6137.50 (depending on experience at Saint  Mary’s). The stipend* for the CSCI3832.1R recitation is $2426.00 – $3068.75 (depending  on experience at Saint Mary’s). 

The Department requires the following qualification and experience: Minimum Master’s Degree in Computing Science. 

Successful experience teaching Game Design and Development at the University level. 

Applications are invited in the first instance from part-time faculty colleagues who are on  the Precedence List. 

Send your application to: 

Part time positions at ptpositions@cs.smu.ca 

If you have never taught at Saint Mary’s, 

Send: 

-An up-to-date Curriculum Vitae 

-University transcripts and Proof of Degrees 

(e.g. photocopies of certificates) 

AND 

Have sent: 

-Two (2) letters of reference.

*The stipend is subject to the current collective agreement between CUPE and Saint Mary’s University Applications should be received no later than July 30, 2021 

 

Department of Mathematics and Computing Science 

PART-TIME POSITIONS 

FALL TERM 2021 

CSCI3430.1 + Recitation 

(Principles of Programming Languages) 

The Department of Mathematics & Computing Science is seeking to staff the following  course and recitations for the Fall semester, 2021 

CSCI3430.1 TR 5:30pm – 6:45pm ON CAMPUS CSCI3430.1RA T 7:00pm – 8:15pm ON CAMPUS CSCI3430.1RB R 7:00pm – 8:15pm ON CAMPUS 

The course and recitations are offered as a unit. The successful candidate will be required  to hold office hours and will invigilate and mark midterm and final examinations. 

The stipend* for CSCI3430.1 is $4852.00 – $6137.50 (depending on experience at Saint  Mary’s). The stipend* for the CSCI3430.1 Recs. is $2426.00 – $3068.75 (depending on  experience at Saint Mary’s). 

The Department requires the following qualification and experience: Minimum Master’s Degree in Computing Science. 

Successful experience teaching Principles of Programming Languages at the University level. 

Applications are invited in the first instance from part-time faculty colleagues who are on  the Precedence List. 

Send your application to: 

Part time positions at ptpositions@cs.smu.ca 

If you have never taught at Saint Mary’s, 

Send: 

-An up-to-date Curriculum Vitae 

-University transcripts and Proof of Degrees 

(e.g. photocopies of certificates) 

AND 

Have sent: 

-Two (2) letters of reference.

*The stipend is subject to the current collective agreement between CUPE and Saint Mary’s University Applications should be received no later than July 30, 2021 

 

 

Department of Mathematics and Computing Science 

PART-TIME POSITIONS 

FALL TERM 2021 

CSCI/MATH 2308.1 & Recitation 

(Intro to Numerical Analysis ) 

The Department of Mathematics & Computing Science is seeking to staff the following course and  recitation for the Fall semester, 2021. 

CSCI/MATH2308.1 MW 4:00pm –5:15pm ON CAMPUS 

CSCI/MATH2308.1RA F 11:30am –12:45pm ON CAMPUS 

The course and recitations are offered as a unit. The successful candidate will be required to hold office  hours and will invigilate and mark midterm and final examinations. 

The stipend* for CSCI/MATH2308.1 is $4852.00 – $6137.50 (depending on experience at Saint  Mary’s). The stipend* for the CSCI/MATH2308.1 Recitation is $2426.00 – $3068.75 (depending on  experience at Saint Mary’s). 

The Department requires the following qualification and experience: 

Minimum Master’s Degree in Mathematics 

Successful experience teaching Numerical Analysis at the University level. 

Applications are invited in the first instance from part-time faculty colleagues who are on the  Precedence List. 

Send your application to: 

Part time positions at ptpositions@cs.smu.ca 

If you have never taught at Saint Mary’s, 

Send: 

-An up-to-date Curriculum Vitae 

-University transcripts and Proof of Degrees 

(e.g. photocopies of certificates) 

AND 

Have sent: 

-Two (2) letters of reference.

*The stipend is subject to the current negotiations between CUPE and Saint Mary’s University 

Applications should be received no later than July 30, 2021

MSVU

———————————————-
Department/Faculty: Mathematics
Course Name: LAB: Intro to Statistics II
Course Code: MATH 209L LJ (2nd posting)
Academic Term: Winter
Class Timetable: TH 4:30PM – 5:45PM On-campus

Course Unit Value: 0.125
—————————————————
Start Date: 1/5/2022
End Date: 4/22/2022
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics.In addition, experience teaching similar introductory statistics labs to
non-science majors and experience with the use of MINITAB for data
analysis is required.Please note that in the event that it is required that this on campus
course be moved online candidates must have experience and be prepared to
teach using the Blackboard/Collaborate virtual classroom. Candidates must
be willing to participate in additional training in the optimum range of
teaching operations in the Moodle LMS and in the Collaborate virtual
classroom, if necessary, to reach the required level of competency before
the course begins. Candidates must also be sensitive to the needs of
distant, mature and part-time learners. Synchronous and asynchronous
discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Statistics Laboratory Instructor. The
lab instructor is required to follow the course syllabus and guidelines
for lab assignments and grading.Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.caApplication deadline: 8/11/2021
—————————————————

 

———————————————
Department/Faculty: Mathematics
Course Name: LAB: Intro to Statistics II
Course Code: MATH 209L LI (2nd posting)
Academic Term: Winter
Class Timetable: TH 3:00PM – 4:15PM On-campus

Course Unit Value: 0.125
—————————————————
Start Date: 1/5/2022
End Date: 4/22/2022
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics.In addition, experience teaching similar introductory statistics labs to
non-science majors and experience with the use of MINITAB for data
analysis is required.Please note that in the event that it is required that this on campus
course be moved online candidates must have experience and be prepared to
teach using the Blackboard/Collaborate virtual classroom. Candidates must
be willing to participate in additional training in the optimum range of
teaching operations in the Moodle LMS and in the Collaborate virtual
classroom, if necessary, to reach the required level of competency before
the course begins. Candidates must also be sensitive to the needs of
distant, mature and part-time learners. Synchronous and asynchronous
discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Statistics Laboratory Instructor. The
lab instructor is required to follow the course syllabus and guidelines
for lab assignments and grading.Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.caApplication deadline: 8/11/2021
—————————————————

 

————————————————-
Department/Faculty: Mathematics
Course Name: LAB: Intro to Statistics II
Course Code: MATH 209L LH (2nd posting)
Academic Term: Winter
Class Timetable: TH 1:30PM – 2:45PM On-campus

Course Unit Value: 0.125
—————————————————
Start Date: 1/5/2022
End Date: 4/22/2022
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics.In addition, experience teaching similar introductory statistics labs to
non-science majors and experience with the use of MINITAB for data
analysis is required.Please note that in the event that it is required that this on campus
course be moved online candidates must have experience and be prepared to
teach using the Blackboard/Collaborate virtual classroom. Candidates must
be willing to participate in additional training in the optimum range of
teaching operations in the Moodle LMS and in the Collaborate virtual
classroom, if necessary, to reach the required level of competency before
the course begins. Candidates must also be sensitive to the needs of
distant, mature and part-time learners. Synchronous and asynchronous
discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Statistics Laboratory Instructor. The
lab instructor is required to follow the course syllabus and guidelines
for lab assignments and grading.Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.caApplication deadline: 8/11/2021
—————————————————

 

———————————————-
Department/Faculty: Mathematics
Course Name: LAB: Intro to Statistics II
Course Code: MATH 209L LG (2nd posting)
Academic Term: Winter
Class Timetable: W 3:00PM – 4:15PM On-campus
Course Unit Value: 0.125
—————————————————
Start Date: 1/5/2022
End Date: 4/22/2022

—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics.In addition, experience teaching similar introductory statistics labs to
non-science majors and experience with the use of MINITAB for data
analysis is required.Please note that in the event that it is required that this on campus
course be moved online candidates must have experience and be prepared to
teach using the Blackboard/Collaborate virtual classroom. Candidates must
be willing to participate in additional training in the optimum range of
teaching operations in the Moodle LMS and in the Collaborate virtual
classroom, if necessary, to reach the required level of competency before
the course begins. Candidates must also be sensitive to the needs of
distant, mature and part-time learners. Synchronous and asynchronous
discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Statistics Laboratory Instructor. The
lab instructor is required to follow the course syllabus and guidelines
for lab assignments and grading.Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.ca

Application deadline: 8/11/2021
—————————————————

 

————————————————
Department/Faculty: Mathematics
Course Name: LAB: Intro to Statistics I
Course Code: MATH 208L LI (2nd posting)
Academic Term: Fall
Class Timetable: TH 04:30PM – 05:45PM On-campus

Course Unit Value: 0.125
—————————————————
Start Date: 9/8/2021
End Date: 12/18/2021
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics.In addition, experience teaching similar introductory statistics labs to
non-science majors and experience with the use of MINITAB for data
analysis is required.Please note that in the event that it is required that this on campus
course be moved online candidates must have experience and be prepared to
teach using the Blackboard/Collaborate virtual classroom. Candidates must
be willing to participate in additional training in the optimum range of
teaching operations in the Moodle LMS and in the Collaborate virtual
classroom, if necessary, to reach the required level of competency before
the course begins. Candidates must also be sensitive to the needs of
distant, mature and part-time learners. Synchronous and asynchronous
discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Statistics Laboratory Instructor. The
lab instructor is required to follow the course syllabus and guidelines
for lab assignments and grading.Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.caApplication deadline: 7/27/2021
—————————————————

 

————————————————–
Department/Faculty: Mathematics
Course Name: LAB: Intro to Statistics I
Course Code: MATH 208L LF (2nd posting)
Academic Term: Fall
Class Timetable: W 3:00PM – 4:15PM On-campus
Course Unit Value: 0.125
—————————————————
Start Date: 9/8/2021
End Date: 12/18/2021
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics.

In addition, experience teaching similar introductory statistics labs to
non-science majors and experience with the use of MINITAB for data
analysis is required.

Please note that in the event that it is required that this on campus
course be moved online candidates must have experience and be prepared to
teach using the Blackboard/Collaborate virtual classroom. Candidates must
be willing to participate in additional training in the optimum range of
teaching operations in the Moodle LMS and in the Collaborate virtual
classroom, if necessary, to reach the required level of competency before
the course begins. Candidates must also be sensitive to the needs of
distant, mature and part-time learners. Synchronous and asynchronous
discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Statistics Laboratory Instructor. The
lab instructor is required to follow the course syllabus and guidelines
for lab assignments and grading.

Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.ca

Application deadline: 7/27/2021
—————————————————

 

————————————————-
Department/Faculty: Mathematics
Course Name: Stats and Math Prep, Intro to Stats I & Intro to Stats I-LAB
Course Code: MATH 0027 MNFC, MATH 2208 MNFC & MATH 208L MNFC
Academic Term: Fall/Winter
Class Timetable: TTh 1:00-2:15 PM (Fall & Winter) and TTh 2:30-3:45
(Winter)
Course Unit Value: 1.125
—————————————————
Start Date: 9/8/2021
End Date: 4/22/2022
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Mathematics or Statistics.

In addition, experience teaching a similar course to prepare non-science
majors who will be taking further Mathematics and/or Statistics courses is
required. Candidates must also have at least one unit of advanced
coursework in Statistics and experience teaching a similar introductory
statistics course to non-science majors. Experience with using MINITAB for
data analysis is required.

Candidates must also be sensitive to the needs of mature, indigenous and
part-time learners. Prior experience working with the indigenous community
is an asset.

Please note that in the event that it is required that this in-person
course be moved online candidates must have experience and be prepared to
teach using the Blackboard/Collaborate virtual classroom. Candidates must
be willing to participate in additional training in the optimum range of
teaching operations in the Moodle LMS and in the Collaborate virtual
classroom, if necessary, to reach the required level of competency before
the course begins. Synchronous and asynchronous discussions occur during
the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
MATH 2208 is a coordinated course with a laboratory component.
In this situation the preparatory course (MATH 0027), the course MATH 2208
and its accompanying lab will be taught by the same person off campus at
the Friendship Centre in Halifax.  Applicants must be willing to travel to
the Friendship Centre for the course delivery and to provide additional
help outside of lecture hours at this same location in lieu of usual
office hours on campus.

Instructors are required to follow the course syllabus and guidelines for
assignments, midterm and final exams, and grades.

Due to distance, the mailing of materials may extend beyond the
traditional time frames of the course.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.ca

Application deadline: 7/20/2021
—————————————————

DAL
Position Title Part-Time Academic (MATH 1000.03 section 04 – Fall Term of 2021)
Posting Number PTAP885P
Department/Unit Mathematics & Statistics
Location Halifax
Job Summary & Key Responsibilities The Part-Time Academic will be responsible for teaching section 04 of Differential & Integral Calculus I (MATH 1000.03) in the upcoming fall term (contract dates September 1 to December 31).

The topics to be covered in the course are available from the Department Chair. Course descriptions are provided in the Undergraduate Calendar published online ( https://academiccalendar.dal.ca ) by the Registrar’s Office, Dalhousie University.

Please see the academic timetable ( www.dal.ca/timetable ) for the days, times & location(s) of this course. Please note this section of the course is expected to be delivered in-person.
Qualifications/Requirements of Position A combination of M.Sc. degree in Mathematics or Statistics and previous teaching experience is required. Completion of a PhD or PhD in progress is considered an asset. The successful applicant must have demonstrated knowledge of the subject matter. Experience teaching large classes or direct experience of teaching this class is considered an asset.

Please provide teaching evaluations if available.
Salary Range/Pay Rate Per CUPE Collective Agreement – Local 3912
Additional Information All offers of employment as a Part-Time Academic are conditional upon sufficient student enrolment in the course and approval by the University. Dalhousie University is committed to fostering a collegial culture grounded in diversity and inclusiveness. The university encourages applications from Aboriginal people, persons with a disability, racially visible persons, women, persons of minority sexual orientations and gender identities, and all candidates who would contribute to the diversity of our community.
Term of appointment September 1, 2021 to December 31, 2021
Open Date 06/25/2021
Close Date 07/05/2021
Open Until Filled
Quick Link for Direct Access to Posting http://dal.peopleadmin.ca/postings/6822

Documents Needed to Apply

Required Documents

  1. Cover Letter
  2. Résumé / Curriculum Vitae (CV)
  3. List of referees

Optional Documents

  1. Teaching Dossier
Position Title Part-Time Academic (MATH 1010.03 – Winter Term of 2022)
Posting Number PTAP886P
Department/Unit Mathematics & Statistics
Location Halifax
Job Summary & Key Responsibilities The Part-Time Academic will be responsible for teaching Differential & Integral Calculus II (MATH 1010.03, section 03) in the upcoming fall term (contract dates January 1 to April 30).

The topics to be covered in the course are available from the Department Chair. Course descriptions are provided in the Undergraduate Calendar published online ( https://academiccalendar.dal.ca ) by the Registrar’s Office, Dalhousie University.

Please see the academic timetable ( www.dal.ca/timetable ) for the days, times & location(s) of this course. Please note this course is expected to be delivered in-person.
Qualifications/Requirements of Position A combination of a MSc degree in Mathematics or Statistics and previous teaching experience is required. Completion of a PhD or PhD in progress is considered an asset. The successful applicant must have demonstrated knowledge of the subject matter. Experience teaching large classes or direct experience of teaching this class is considered an asset.

Please provide teaching evaluations if available.
Salary Range/Pay Rate Per CUPE Collective Agreement – Local 3912
Additional Information All offers of employment as a Part-Time Academic are conditional upon sufficient student enrolment in the course and approval by the University. Dalhousie University is committed to fostering a collegial culture grounded in diversity and inclusiveness. The university encourages applications from Aboriginal people, persons with a disability, racially visible persons, women, persons of minority sexual orientations and gender identities, and all candidates who would contribute to the diversity of our community.
Term of appointment January 1, 2022 to April 30, 2022
Open Date 06/25/2021
Close Date 07/05/2021
Open Until Filled
Quick Link for Direct Access to Posting http://dal.peopleadmin.ca/postings/6836

Documents Needed to Apply

Required Documents

  1. Cover Letter
  2. Résumé / Curriculum Vitae (CV)
  3. List of referees

Optional Documents

  1. Teaching Dossier
SMU

CUPE 3912 Job Posting for Part-Time Instructor

Course: MCDA 5510

Software Development in Business Environment

Department: M.Sc. in Computing and Data Analytics, Faculty of Science

Semester: September to December 2021

Schedule: Lectures Saturday 10:00am – 12:45pm (tentative)

Academic Calendar Description:

Students study the complete software development process in a business environment, including the system analysis, design, implementation, and testing of software systems. Students will work in teams to develop software systems for business applications using real world methodologies. 

Qualifications:

– Minimum Master’s Degree
– Successful experience teaching Computing Science at the University level
– At least 10 years of software development experience using Java/J2EE and C#/.Net
– Complete familiarity with the latest object-oriented software development methodology
– Experience working within an Industry context 

Duties:

Duties include course/lecture preparation/delivery; in-class teaching; preparation and evaluation of all student assessments.  The successful candidate will be required to hold office hours and collaborate with M.Sc. CDA faculty and industry professors. 

Remuneration: 

Remuneration is in accordance with the Collective Agreement between Saint Mary’s University and CUPE 3912

How to Apply: 

Applications are invited in the first instance from part-time faculty colleagues on the Saint Mary’s precedence list. Applicants who currently hold a part-time teaching appointment at Saint Mary’s University should submit a cover letter and a C.V. Applicants who do not currently hold a part-time teaching appointment at Saint Mary’s University should submit a complete application (including a cover letter, CV, proof of academic credentials, name and contact information of three referees, and any evidence of teaching effectiveness).

Submissions are made as a single PDF file sent directly via email to: msc.cda@smu.ca 

Application deadline: July 25, 2021

Saint Mary’s University hires on the basis of merit and is committed to the principles of employment equity. Saint Mary’s University encourages applications from qualified women, visible minorities, Aboriginal people, and people with disabilities. Preference will be given to Canadian citizens and permanent residents of Canada.

 

DAL
Position Title Part-Time Academic (STAT/MATH 1060.03 – FALL Term of 2021)
Posting Number PTAP831P
Department/Unit Mathematics & Statistics
Location Halifax
Job Summary & Key Responsibilities The Part-Time Academic will be responsible for teaching Introductory Statistics for Science and Health Sciences (STAT/MATH 1060.03, section 02) in the upcoming fall term (contract dates September 1 to December 31).

The topics to be covered in the course are available from the Department Chair. Course descriptions are provided in the Undergraduate Calendar published online ( https://academiccalendar.dal.ca ) by the Registrar’s Office, Dalhousie University.

Please see the academic timetable ( www.dal.ca/timetable ) for the days, times & location(s) of this course. Please note this course is expected to be delivered in-person.
Qualifications/Requirements of Position A M.Sc. degree in Statistics and previous teaching experience are required. Completion of a PhD or PhD in progress is considered an asset. The successful applicant must have demonstrated knowledge of the subject matter and experience teaching large classes. Direct experience of teaching this class is considered an asset.

Please provide teaching evaluations if available.
Salary Range/Pay Rate Per CUPE Collective Agreement – Local 3912
Additional Information All offers of employment as a Part-Time Academic are conditional upon sufficient student enrolment in the course and approval by the University. Dalhousie University is committed to fostering a collegial culture grounded in diversity and inclusiveness. The university encourages applications from Aboriginal people, persons with a disability, racially visible persons, women, persons of minority sexual orientations and gender identities, and all candidates who would contribute to the diversity of our community.
Term of appointment September 1, 2021 to December 31, 2021
Open Date 06/15/2021
Close Date 06/25/2021
Open Until Filled
Quick Link for Direct Access to Posting http://dal.peopleadmin.ca/postings/6627

Documents Needed to Apply

Required Documents

  1. Cover Letter
  2. Résumé / Curriculum Vitae (CV)
  3. List of referees

Optional Documents

  1. Teaching Dossier
Position Title Part-Time Academic (STAT/MATH 2080.03 – FALL Term of 2021)
Posting Number PTAP830P
Department/Unit Mathematics & Statistics
Location Halifax
Job Summary & Key Responsibilities The Part-Time Academic will be responsible for teaching section 01 of Statistical Methods for Data Analysis and Inference
(STAT/MATH 2080.03) in the upcoming fall term (contract dates September 1 to December 31).The topics to be covered in the course are available from the Department Chair. Course descriptions are provided in the Undergraduate Calendar published online ( https://academiccalendar.dal.ca ) by the Registrar’s Office, Dalhousie University.Please see the academic timetable ( www.dal.ca/timetable ) for the days, times & location(s) of this course. Please note this course is expected to be delivered in-person.
Qualifications/Requirements of Position A combination of M.Sc. degree in Statistics and previous teaching experience are required. Completion of a PhD or PhD in progress is considered an asset. The successful applicant must have demonstrated knowledge of the subject matter. Experience teaching large classes or direct experience of teaching this class is considered an asset.

Please provide teaching evaluations if available.
Salary Range/Pay Rate Per CUPE Collective Agreement – Local 3912
Additional Information All offers of employment as a Part-Time Academic are conditional upon sufficient student enrolment in the course and approval by the University. Dalhousie University is committed to fostering a collegial culture grounded in diversity and inclusiveness. The university encourages applications from Aboriginal people, persons with a disability, racially visible persons, women, persons of minority sexual orientations and gender identities, and all candidates who would contribute to the diversity of our community.
Term of appointment September 1, 2021 to December 31, 2021
Open Date 06/15/2021
Close Date 06/25/2021
Open Until Filled
Quick Link for Direct Access to Posting http://dal.peopleadmin.ca/postings/6635

Documents Needed to Apply

Required Documents

  1. Cover Letter
  2. Résumé / Curriculum Vitae (CV)
  3. List of referees

Optional Documents

  1. Teaching Dossier
MSVU

————————————————–
Department/Faculty: Mathematics
Course Name: LAB: Intro to Statistics II
Course Code: MATH 209L LJ
Academic Term: Winter
Class Timetable: TH 4:30PM – 5:45PM On-campus

Course Unit Value: 0.125
—————————————————
Start Date: 1/5/2022
End Date: 4/22/2022
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics.In addition, experience teaching similar introductory statistics labs to
non-science majors and experience with the use of MINITAB for data
analysis is required.Please note that in the event that it is required that this on campus
course be moved online candidates must have experience and be prepared to
teach using the Blackboard/Collaborate virtual classroom. Candidates must
be willing to participate in additional training in the optimum range of
teaching operations in the Moodle LMS and in the Collaborate virtual
classroom, if necessary, to reach the required level of competency before
the course begins. Candidates must also be sensitive to the needs of
distant, mature and part-time learners. Synchronous and asynchronous
discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Statistics Laboratory Instructor. The
lab instructor is required to follow the course syllabus and guidelines
for lab assignments and grading.Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: msvumath@msvu.caApplication deadline: 6/28/2021
—————————————————

————————————————–
Department/Faculty: Mathematics
Course Name: LAB: Intro to Statistics II
Course Code: MATH 209L LI
Academic Term: Winter
Class Timetable: TH 3:00PM – 4:15PM On-campus

Course Unit Value: 0.125
—————————————————
Start Date: 1/5/2022
End Date: 4/22/2022
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics.In addition, experience teaching similar introductory statistics labs to
non-science majors and experience with the use of MINITAB for data
analysis is required.Please note that in the event that it is required that this on campus
course be moved online candidates must have experience and be prepared to
teach using the Blackboard/Collaborate virtual classroom. Candidates must
be willing to participate in additional training in the optimum range of
teaching operations in the Moodle LMS and in the Collaborate virtual
classroom, if necessary, to reach the required level of competency before
the course begins. Candidates must also be sensitive to the needs of
distant, mature and part-time learners. Synchronous and asynchronous
discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Statistics Laboratory Instructor. The
lab instructor is required to follow the course syllabus and guidelines
for lab assignments and grading.Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: msvumath@msvu.caApplication deadline: 6/28/2021
—————————————————

————————————————-
Department/Faculty: Mathematics
Course Name: LAB: Intro to Statistics II
Course Code: MATH 209L LH
Academic Term: Winter
Class Timetable: TH 1:30PM – 2:45PM On-campus

Course Unit Value: 0.125
—————————————————
Start Date: 1/5/2022
End Date: 4/22/2022
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics.In addition, experience teaching similar introductory statistics labs to
non-science majors and experience with the use of MINITAB for data
analysis is required.Please note that in the event that it is required that this on campus
course be moved online candidates must have experience and be prepared to
teach using the Blackboard/Collaborate virtual classroom. Candidates must
be willing to participate in additional training in the optimum range of
teaching operations in the Moodle LMS and in the Collaborate virtual
classroom, if necessary, to reach the required level of competency before
the course begins. Candidates must also be sensitive to the needs of
distant, mature and part-time learners. Synchronous and asynchronous
discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Statistics Laboratory Instructor. The
lab instructor is required to follow the course syllabus and guidelines
for lab assignments and grading.Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: msvumath@msvu.caApplication deadline: 6/28/2021
—————————————————

————————————————-
Department/Faculty: Mathematics
Course Name: LAB: Intro to Statistics II
Course Code: MATH 209L LG
Academic Term: Winter
Class Timetable: W 3:00PM – 4:15PM On-campus
Course Unit Value: 0.125
—————————————————
Start Date: 1/5/2022
End Date: 4/22/2022
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics.

In addition, experience teaching similar introductory statistics labs to
non-science majors and experience with the use of MINITAB for data
analysis is required.

Please note that in the event that it is required that this on campus
course be moved online candidates must have experience and be prepared to
teach using the Blackboard/Collaborate virtual classroom. Candidates must
be willing to participate in additional training in the optimum range of
teaching operations in the Moodle LMS and in the Collaborate virtual
classroom, if necessary, to reach the required level of competency before
the course begins. Candidates must also be sensitive to the needs of
distant, mature and part-time learners. Synchronous and asynchronous
discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Statistics Laboratory Instructor. The
lab instructor is required to follow the course syllabus and guidelines
for lab assignments and grading.

Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness.

—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: msvumath@msvu.caApplication deadline: 6/28/2021
—————————————————

—————————————————
Department/Faculty: Mathematics
Course Name: LAB: Intro to Statistics II
Course Code: MATH 209D DH
Academic Term: Winter
Class Timetable: TH 9:30PM – 10:45PM Synchronous Online

Course Unit Value: 0.125
—————————————————
Start Date: 1/5/2022
End Date: 4/22/2022
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics.In addition, experience teaching similar introductory statistics labs to
non-science majors and experience with the use of MINITAB for data
analysis is required.Candidates must also have experience using the Blackboard/Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
Synchronous and asynchronous discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Statistics Laboratory Instructor. The
lab instructor is required to follow the course syllabus and guidelines
for lab assignments and grading.Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness.Due to distance, the mailing of materials may extend beyond the
traditional time frames.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: msvumath@msvu.caApplication deadline: 6/28/2021
—————————————————

————————————————-
Department/Faculty: Mathematics
Course Name: LAB: Intro to Statistics II
Course Code: MATH 209D DG
Academic Term: Winter
Class Timetable: TH 8:00PM – 9:15PM Synchronous Online

Course Unit Value: 0.125
—————————————————
Start Date: 1/5/2022
End Date: 4/22/2022
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics.In addition, experience teaching similar introductory statistics labs to
non-science majors and experience with the use of MINITAB for data
analysis is required.Candidates must also have experience using the Blackboard/Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
Synchronous and asynchronous discussions occur during the week on-line.—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Statistics Laboratory Instructor. The
lab instructor is required to follow the course syllabus and guidelines
for lab assignments and grading.Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness.Due to distance, the mailing of materials may extend beyond the
traditional time frames.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: msvumath@msvu.caApplication deadline: 6/28/2021
—————————————————

————————————————–
Department/Faculty: Mathematics
Course Name: LAB: Intro to Statistics II
Course Code: MATH 209D DF
Academic Term: Winter
Class Timetable: TH 6:30PM – 7:45PM Synchronous Online

Course Unit Value: 0.125
—————————————————
Start Date: 1/5/2022
End Date: 4/22/2022
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics.In addition, experience teaching similar introductory statistics labs to
non-science majors and experience with the use of MINITAB for data
analysis is required.Candidates must also have experience using the Blackboard/Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
Synchronous and asynchronous discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Statistics Laboratory Instructor. The
lab instructor is required to follow the course syllabus and guidelines
for lab assignments and grading.Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness.Due to distance, the mailing of materials may extend beyond the
traditional time frames.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: msvumath@msvu.caApplication deadline: 6/28/2021
—————————————————

————————————————-
Department/Faculty: Mathematics
Course Name: LAB: Intro to Statistics II
Course Code: MATH 209D DE
Academic Term: Winter
Class Timetable: W 9:30PM – 10:45PM Synchronous OnlineCourse
Unit Value: 0.125
—————————————————
Start Date: 1/5/2022
End Date: 4/22/2022

—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics.In addition, experience teaching similar introductory statistics labs to
non-science majors and experience with the use of MINITAB for data
analysis is required.Candidates must also have experience using the Blackboard/Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
Synchronous and asynchronous discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Statistics Laboratory Instructor. The
lab instructor is required to follow the course syllabus and guidelines
for lab assignments and grading.Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness.Due to distance, the mailing of materials may extend beyond the traditional time frames.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: msvumath@msvu.caApplication deadline: 6/28/2021
—————————————————

————————————————–
Department/Faculty: Mathematics
Course Name: LAB: Intro to Statistics II
Course Code: MATH 209D DB
Academic Term: Fall
Class Timetable: TH 9:30PM – 10:45PM Synchronous Online

Course Unit Value: 0.125
—————————————————
Start Date: 9/8/2021
End Date: 12/18/2021
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics.In addition, experience teaching similar introductory statistics labs to
non-science majors and experience with the use of MINITAB for data
analysis is required.Candidates must also have experience using the Blackboard/Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
Synchronous and asynchronous discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Statistics Laboratory Instructor. The
lab instructor is required to follow the course syllabus and guidelines
for lab assignments and grading.Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness.Due to distance, the mailing of materials may extend beyond the traditional time frames’
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: msvumath@msvu.caApplication deadline: 6/28/2021
—————————————————

————————————————–
Department/Faculty: Mathematics
Course Name: LAB: Intro to Statistics II
Course Code: MATH 209D DA
Academic Term: Fall
Class Timetable: TH 8:00PM – 9:15PM Synchronous OnlineCourse
Unit Value: 0.125
—————————————————
Start Date: 9/8/2021
End Date: 12/18/2021

—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics.In addition, experience teaching similar introductory statistics labs to
non-science majors and experience with the use of MINITAB for data
analysis is required.Candidates must also have experience using the Blackboard/Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
Synchronous and asynchronous discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Statistics Laboratory Instructor. The
lab instructor is required to follow the course syllabus and guidelines
for lab assignments and grading.Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness.Due to distance, the mailing of materials may extend beyond the
traditional time frames.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: msvumath@msvu.caApplication deadline: 6/28/2021
—————————————————

————————————————-
Department/Faculty: Mathematics
Course Name: LAB: Intro to Statistics I
Course Code: MATH 208D DO
Academic Term: Winter
Class Timetable: TH 9:30PM – 10:45PM Synchronous OnlineCourse

Unit Value: 0.125
—————————————————
Start Date: 1/5/2022
End Date: 4/22/2022
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics.In addition, experience teaching similar introductory statistics labs to
non-science majors and experience with the use of MINITAB for data
analysis is required.Candidates must also have experience using the Blackboard/Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
Synchronous and asynchronous discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Statistics Laboratory Instructor. The
lab instructor is required to follow the course syllabus and guidelines
for lab assignments and grading.Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness.Due to distance, the mailing of materials may extend beyond the
traditional time frames.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: msvumath@msvu.caApplication deadline: 6/28/2021
—————————————————

————————————————–
Department/Faculty: Mathematics
Course Name: LAB: Intro to Statistics I
Course Code: MATH 208D DN
Academic Term: Winter
Class Timetable: TH 8:00PM – 9:15PM Synchronous Online

Course Unit Value: 0.125
—————————————————
Start Date: 1/5/2022
End Date: 4/22/2022
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics.In addition, experience teaching similar introductory statistics labs to
non-science majors and experience with the use of MINITAB for data
analysis is required.Candidates must also have experience using the Blackboard/Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
Synchronous and asynchronous discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Statistics Laboratory Instructor. The
lab instructor is required to follow the course syllabus and guidelines
for lab assignments and grading.Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness.Due to distance, the mailing of materials may extend beyond the
traditional time frames.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: msvumath@msvu.caApplication deadline: 6/28/2021
—————————————————

————————————————–
Department/Faculty: Mathematics
Course Name: LAB: Intro to Statistics I
Course Code: MATH 208D DM
Academic Term: Winter
Class Timetable: W 8:00PM – 9:15PM Synchronous Online

Course Unit Value: 0.125
—————————————————
Start Date: 1/5/2022
End Date: 4/22/2022
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics.In addition, experience teaching similar introductory statistics labs to
non-science majors and experience with the use of MINITAB for data
analysis is required.Candidates must also have experience using the Blackboard/Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
Synchronous and asynchronous discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Statistics Laboratory Instructor. The
lab instructor is required to follow the course syllabus and guidelines
for lab assignments and grading.Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness.Due to distance, the mailing of materials may extend beyond the
traditional time frames.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: msvumath@msvu.caApplication deadline: 6/28/2021
—————————————————

————————————————–
Department/Faculty: Mathematics
Course Name: LAB: Intro to Statistics I
Course Code: MATH 208D DL
Academic Term: Winter
Class Timetable: W 6:30PM – 7:45PM Synchronous OnlineCourse
Unit Value: 0.125
—————————————————
Start Date: 1/5/2022
End Date: 4/22/2022
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics.

In addition, experience teaching similar introductory statistics labs to
non-science majors and experience with the use of MINITAB for data
analysis is required.

Candidates must also have experience using the Blackboard/Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
Synchronous and asynchronous discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Statistics Laboratory Instructor. The
lab instructor is required to follow the course syllabus and guidelines
for lab assignments and grading.

Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness.

Due to distance, the mailing of materials may extend beyond the
traditional time frames.

—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: msvumath@msvu.caApplication deadline: 6/28/2021
—————————————————

—————————————————
Department/Faculty: Mathematics
Course Name: LAB: Intro to Statistics I
Course Code: MATH 208L LI
Academic Term: Fall
Class Timetable: TH 4:30PM – 5:45PM On-campus

Course Unit Value: 0.125
—————————————————
Start Date: 9/8/2021
End Date: 12/18/2021
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics.In addition, experience teaching similar introductory statistics labs to
non-science majors and experience with the use of MINITAB for data
analysis is required.Please note that in the event that it is required that this on campus
course be moved online candidates must have experience and be prepared to
teach using the Blackboard/Collaborate virtual classroom. Candidates must
be willing to participate in additional training in the optimum range of
teaching operations in the Moodle LMS and in the Collaborate virtual
classroom, if necessary, to reach the required level of competency before
the course begins. Candidates must also be sensitive to the needs of
distant, mature and part-time learners. Synchronous and asynchronous
discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Statistics Laboratory Instructor. The
lab instructor is required to follow the course syllabus and guidelines
for lab assignments and grading.Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: msvumath@msvu.caApplication deadline: 6/28/2021
—————————————————

—————————————————
Department/Faculty: Mathematics
Course Name: LAB: Intro to Statistics I
Course Code: MATH 208L LH
Academic Term: Fall
Class Timetable: TH 3:00PM – 4:15PM On-campus

Course Unit Value: 0.125
—————————————————
Start Date: 9/8/2021
End Date: 12/18/2021
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics.In addition, experience teaching similar introductory statistics labs to
non-science majors and experience with the use of MINITAB for data
analysis is required.Please note that in the event that it is required that this on campus
course be moved online candidates must have experience and be prepared to
teach using the Blackboard/Collaborate virtual classroom. Candidates must
be willing to participate in additional training in the optimum range of
teaching operations in the Moodle LMS and in the Collaborate virtual
classroom, if necessary, to reach the required level of competency before
the course begins. Candidates must also be sensitive to the needs of
distant, mature and part-time learners. Synchronous and asynchronous
discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Statistics Laboratory Instructor. The
lab instructor is required to follow the course syllabus and guidelines
for lab assignments and grading.Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: msvumath@msvu.caApplication deadline: 6/28/2021
—————————————————

————————————————–
Department/Faculty: Mathematics
Course Name: LAB: Intro to Statistics I
Course Code: MATH 208L LG
Academic Term: Fall
Class Timetable: TH 1:30PM – 2:45PM On-campus

Course Unit Value: 0.125
—————————————————
Start Date: 9/8/2021
End Date: 12/18/2021
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics.In addition, experience teaching similar introductory statistics labs to
non-science majors and experience with the use of MINITAB for data
analysis is required.Please note that in the event that it is required that this on campus
course be moved online candidates must have experience and be prepared to
teach using the Blackboard/Collaborate virtual classroom. Candidates must
be willing to participate in additional training in the optimum range of
teaching operations in the Moodle LMS and in the Collaborate virtual
classroom, if necessary, to reach the required level of competency before
the course begins. Candidates must also be sensitive to the needs of
distant, mature and part-time learners. Synchronous and asynchronous
discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Statistics Laboratory Instructor. The
lab instructor is required to follow the course syllabus and guidelines
for lab assignments and grading.Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: msvumath@msvu.caApplication deadline: 6/28/2021
—————————————————

————————————————-
Department/Faculty: Mathematics
Course Name: LAB: Intro to Statistics I
Course Code: MATH 208L LF
Academic Term: Fall
Class Timetable: W 3:00PM – 4:15PM On-campus
Course Unit Value: 0.125
—————————————————
Start Date: 9/8/2021
End Date: 12/18/2021
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics.

In addition, experience teaching similar introductory statistics labs to
non-science majors and experience with the use of MINITAB for data
analysis is required.

Please note that in the event that it is required that this on campus
course be moved online candidates must have experience and be prepared to
teach using the Blackboard/Collaborate virtual classroom. Candidates must
be willing to participate in additional training in the optimum range of
teaching operations in the Moodle LMS and in the Collaborate virtual
classroom, if necessary, to reach the required level of competency before
the course begins. Candidates must also be sensitive to the needs of
distant, mature and part-time learners. Synchronous and asynchronous
discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Statistics Laboratory Instructor. The
lab instructor is required to follow the course syllabus and guidelines
for lab assignments and grading.

Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness.

—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: msvumath@msvu.caApplication deadline: 6/28/2021
—————————————————

————————————————–
Department/Faculty: Mathematics
Course Name: LAB: Intro to Statistics I
Course Code: MATH 208D DF
Academic Term: Fall
Class Timetable: TH 09:30PM – 10:45PM Synchronous OnlineCourse

Unit Value: 0.125
—————————————————
Start Date: 9/8/2021
End Date: 12/18/2021
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics.In addition, experience teaching similar introductory statistics labs to
non-science majors and experience with the use of MINITAB for data
analysis is required.Candidates must also have experience using the Blackboard/Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
Synchronous and asynchronous discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Statistics Laboratory Instructor. The
lab instructor is required to follow the course syllabus and guidelines
for lab assignments and grading.Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness.Due to distance, the mailing of materials may extend beyond the
traditional time frames.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: msvumath@msvu.caApplication deadline: 6/28/2021
—————————————————

————————————————–
Department/Faculty: Mathematics
Course Name: LAB: Intro to Statistics I
Course Code: MATH 208D DE
Academic Term: Fall
Class Timetable: TH 8:00PM – 9:15PM Synchronous Online

Course Unit Value: 0.125
—————————————————
Start Date: 9/8/2021
End Date: 12/18/2021
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics.In addition, experience teaching similar introductory statistics labs to
non-science majors and experience with the use of MINITAB for data
analysis is required.Candidates must also have experience using the Blackboard/Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
Synchronous and asynchronous discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Statistics Laboratory Instructor. The
lab instructor is required to follow the course syllabus and guidelines
for lab assignments and grading.Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness.Due to distance, the mailing of materials may extend beyond the
traditional time frames.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: msvumath@msvu.caApplication deadline: 6/28/2021
—————————————————

—————————————————
Department/Faculty: Mathematics
Course Name: LAB: Intro to Statistics I
Course Code: MATH 208D DD
Academic Term: Fall
Class Timetable: TH 6:30PM – 7:45PM Synchronous OnlineCourse

Unit Value: 0.125
—————————————————
Start Date: 9/8/2021
End Date: 12/18/2021
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics.In addition, experience teaching similar introductory statistics labs to
non-science majors and experience with the use of MINITAB for data
analysis is required.Candidates must also have experience using the Blackboard/Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
Synchronous and asynchronous discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Statistics Laboratory Instructor. The
lab instructor is required to follow the course syllabus and guidelines
for lab assignments and grading.Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness.Due to distance, the mailing of materials may extend beyond the
traditional time frames.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: msvumath@msvu.caApplication deadline: 6/28/2021
—————————————————

————————————————–
Department/Faculty: Mathematics
Course Name: LAB: Intro to Statistics I
Course Code: MATH 208D DC
Academic Term: Fall
Class Timetable: W 9:30PM – 10:45PM Synchronous Online

Course Unit Value: 0.125
—————————————————
Start Date: 9/8/2021
End Date: 12/18/2021
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics.In addition, experience teaching similar introductory statistics labs to
non-science majors and experience with the use of MINITAB for data
analysis is required.Candidates must also have experience using the Blackboard/Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
Synchronous and asynchronous discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Statistics Laboratory Instructor. The
lab instructor is required to follow the course syllabus and guidelines
for lab assignments and grading.Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness.Due to distance, the mailing of materials may extend beyond the
traditional time frames.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: msvumath@msvu.caApplication deadline: 6/28/2021
—————————————————

—————————————————
Department/Faculty: Mathematics
Course Name: LAB: Intro to Statistics I
Course Code: MATH 208D DB
Academic Term: Fall
Class Timetable: W 8:00PM – 9:15PM Synchronous OnlineCourse

Unit Value: 0.125
—————————————————
Start Date: 9/8/2021
End Date: 12/18/2021
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics.In addition, experience teaching similar introductory statistics labs to
non-science majors and experience with the use of MINITAB for data
analysis is required.Candidates must also have experience using the Blackboard/Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
Synchronous and asynchronous discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Statistics Laboratory Instructor. The
lab instructor is required to follow the course syllabus and guidelines
for lab assignments and grading.Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness.Due to distance, the mailing of materials may extend beyond the
traditional time frames.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: msvumath@msvu.caApplication deadline: 6/28/2021
—————————————————

————————————————–
Department/Faculty: Mathematics
Course Name: LAB: Intro to Statistics I
Course Code: MATH 208D DA
Academic Term: Fall
Class Timetable: W 6:30PM – 7:45PM Synchronous Online
Course Unit Value: 0.125
—————————————————
Start Date: 9/8/2021
End Date: 12/18/2021
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics.

In addition, experience teaching similar introductory statistics labs to
non-science majors and experience with the use of MINITAB for data
analysis is required.

Candidates must also have experience using the Blackboard/Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
Synchronous and asynchronous discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Statistics Laboratory Instructor. The
lab instructor is required to follow the course syllabus and guidelines
for lab assignments and grading.

Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness.

Due to distance, the mailing of materials may extend beyond the
traditional time frames.

—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: msvumath@msvu.caApplication deadline: 6/28/2021
—————————————————

————————————————-
Department/Faculty: Mathematics
Course Name: Introduction to Statistics II
Course Code: MATH 2209 29
Academic Term: Winter
Class Timetable: TTH 10:30AM – 11:45AM Synchronous Online

Course Unit Value: 0.5
—————————————————
Start Date: 1/5/2022
End Date: 4/22/2022
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
advanced coursework in Statistics.In addition, experience teaching similar introductory statistics to
non-science majors and experience with the use of MINITAB for data
analysis is required.Candidates must also have experience using the Blackboard/Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
Synchronous and asynchronous discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
This is a coordinated course with a laboratory component. The laboratory
components are taught by the laboratory instructor.  Instructors are
required to follow the common course syllabus and guidelines for
assignments, midterm and final exams, and grades.Due to distance, the mailing of materials may extend beyond the
traditional time frames of the course.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: msvumath@msvu.caApplication deadline: 6/28/2021
—————————————————

—————————————————
Department/Faculty: Mathematics
Course Name: Introduction to Statistics II
Course Code: MATH 2209 28
Academic Term: Winter
Class Timetable: T 8:00PM – 10:00PM Synchronous Online

Course Unit Value: 0.5
—————————————————
Start Date: 1/5/2022
End Date: 4/22/2022
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
advanced coursework in Statistics.In addition, experience teaching similar introductory statistics to
non-science majors and experience with the use of MINITAB for data
analysis is required.Candidates must also have experience using the Blackboard/Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
Synchronous and asynchronous discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
This is a coordinated course with a laboratory component. The laboratory
components are taught by the laboratory instructor.  Instructors are
required to follow the common course syllabus and guidelines for
assignments, midterm and final exams, and grades.Due to distance, the mailing of materials may extend beyond the
traditional time frames of the course.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: msvumath@msvu.caApplication deadline: 6/28/2021
—————————————————

————————————————–
Department/Faculty: Mathematics
Course Name: Introduction to Statistics II
Course Code: MATH 2209 27
Academic Term: Winter
Class Timetable: M 7:00PM – 9:00PM Synchronous Online
Course Unit Value: 0.5
—————————————————
Start Date: 1/5/2022
End Date: 4/22/2022
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
advanced coursework in Statistics.

In addition, experience teaching similar introductory statistics to
non-science majors and experience with the use of MINITAB for data
analysis is required.

Candidates must also have experience using the Blackboard/Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
Synchronous and asynchronous discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
This is a coordinated course with a laboratory component. The laboratory
components are taught by the laboratory instructor.  Instructors are
required to follow the common course syllabus and guidelines for
assignments, midterm and final exams, and grades.

Due to distance, the mailing of materials may extend beyond the
traditional time frames of the course.

—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: msvumath@msvu.caApplication deadline: 6/28/2021
—————————————————

—————————————————
Department/Faculty: Mathematics
Course Name: Introduction to Statistics II
Course Code: MATH 2209 05
Academic Term: Winter
Class Timetable: TTH 1:30PM – 2:45PM On-campus

Course Unit Value: 0.5
—————————————————
Start Date: 1/5/2022
End Date: 4/22/2022
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
advanced coursework in Statistics.In addition, experience teaching similar introductory statistics to
non-science majors and experience with the use of MINITAB for data
analysis is required.Please note that in the event that it is required that this on campus
course be moved online candidates must have experience and be prepared to
teach using the Blackboard/Collaborate virtual classroom. Candidates must
be willing to participate in additional training in the optimum range of
teaching operations in the Moodle LMS and in the Collaborate virtual
classroom, if necessary, to reach the required level of competency before
the course begins. Candidates must also be sensitive to the needs of
distant, mature and part-time learners. Synchronous and asynchronous
discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
This is a coordinated course with a laboratory component. The laboratory
components are taught by the laboratory instructor.  Instructors are
required to follow the common course syllabus and guidelines for
assignments, midterm and final exams, and grades.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: msvumath@msvu.caApplication deadline: 6/28/2021
—————————————————

—————————————————
Department/Faculty: Mathematics
Course Name: Introduction to Statistics II
Course Code: MATH 2209 03
Academic Term: Winter
Class Timetable: TTH 10:30AM – 11:45AM On-campus

Course Unit Value: 0.5
—————————————————
Start Date: 1/5/2022
End Date: 4/22/2022
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
advanced coursework in Statistics.In addition, experience teaching similar introductory statistics to
non-science majors and experience with the use of MINITAB for data
analysis is required.Please note that in the event that it is required that this on campus
course be moved online candidates must have experience and be prepared to
teach using the Blackboard/Collaborate virtual classroom. Candidates must
be willing to participate in additional training in the optimum range of
teaching operations in the Moodle LMS and in the Collaborate virtual
classroom, if necessary, to reach the required level of competency before
the course begins. Candidates must also be sensitive to the needs of
distant, mature and part-time learners. Synchronous and asynchronous
discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
This is a coordinated course with a laboratory component. The laboratory
components are taught by the laboratory instructor.  Instructors are
required to follow the common course syllabus and guidelines for
assignments, midterm and final exams, and grades.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: msvumath@msvu.caApplication deadline: 6/28/2021
—————————————————

————————————————–
Department/Faculty: Mathematics
Course Name: Introduction to Statistics II
Course Code: MATH 2209 02
Academic Term: Winter
Class Timetable: MW 12:00PM – 01:15PM On-campus

Course Unit Value: 0.5
—————————————————
Start Date: 1/5/2022
End Date: 4/22/2022
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
advanced coursework in Statistics.In addition, experience teaching similar introductory statistics to
non-science majors and experience with the use of MINITAB for data
analysis is required.Please note that in the event that it is required that this on campus
course be moved online candidates must have experience and be prepared to
teach using the Blackboard/Collaborate virtual classroom. Candidates must
be willing to participate in additional training in the optimum range of
teaching operations in the Moodle LMS and in the Collaborate virtual
classroom, if necessary, to reach the required level of competency before
the course begins. Candidates must also be sensitive to the needs of
distant, mature and part-time learners. Synchronous and asynchronous
discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
This is a coordinated course with a laboratory component. The laboratory
components are taught by the laboratory instructor.  Instructors are
required to follow the common course syllabus and guidelines for
assignments, midterm and final exams, and grades.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: msvumath@msvu.caApplication deadline: 6/28/2021
—————————————————

————————————————–
Department/Faculty: Mathematics
Course Name: Introduction to Statistics II
Course Code: MATH 2209 01
Academic Term: Winter
Class Timetable: MW 9:00AM – 10:15AM On-campus
Course Unit Value: 0.5
—————————————————
Start Date: 1/5/2022
End Date: 4/22/2022
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
advanced coursework in Statistics.

In addition, experience teaching similar introductory statistics to
non-science majors and experience with the use of MINITAB for data
analysis is required.

Please note that in the event that it is required that this on campus
course be moved online candidates must have experience and be prepared to
teach using the Blackboard/Collaborate virtual classroom. Candidates must
be willing to participate in additional training in the optimum range of
teaching operations in the Moodle LMS and in the Collaborate virtual
classroom, if necessary, to reach the required level of competency before
the course begins. Candidates must also be sensitive to the needs of
distant, mature and part-time learners. Synchronous and asynchronous
discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
This is a coordinated course with a laboratory component. The laboratory
components are taught by the laboratory instructor.  Instructors are
required to follow the common course syllabus and guidelines for
assignments, midterm and final exams, and grades.

—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: msvumath@msvu.caApplication deadline: 6/28/2021
—————————————————

—————————————————
Department/Faculty: Mathematics
Course Name: Introduction to Statistics II
Course Code: MATH 2209 18
Academic Term: Fall
Class Timetable: T 8:00PM – 10:00PM Synchronous Online
Course Unit Value: 0.5
—————————————————
Start Date: 9/8/2021
End Date: 12/18/2021

—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
advanced coursework in Statistics.In addition, experience teaching similar introductory statistics to
non-science majors and experience with the use of MINITAB for data
analysis is required.Candidates must also have experience using the Blackboard/Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
Synchronous and asynchronous discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
This is a coordinated course with a laboratory component. The laboratory
components are taught by the laboratory instructor.  Instructors are
required to follow the common course syllabus and guidelines for
assignments, midterm and final exams, and grades.Due to distance, the mailing of materials may extend beyond the
traditional time frames of the course.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: msvumath@msvu.caApplication deadline: 6/28/2021
—————————————————

—————————————————
Department/Faculty: Mathematics
Course Name: Introduction to Statistics I
Course Code: MATH 2208 39
Academic Term: Winter
Class Timetable: T 7:00PM – 9:00PM Synchronous Online

Course Unit Value: 0.5
—————————————————
Start Date: 1/5/2022
End Date: 4/22/2022
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
advanced coursework in Statistics.In addition, experience teaching similar introductory statistics to
non-science majors and experience with the use of MINITAB for data
analysis is required.Candidates must also have experience using the Blackboard/Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
Synchronous and asynchronous discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
This is a coordinated course with a laboratory component. The laboratory
components are taught by the laboratory instructor.  Instructors are
required to follow the common course syllabus and guidelines for
assignments, midterm and final exams, and grades.Due to distance, the mailing of materials may extend beyond the
traditional time frames of the course.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: msvumath@msvu.caApplication deadline: 6/28/2021
—————————————————

—————————————————
Department/Faculty: Mathematics
Course Name: Introduction to Statistics I
Course Code: MATH 2208 38
Academic Term: Winter
Class Timetable: M 7:00PM – 9:00PM Synchronous Online
Course Unit Value: 0.5
—————————————————
Start Date: 1/5/2022
End Date: 4/22/2022

—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
advanced coursework in Statistics.In addition, experience teaching similar introductory statistics to
non-science majors and experience with the use of MINITAB for data
analysis is required.Candidates must also have experience using the Blackboard/Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
Synchronous and asynchronous discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
This is a coordinated course with a laboratory component. The laboratory
components are taught by the laboratory instructor.  Instructors are
required to follow the common course syllabus and guidelines for
assignments, midterm and final exams, and grades.Due to distance, the mailing of materials may extend beyond the
traditional time frames of the course.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: msvumath@msvu.caApplication deadline: 6/28/2021
—————————————————

—————————————————
Department/Faculty: Mathematics
Course Name: Introduction to Statistics I
Course Code: MATH 2208 29
Academic Term: Fall
Class Timetable: T 8:00PM – 10:00PM Synchronous Online

Course Unit Value: 0.5
—————————————————
Start Date: 9/8/2021
End Date: 12/18/2021
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
advanced coursework in Statistics.In addition, experience teaching similar introductory statistics to
non-science majors and experience with the use of MINITAB for data
analysis is required.Candidates must also have experience using the Blackboard/Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
Synchronous and asynchronous discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
This is a coordinated course with a laboratory component. The laboratory
components are taught by the laboratory instructor.  Instructors are
required to follow the common course syllabus and guidelines for
assignments, midterm and final exams, and grades.Due to distance, the mailing of materials may extend beyond the
traditional time frames of the course.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: msvumath@msvu.caApplication deadline: 6/28/2021
—————————————————

————————————————–
Department/Faculty: Mathematics
Course Name: Introduction to Statistics I
Course Code: MATH 2208 28
Academic Term: Fall
Class Timetable: M 8:00PM – 10:00PM Synchronous Online

Course Unit Value: 0.5
—————————————————
Start Date: 9/8/2021
End Date: 12/18/2021
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
advanced coursework in Statistics.In addition, experience teaching similar introductory statistics to
non-science majors and experience with the use of MINITAB for data
analysis is required.Candidates must also have experience using the Blackboard/Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
Synchronous and asynchronous discussions occur during the week on-line.—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
This is a coordinated course with a laboratory component. The laboratory
components are taught by the laboratory instructor.  Instructors are
required to follow the common course syllabus and guidelines for
assignments, midterm and final exams, and grades.Due to distance, the mailing of materials may extend beyond the
traditional time frames of the course.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: msvumath@msvu.caApplication deadline: 6/28/2021
—————————————————

————————————————-
Department/Faculty: Mathematics
Course Name: Introduction to Statistics I
Course Code: MATH 2208 27
Academic Term: Fall
Class Timetable: T 7:30PM – 9:30PM Synchronous Online
Course Unit Value: 0.5
—————————————————
Start Date: 9/8/2021
End Date: 12/18/2021
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
advanced coursework in Statistics.

In addition, experience teaching similar introductory statistics to non-science majors and experience with the use of MINITAB for data analysis is required.

Candidates must also have experience using the Blackboard/Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
Synchronous and asynchronous discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
This is a coordinated course with a laboratory component. The laboratory
components are taught by the laboratory instructor.  Instructors are
required to follow the common course syllabus and guidelines for
assignments, midterm and final exams, and grades.Due to distance, the mailing of materials may extend beyond the
traditional time frames of the course.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: msvumath@msvu.caApplication deadline: 6/28/2021
—————————————————

————————————————–
Department/Faculty: Mathematics
Course Name: Introduction to Statistics I
Course Code: MATH 2208 19
Academic Term: Fall
Class Timetable: TTH 10:30AM – 11:45AM Synchronous Online
Course Unit Value: 0.5
—————————————————
Start Date: 9/8/2021
End Date: 12/18/2021
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
advanced coursework in Statistics.

In addition, experience teaching similar introductory statistics labs to
non-science majors and experience with the use of MINITAB for data
analysis is required.

Candidates must also have experience using the Blackboard/Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
Synchronous and asynchronous discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
This is a coordinated course with a laboratory component. The laboratory
components are taught by the laboratory instructor.  Instructors are
required to follow the common course syllabus and guidelines for
assignments, midterm and final exams, and grades.

Due to distance, the mailing of materials may extend beyond the
traditional time frames of the course.

—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: msvumath@msvu.caApplication deadline: 6/28/2021
—————————————————

—————————————————
Department/Faculty: Mathematics
Course Name: Introduction to Statistics I
Course Code: MATH 2208 04
Academic Term: Fall
Class Timetable: TTH 1:30PM – 2:45PM On-campus

Course Unit Value: 0.5
—————————————————
Start Date: 9/8/2021
End Date: 12/18/2021
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
advanced coursework in Statistics.In addition, experience teaching similar introductory statistics to
non-science majors and with the use of MINITAB for data analysis is
required.Please note that in the event that it is required that this on campus
course be moved online candidates must have experience and be prepared to
teach using the Blackboard/Collaborate virtual classroom. Candidates must
be willing to participate in additional training in the optimum range of
teaching operations in the Moodle LMS and in the Collaborate virtual
classroom, if necessary, to reach the required level of competency before
the course begins. Candidates must also be sensitive to the needs of
distant, mature and part-time learners. Synchronous and asynchronous
discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
This is a coordinated course with a laboratory component. The laboratory
components are taught by the laboratory instructor.  Instructors are
required to follow the common course syllabus and guidelines for
assignments, midterm and final exams, and grades.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: msvumath@msvu.caApplication deadline: 6/28/2021
—————————————————

————————————————-
Department/Faculty: Mathematics
Course Name: Introduction to Statistics I
Course Code: MATH 2208 03
Academic Term: Fall
Class Timetable: TTH 12:00PM – 1:15PM On-campus

Course Unit Value: 0.5
—————————————————
Start Date: 9/8/2021
End Date: 12/18/2021
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
advanced coursework in Statistics.In addition, experience teaching similar introductory statistics to
non-science majors and with the use of MINITAB for data analysis is
required.Please note that in the event that it is required that this on campus
course be moved online candidates must have experience and be prepared to
teach using the Blackboard/Collaborate virtual classroom. Candidates must
be willing to participate in additional training in the optimum range of
teaching operations in the Moodle LMS and in the Collaborate virtual
classroom, if necessary, to reach the required level of competency before
the course begins. Candidates must also be sensitive to the needs of
distant, mature and part-time learners. Synchronous and asynchronous
discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
This is a coordinated course with a laboratory component. The laboratory
components are taught by the laboratory instructor.  Instructors are
required to follow the common course syllabus and guidelines for
assignments, midterm and final exams, and grades.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: msvumath@msvu.caApplication deadline: 6/28/2021
—————————————————

————————————————–
Department/Faculty: Mathematics
Course Name: Introduction to Statistics I
Course Code: MATH 2208 01
Academic Term: Fall
Class Timetable: MW 12:00PM – 1:15PM On-campus
Course Unit Value: 0.5
—————————————————
Start Date: 9/8/2021
End Date: 12/18/2021
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
advanced coursework in Statistics.

In addition, experience teaching similar introductory statistics to
non-science majors and with the use of MINITAB for data analysis is
required.

Please note that in the event that it is required that this on campus
course be moved online candidates must have experience and be prepared to
teach using the Blackboard/Collaborate virtual classroom. Candidates must
be willing to participate in additional training in the optimum range of
teaching operations in the Moodle LMS and in the Collaborate virtual
classroom, if necessary, to reach the required level of competency before
the course begins. Candidates must also be sensitive to the needs of
distant, mature and part-time learners. Synchronous and asynchronous
discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
This is a coordinated course with a laboratory component. The laboratory
components are taught by the laboratory instructor.  Instructors are
required to follow the common course syllabus and guidelines for
assignments, midterm and final exams, and grades.

—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: msvumath@msvu.caApplication deadline: 6/28/2021
—————————————————

————————————————–
Department/Faculty: Mathematics
Course Name: Introductory Calculus I
Course Code: MATH 1113 18
Academic Term: Fall
Class Timetable: MW 9:00AM – 10:15AM Synchronous Online
Course Unit Value: 0.5
—————————————————
Start Date: 9/8/2021
End Date: 12/18/2021
—————————————————
Qualifications:
PhD or Master’s degree in Mathematics. In addition, the successful
candidate must have prior experience teaching Introductory Calculus at the
University level in courses which include students from a variety of
majors.

Candidates must also have experience using the Blackboard/Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
Synchronous and asynchronous discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Due to distance, the mailing of materials may extend beyond the
traditional time frames.

—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: msvumath@msvu.caApplication deadline: 6/28/2021
—————————————————

—————————————————
Department/Faculty: Mathematics
Course Name: Introductory Calculus I
Course Code: MATH 1113 02
Academic Term: Fall
Class Timetable: TTH 9:00AM – 10:15AM On-campus
Course Unit Value: 0.5
—————————————————
Start Date: 9/8/2021
End Date: 12/18/2021
—————————————————
Qualifications:
PhD or Master’s degree in Mathematics. In addition, the successful
candidate must have prior experience teaching Introductory Calculus at the
University level in courses which include students from a variety of
majors.

Please note that in the event that it is required that this on campus
course be moved online candidates must have experience and be prepared to
teach using the Blackboard/Collaborate virtual classroom. Candidates must
be willing to participate in additional training in the optimum range of
teaching operations in the Moodle LMS and in the Collaborate virtual
classroom, if necessary, to reach the required level of competency before
the course begins. Candidates must also be sensitive to the needs of
distant, mature and part-time learners. Synchronous and asynchronous
discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:

 

—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: msvumath@msvu.caApplication deadline: 6/28/2021
—————————————————

—————————————————
Department/Faculty: Mathematics
Course Name: Precalculus I
Course Code: MATH 1102 18
Academic Term: Fall
Class Timetable: TH 9:00AM – 10:15AM Multi-Mode Online
Course Unit Value: 0.5
—————————————————
Start Date: 9/8/2021
End Date: 12/18/2021
—————————————————
Qualifications:
PhD or Master’s degree in Mathematics. In addition, the successful
candidate must have prior experience teaching Precalculus at the
University level in courses which include students from a variety of
majors.

Candidates must also have experience using the Blackboard/Collaborate 
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
Synchronous and asynchronous discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Due to distance, the mailing of materials may extend beyond the
traditional time frames of the course.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: msvumath@msvu.caApplication deadline: 6/28/2021
—————————————————

————————————————–
Department/Faculty: Mathematics
Course Name: Statistics and Mathematics Preparation
Course Code: MATH 0027 29
Academic Term: Winter
Class Timetable: Asynchronous Online
Course Unit Value: 0.5
—————————————————
Start Date: 1/5/2022
End Date: 4/22/2022
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Mathematics or Statistics.

In addition, experience teaching a similar course to prepare non-science
majors who will be taking further Mathematics and/or Statistics courses is
required.

Candidates must also have experience using the Blackboard/Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
Synchronous and asynchronous discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Due to distance, the mailing of materials may extend beyond the
traditional time frames of the course.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: msvumath@msvu.ca

Application deadline: 6/28/2021
—————————————————

————————————————-
Department/Faculty: Mathematics
Course Name: Statistics and Mathematics Preparation
Course Code: MATH 0027 28
Academic Term: Winter
Class Timetable: Asynchronous Online
Course Unit Value: 0.5
—————————————————
Start Date: 1/5/2022
End Date: 4/22/2022

—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Mathematics or Statistics.In addition, experience teaching a similar course to prepare non-science
majors who will be taking further Mathematics and/or Statistics courses is
required.Candidates must also have experience using the Blackboard/Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
Synchronous and asynchronous discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Due to distance, the mailing of materials may extend beyond the
traditional time frames of the course.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: msvumath@msvu.caApplication deadline: 6/28/2021
—————————————————

————————————————–
Department/Faculty: Mathematics
Course Name: Statistics and Mathematics Preparation
Course Code: MATH 0027 19

Academic Term: Fall
Class Timetable: Asynchronous Online
Course Unit Value: 0.5
—————————————————
Start Date: 9/8/2021
End Date: 12/18/2021
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Mathematics or Statistics.In addition, experience teaching a similar course to prepare non-science
majors who will be taking further Mathematics and/or Statistics courses is
required.Candidates must also have experience using the Blackboard/Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
Synchronous and asynchronous discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Due to distance, the mailing of materials may extend beyond the
traditional time frames of the course.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: msvumath@msvu.caApplication deadline: 6/28/2021
—————————————————

————————————————–
Department/Faculty: Mathematics
Course Name: Statistics and Mathematics Preparation
Course Code: MATH 0027 18
Academic Term: Fall
Class Timetable: Asynchronous Online
Course Unit Value: 0.5
—————————————————
Start Date: 9/8/2021
End Date: 12/18/2021
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Mathematics or Statistics.

In addition, experience teaching a similar course to prepare non-science
majors who will be taking further Mathematics and/or Statistics courses is
required.

Candidates must also have experience using the Blackboard/Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
Synchronous and asynchronous discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Due to distance, the mailing of materials may extend beyond the
traditional time frames of the course.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: msvumath@msvu.ca

Application deadline: 6/28/2021
—————————————————

SMU

The Department of Mathematics & Computing Science is seeking to staff the following course and recitation for the summer session, 2021: July 5 – Aug. 21, 2021.

CSCI2341.1 TR 09:30am – 12:29pm – REMOTE

CSCI2341.1R TR 01:30pm – 02:45pm – REMOTE

The course and recitation are offered as a unit: preference will be given to instructors willing to teach the recitation as well. All instruction will be delivered remotely (online) and applicants are expected to have access to sufficient technological resources – including internet connectivity and a webcam or similar equipment – to make this feasible.  The successful candidate(s) will be required to hold office hours and grade major assessments such as midterm and final examinations. 

The stipend* for the CSCI2341.1 lecture is $4852.00 – $6137.50 (depending on experience at Saint Mary’s). The stipend* for the CSCI2341.1R recitation is $2426.00 – $3068.75 (depending on experience at Saint Mary’s).

The Department requires the following qualification and experience:

Minimum Master’s Degree in Computing Science

Successful experience teaching Data Structures & Algorithms 

at the University level.

Applications are invited in the first instance from part-time faculty colleagues who are on the Precedence List.

Send your application to:

Part time positions at ptpositions@cs.smu.ca

If you have never taught at Saint Mary’s,

Send:

  • An up-to-date Curriculum Vitae
  • University transcripts and Proof of Degrees
    (e.g. photocopies of certificates)

AND

Have sent:

  • Two (2) letters of reference.

*The stipend is subject to the current collective agreement between CUPE and Saint Mary’s University

Applications should be received no later than May 23, 2021

 

PART-TIME POSITIONS

SUMMER TERM 2021

CSCI1228.1 & Computer Lab.

(Advanced Comp. Prog. & Prob. Solv)

The Department of Mathematics & Computing Science is seeking to staff the following course and computer lab for the Summer session, 2021: July 5 – Aug. 21, 2021.

CSCI1228.1 TR 09:30am – 12:29pm – REMOTE

CSCI1228.1L TR 01:30pm – 04:29pm – REMOTE

The course and lab are offered as a unit: preference will be given to instructors willing to teach the lab as well. All instruction will be delivered remotely (online) and applicants are expected to have access to sufficient technological resources – including internet connectivity and a webcam or similar equipment – to make this feasible.  The successful candidate(s) will be required to hold office hours and grade major assessments such as midterm and final examinations. 

The stipend* for the CSCI1228.1 lecture is $4852.00 – $6137.50 (depending on experience at Saint Mary’s). The stipend* for the CSCI1228.1L computer lab is $2426.00 – $3068.75 (depending on experience at Saint Mary’s).

The Department requires the following qualification and experience:

Minimum Master’s Degree in Computing Science.

Successful experience teaching Introductory Computing Science at the University level in Java.

Applications are invited in the first instance from part-time faculty colleagues who are on the Precedence List.

Send your application to:

Part time positions at ptpositions@cs.smu.ca

*The stipend is subject to the current collective agreement between CUPE and Saint Mary’s University

If you have never taught at Saint Mary’s,

Send:

  • An up-to-date Curriculum Vitae
  • University transcripts and Proof of Degrees
    (e.g. photocopies of certificates)

AND

Have sent:

  • Two (2) letters of reference.

Applications should be received no later than May 23, 2021

 

PART-TIME POSITIONS

SUMMER TERM 2021

MATH1211.1 & Recs.

(Introductory Calculus II)

The Department of Mathematics & Computing Science is seeking to staff the following courses for the Summer session, 2021: July 05 – August 21, 2021.

MATH1211.1 TR 05:30pm – 07:59pm – REMOTE

MATH1211.1RA TR 08:00pm – 09:29pm – REMOTE

MATH1211.1RB MW 04:00pm – 05:29pm – REMOTE

The course and one Recitation are offered as a unit. All instruction will be delivered remotely (online) and applicants are expected to have access to sufficient technological resources – including internet connectivity and a webcam or similar equipment – to make this feasible.  The successful candidate(s) will be required to hold office hours and grade major assessments such as midterm and final examinations. 

The stipend* for MATH1211.1 is $4852.00 – $6137.50 (depending on experience at Saint Mary’s). The stipend* for the MATH1211.1 Recitations are $2426.00 – $3068.75 (depending on experience at Saint Mary’s).

The Department requires the following qualification and experience:

Minimum Master’s Degree in Mathematics. 

Successful experience teaching Calculus at the University level.

Applications are invited in the first instance from part-time faculty colleagues who are on the Precedence List.

Send your application to:

Part time positions at ptpositions@cs.smu.ca

Or Department of Mathematics & Computing Science

Saint Mary’s University

Halifax, Nova Scotia

B3H 3C3

If you have never taught at Saint Mary’s,

Send:

  • An up-to-date Curriculum Vitae
  • University transcripts and Proof of Degrees
    (e.g. photocopies of certificates)

AND

Have sent:

  • Two (2) letters of reference.

*The stipend is subject to the current negotiations between CUPE and Saint Mary’s University

Applications should be received no later than May 23, 2021

 

PART-TIME POSITIONS

SUMMER TERM 2021

MATH1210.1 + Recitation

(Introductory Calculus I)

The Department of Mathematics & Computing Science is seeking to staff the following courses for the Summer session, 2021: July 5 – Aug. 21, 2021.

MATH1210.1 TR 3:30pm – 5:59pm – REMOTE

MATH1210.1R TR 6:00pm – 7:30pm – REMOTE

The course and Recitation are offered as a unit: preference will be given to instructors willing to teach the Recitation as well. All instruction will be delivered remotely (online) and applicants are expected to have access to sufficient technological resources – including internet connectivity and a webcam or similar equipment – to make this feasible.  The successful candidate(s) will be required to hold office hours and grade major assessments such as midterm and final examinations. 

The stipend* for MATH1210.1 is $4852.00 – $6137.50 (depending on experience at Saint Mary’s). The stipend* for the MATH1210.1 Recitations are $2426.00 – $3068.75 (depending on experience at Saint Mary’s).

The Department requires the following qualification and experience:

Minimum Master’s Degree in Mathematics or Mathematics Education

Successful experience teaching a similar course at the University level.

Applications are invited in the first instance from part-time faculty colleagues who are on the Precedence List.

Send your application to:

Part time positions at ptpositions@cs.smu.ca

Or Department of Mathematics & Computing Science

Saint Mary’s University

Halifax, Nova Scotia

B3H 3C3

If you have never taught at Saint Mary’s,

Send:

  • An up-to-date Curriculum Vitae
  • University transcripts and Proof of Degrees
    (e.g. photocopies of certificates)

AND

Have sent:

  • Two (2) letters of reference.

*The stipend is subject to the current negotiations between CUPE and Saint Mary’s University

Applications should be received no later than May 23, 2021

PART-TIME POSITIONS

SUMMER TERM 2021

MATH2303.1 & (Course + Recitations)

(Differential Equations I)

The Department of Mathematics & Computing Science is seeking to staff the following courses for the Summer session, 2021: July 05 – August 21, 2021.

MATH2303.1 WF 02:30pm – 04:59pm – REMOTE

MATH2303.1RA WF 07:00pm – 08:29pm – REMOTE

MATH2303.1RB WF 05:30pm – 06:59pm – REMOTE

The course and Recitation are offered as a unit: preference will be given to instructors willing to teach a Recitation as well. All instruction will be delivered remotely (online) and applicants are expected to have access to sufficient technological resources – including internet connectivity and a webcam or similar equipment – to make this feasible.  The successful candidate(s) will be required to hold office hours and grade major assessments such as midterm and final examinations. 

The stipend* for MATH2303.1 is $4852.00 – $6137.50 (depending on experience at Saint Mary’s). The stipend* for the MATH2303.1 Recitation is $2426.00 – $3068.75 (depending on experience at Saint Mary’s).

The Department requires the following qualification and experience:

Ph.D. required.

Successful experience teaching Differential Equations at the University level would be an asset.

Applications are invited in the first instance from part-time faculty colleagues who are on the Precedence List.

Send your application to:

Part time positions at ptpositions@cs.smu.ca

Or Department of Mathematics & Computing Science

Saint Mary’s University

Halifax, Nova Scotia

B3H 3C3

If you have never taught at Saint Mary’s,

Send:

  • An up-to-date Curriculum Vitae
  • University transcripts and Proof of Degrees
    (e.g. photocopies of certificates)

AND

Have sent:

  • Two (2) letters of reference.

*The stipend is subject to the current negotiations between CUPE and Saint Mary’s University

Applications should be received no later than May 23, 2021

 

DAL
Position Title Part-Time Academic (MATH 1000.03 – SUMMER (A) Term 2021)
Posting Number PTAP642P
Department/Unit Mathematics & Statistics
Location Halifax
Job Summary & Key Responsibilities The Part-Time Academic will be responsible for the delivery of Differential & Integral Calculus I (MATH 1000.03) in SUMMER (A) term. The contract dates for teaching/delivery are from May 1 to June 30.

The topics to be covered in the course are available from the Department Chair. Course descriptions are provided in the Undergraduate Calendar published online ( https://academiccalendar.dal.ca ) by the Registrar’s Office, Dalhousie University.

Please see the academic timetable ( www.dal.ca/timetable ) for the days & times of this course. Please note this course is being delivered online.
Qualifications/Requirements of Position A combination of M.Sc. degree in Mathematics or Statistics and previous teaching experience is required. Completion of a PhD or PhD in progress is considered an asset. Experience with course delivery in an online environment is also an asset. The successful applicant must have demonstrated knowledge of the subject matter.

Please provide teaching evaluations if available.
Salary Range/Pay Rate Per CUPE Collective Agreement – Local 3912
Additional Information All offers of employment as a Part-Time Academic are conditional upon sufficient student enrolment in the course and approval by the University. Dalhousie University is committed to fostering a collegial culture grounded in diversity and inclusiveness. The university encourages applications from Aboriginal people, persons with a disability, racially visible persons, women, persons of minority sexual orientations and gender identities, and all candidates who would contribute to the diversity of our community.
Term of appointment May 1, 2021 to June 30, 2021
Open Date 03/26/2021
Close Date 04/05/2021
Open Until Filled
Quick Link for Direct Access to Posting http://dal.peopleadmin.ca/postings/5731

Documents Needed to Apply

Required Documents

  1. Cover Letter
  2. Résumé / Curriculum Vitae (CV)
  3. List of referees
SMU

PART-TIME POSITIONS

SPRING TERM 2021

MATH1190.1 + REC.

(Fundamental Mathematics)

The Department of Mathematics & Computing Science is seeking to staff the following course for the Spring session, 2021: May 03 – June 19.

MATH1190.1          TR       05:30pm – 07:59pm             –           REMOTE

MATH1190.1R        TR       08:00pm – 09:29pm             –           REMOTE

The course and Recitation are offered as a unit: preference will be given to instructors willing to teach the Recitation as well. All instruction will be delivered remotely (online) and applicants are expected to have access to sufficient technological resources – including internet connectivity and a webcam or similar equipment – to make this feasible.  The successful candidate(s) will be required to hold office hours and grade major assessments such as midterm and final examinations.

The stipend* for MATH1190.1 is $4852.00 – $6137.50 (depending on experience at Saint Mary’s). The stipend* for the MATH1190.1 Recitation is $2426.00 – $3068.75 (depending on experience at Saint Mary’s).

The Department requires the following qualification and experience:

Minimum Master’s Degree in Mathematics or Mathematics Education

Successful experience teaching Calculus or Pre-Calculus at the University level.

Applications are invited in the first instance from part-time faculty colleagues who are on the Precedence List.

Send your application to:

Part time positions at ptpositions@cs.smu.ca

If you have never taught at Saint Mary’s,

Send:

  • An up-to-date Curriculum Vitae
  • University transcripts and Proof of Degrees (e.g. photocopies of certificates)

AND

Have sent:

  • Two (2) letters of reference.

*The stipend is subject to the current negotiations between CUPE and Saint Mary’s University

Applications should be received no later than March 26, 2021

 

PART-TIME POSITIONS

SPRING TERM 2021

MATH1202.1 & Recitation

(Concepts & Topics In Math)

The Department of Mathematics & Computing Science is seeking to staff the following courses for the Spring session, 2021: May 03 – June 19.

MATH1202.1             MW               5:30pm – 7:59pm               –           REMOTE

MATH1202.1R           MW               8:00pm – 9:29pm               –           REMOTE

Preference will be given to instructors with K12 classroom teaching experience.

The course and Recitation are offered as a unit: preference will be given to instructors willing to teach the Recitation as well. All instruction will be delivered remotely (online) and applicants are expected to have access to sufficient technological resources – including internet connectivity and a webcam or similar equipment – to make this feasible.  The successful candidate(s) will be required to hold office hours and grade major assessments such as midterm and final examinations.

The stipend* for MATH1202.1 is $4852.00 – $6137.50 (depending on experience at Saint Mary’s). The stipend* for the MATH1202.1 recitation are $2426.00 – $3068.75 (depending on experience at Saint Mary’s).

The Department requires the following qualification and experience:

Minimum Master’s Degree in Mathematics or Mathematics Education

Successful experience teaching a similar course at the University level.

Applications are invited in the first instance from part-time faculty colleagues who are on the Precedence List.

Send your application to:

Part time positions at ptpositions@cs.smu.ca

If you have never taught at Saint Mary’s,

Send:

  • An up-to-date Curriculum Vitae
  • University transcripts and Proof of Degrees (e.g. photocopies of certificates)

AND

Have sent:

  • Two (2) letters of reference.

*The stipend is subject to the current negotiations between CUPE and Saint Mary’s University

Applications should be received no later than March 26, 2021

 

PART-TIME POSITIONS

SPRING TERM 2021

MATH1210.1 + Recitation

(Introductory Calculus I)

The Department of Mathematics & Computing Science is seeking to staff the following courses for the Spring session, 2021: May 03 – June 19.

MATH1210.1             TR                  5:30pm – 7:59pm               –           REMOTE

MATH1210.1RA        TR                  8:00pm – 9:29pm               –           REMOTE

MATH1210.1RB        MW               5:30pm – 6:59pm               –           REMOTE

The course and Recitation A are offered as a unit. All instruction will be delivered remotely (online) and applicants are expected to have access to sufficient technological resources – including internet connectivity and a webcam or similar equipment – to make this feasible.  The successful candidate(s) will be required to hold office hours and grade major assessments such as midterm and final examinations.

The stipend* for MATH1210.1 is $4852.00 – $6137.50 (depending on experience at Saint Mary’s). The stipend* for the MATH1210.1 Recitations are $2426.00 – $3068.75 (depending on experience at Saint Mary’s).

The Department requires the following qualification and experience:

Minimum Master’s Degree in Mathematics or Mathematics Education

Successful experience teaching a similar course at the University level.

Applications are invited in the first instance from part-time faculty colleagues who are on the Precedence List.

Send your application to:

Part time positions at ptpositions@cs.smu.ca

If you have never taught at Saint Mary’s,

Send:

  • An up-to-date Curriculum Vitae
  • University transcripts and Proof of Degrees (e.g. photocopies of certificates)

AND

Have sent:

  • Two (2) letters of reference.

*The stipend is subject to the current negotiations between CUPE and Saint Mary’s University

Applications should be received no later than March 26, 2021

PART-TIME POSITIONS

SPRING TERM 2021

MATH1211.1 & Recs.

(Introductory Calculus II)

The Department of Mathematics & Computing Science is seeking to staff the following courses for the Summer session, 2021: May 03 – June 19.

MATH1211.1             MW               05:30pm – 07:59pm           –           REMOTE

MATH1211.1RA        TR                  05:30pm – 07:00pm           –           REMOTE

MATH1211.1RB        TR                  07:00pm – 08:30pm           –           REMOTE

The course and Recitation A are offered as a unit. All instruction will be delivered remotely (online) and applicants are expected to have access to sufficient technological resources – including internet connectivity and a webcam or similar equipment – to make this feasible.  The successful candidate(s) will be required to hold office hours and grade major assessments such as midterm and final examinations.

The stipend* for MATH1211.1 is $4852.00 – $6137.50 (depending on experience at Saint Mary’s). The stipend* for the MATH1211.1 Recitations are $2426.00 – $3068.75 (depending on experience at Saint Mary’s).

The Department requires the following qualification and experience:

Minimum Master’s Degree in Mathematics or Mathematics Education

Successful experience teaching Calculus or Pre-Calculus at the University level.

Applications are invited in the first instance from part-time faculty colleagues who are on the Precedence List.

Send your application to:

Part time positions at ptpositions@cs.smu.ca

If you have never taught at Saint Mary’s,

Send:

  • An up-to-date Curriculum Vitae
  • University transcripts and Proof of Degrees (e.g. photocopies of certificates)

AND

Have sent:

  • Two (2) letters of reference.

*The stipend is subject to the current negotiations between CUPE and Saint Mary’s University

Applications should be received no later than March 26, 2021

PART-TIME POSITIONS

SPRING TERM 2021

MATH1216.1YA + Rec.

In Yarmouth

(Intro to Mathematical Statistics)

The Department of Mathematics & Computing Science is seeking to staff the following courses for the Spring session, 2021 in Yarmouth, May 03 – June 19.

MATH1216.1YA            TR          04:30pm –07:15pm

MATH1216.1RY            TR          07:30pm –08:45pm

The course and Recitation are offered as a unit: preference will be given to instructors willing to teach the Recitation as well. All instruction will be delivered remotely (online) and applicants are expected to have access to sufficient technological resources – including internet connectivity and a webcam or similar equipment – to make this feasible.  The successful candidate(s) will be required to hold office hours and grade major assessments such as midterm and final examinations.

The stipend* for this course is $4852.00 – $6137.50 (depending on the experience at Saint Mary’s). The stipend* for the Recitation is $2426.00 – $3068.75 (depending on the experience at Saint Mary’s).

The Department requires the following qualification and experience:

Minimum Master’s Degree in Mathematics or Mathematics Education

Successful experience teaching Introductory Statistics at the University level.

Applications are invited in the first instance from part-time faculty colleagues who are on the Precedence List.

Send your application to:

Part time positions at ptpositions@cs.smu.ca

If you have never taught at Saint Mary’s,

Send:

  • An up-to-date Curriculum Vitae
  • University transcripts and Proof of Degrees (e.g. photocopies of certificates)

AND

Have sent:

  • Two (2) letters of reference.

*The stipend is subject to the current negotiations between CUPE and Saint Mary’s University

Applications should be received no later than March 26, 2021

PART-TIME POSITIONS

SPRING TERM 2021

MATH2301.1 & Recitations                       

(Applied Linear Algebra)

The Department of Mathematics & Computing Science is seeking to staff the following courses for the Spring session, 2021: May 03 – June 19, 2021.

MATH2301.1          TR       4:30pm – 6:59pm            –               REMOTE

MATH2301.1RA     TR       7:00pm – 8:29pm            –               REMOTE

MATH2301.1RB     TR       8:30pm – 10:00pm          –               REMOTE

The course and Recitation A are offered as a unit. All instruction will be delivered remotely (online) and applicants are expected to have access to sufficient technological resources – including internet connectivity and a webcam or similar equipment – to make this feasible.  The successful candidate(s) will be required to hold office hours and grade major assessments such as midterm and final examinations.

The stipend* for MATH2301.1 is $4852.00 – $6137.50 (depending on experience at Saint Mary’s). The stipend* for the MATH2301.1 Recitation is $2426.00 – $3068.75 (depending on experience at Saint Mary’s).

The Department requires the following qualification and experience:

PHD required.

Successful experience teaching Linear Algebra at the University level would be an asset.

Applications are invited in the first instance from part-time faculty colleagues who are on the Precedence List.

Send your application to:

Part time positions at ptpositions@cs.smu.ca

If you have never taught at Saint Mary’s,

Send:

  • An up-to-date Curriculum Vitae
  • University transcripts and Proof of Degrees (e.g. photocopies of certificates)

AND

Have sent:

  • Two (2) letters of reference.

 

*The stipend is subject to the current negotiations between CUPE and Saint Mary’s University

Applications should be received no later than March 26, 2021

PART-TIME POSITIONS

SPRING TERM 2021

MATH2311.1 + Rec.

(Intermediate Calculus II)

The Department of Mathematics & Computing Science is seeking to staff the following courses for the Spring session, 2021: May 03 – June 19.

MATH2311.1          MW     5:30pm – 7:59pm              –              REMOTE

MATH2311.1RA     MW     8:00pm – 9:29pm              –              REMOTE

MATH2311.1RB     TR       5:30pm – 7:00pm              –              REMOTE

The course and Recitation A are offered as a unit. All instruction will be delivered remotely (online) and applicants are expected to have access to sufficient technological resources – including internet connectivity and a webcam or similar equipment – to make this feasible.  The successful candidate(s) will be required to hold office hours and grade major assessments such as midterm and final examinations.

The stipend* for MATH2311.1 is $4852.00 – $6137.50 (depending on experience at Saint Mary’s). The stipend* for the MATH2311.1 Recitation is $2426.00 – $3068.75 (depending on experience at Saint Mary’s).

The Department requires the following qualification and experience:

Ph.D. required for Lecture, MSc in Math oriented subject for Recitation.

Successful experience teaching Intermediate Calculus at the University level.

Applications are invited in the first instance from part-time faculty colleagues who are on the Precedence List.

Send your application to:

Part time positions at ptpositions@cs.smu.ca

If you have never taught at Saint Mary’s,

Send:

  • An up-to-date Curriculum Vitae
  • University transcripts and Proof of Degrees (e.g. photocopies of certificates)

AND

Have sent:

  • Two (2) letters of reference.

*The stipend is subject to the current negotiations between CUPE and Saint Mary’s University

Applications should be received no later than March 26, 2021

PART-TIME POSITIONS

SPRING TERM 2021

CSCI2327.1 & REC.

(Digital Logic & Assembly Level)

The Department of Mathematics & Computing Science is seeking to staff the following course and recitation for the spring semester, 2021: May 03 – June 19.

CSCI 2327.1 MW 9:30am – 12:29pm –        REMOTE

CSCI 2327.1R MW 1:30pm – 2:45pm –        REMOTE

The course and recitation are offered as a unit: preference will be given to instructors willing to teach the recitation as well. All instruction will be delivered remotely (online) and applicants are expected to have access to sufficient technological resources – including internet connectivity and a webcam or similar equipment – to make this feasible.  The successful candidate(s) will be required to hold office hours and grade major assessments such as midterm and final examinations. 

The stipend* for the CSCI2327.1 lecture is $4852.00 – $6137.50 (depending on experience at Saint Mary’s). The stipend* for the CSCI2327.1 recitation is $2426.00 – $3068.75 (depending on experience at Saint Mary’s).

The Department requires the following qualification and experience:

Minimum Master’s Degree in Computing Science.

Successful experience teaching Computing Science at the University level, and in the course area.

Applications are invited in the first instance from part-time faculty colleagues who are on the Precedence List.

Send your application to: ptpositions@cs.smu.ca

If you have never taught at Saint Mary’s,

Send:

  • An up-to-date Curriculum Vitae
  • University transcripts and Proof of Degrees (e.g. photocopies of certificates)

AND

Have sent:

  • Two (2) letters of reference.

*The stipend is subject to the current negotiations between CUPE and Saint Mary’s University

Applications should be received no later than March 21, 2021

 

PART-TIME POSITIONS

SPRING TERM 2021

CSCI1226.1 & Lab

(Introduction to Computing Science & Programming)

The Department of Mathematics & Computing Science is seeking to staff the following course and lab for the spring semester, 2021: May 03 – June 19.

CSCI 1226.1 MW 09:30am – 12:29pm – REMOTE

CSCI 1226.1L MW 01:30pm – 04:29pm –           REMOTE

The course and lab are offered as a unit: preference will be given to instructors willing to teach the lab as well. All instruction will be delivered remotely (online) and applicants are expected to have access to
sufficient technological resources – including internet connectivity and a webcam or similar equipment – to make this feasible.  The successful candidate(s) will be required to hold office hours and grade major assessments such as midterm and final examinations. 

The stipend* for the CSCI1226.1 lecture is $4852.00 – $6137.50 (depending on experience at Saint Mary’s). The stipend* for the CSCI1226.1 Lab is $2426.00 – $3068.75 (depending on experience at Saint Mary’s).

The Department requires the following qualification and experience:

Minimum Master’s Degree in Computing Science.

Successful experience teaching Introductory Computing Science at the University level in Java .

Applications are invited in the first instance from part-time faculty colleagues who are on the Precedence List.

Send your application to:  ptpositions@cs.smu.ca

If you have never taught at Saint Mary’s,

Send:

  • An up-to-date Curriculum Vitae
  • University transcripts and Proof of Degrees (e.g. photocopies of certificates)

AND

Have sent:

  • Two (2) letters of reference.

*The stipend is subject to the current collective agreement between CUPE and Saint Mary’s University

Applications should be received no later than March 21, 2021

 

PART-TIME POSITIONS

SPRING TERM 2021

CSCI 1227.1 + LAB

(Computer Programming & Problem Solving)

The Department of Mathematics & Computing Science is seeking to staff the following course and lab for the spring session, 2021:  May 03 – June 19.

CSCI 1227.1 MW 9:30am – 12:29pm – REMOTE

CSCI 1227.1L MW 1:30pm – 4:30pm – REMOTE

The course and lab are offered as a unit: preference will be given to instructors willing to teach the labs as well. All instruction will be delivered remotely (online) and applicants are expected to have access to sufficient technological resources – including internet connectivity and a webcam or similar equipment – to make this feasible.  The successful candidate(s) will be required to hold office hours and grade major assessments such as midterm and final examinations.

The stipend* for the CSCI1227.1 lecture is $4852.00 – $6137.50 (depending on experience at Saint Mary’s). The stipend* for the CSCI1227.1 Lab is $2426.00 – $3068.75 (depending on experience at Saint Mary’s).

The Department requires the following qualification and experience:

Minimum Master’s Degree in Computing Science.

Successful experience teaching Introductory Computing Science at the University level in Python.

Applications are invited in the first instance from part-time faculty colleagues who are on the Precedence List.

Send your application to:  ptpositions@cs.smu.ca

If you have never taught at Saint Mary’s,

Send:

  • An up-to-date Curriculum Vitae
  • University transcripts and Proof of Degrees (e.g. photocopies of certificates)

AND

Have sent:

  • Two (2) letters of reference.

*The stipend is subject to the current collective agreement between CUPE and Saint Mary’s University

Applications should be received no later than March 21, 2021

 

DAL
Position Title Part-Time Academic (MATH 1000.03 – Summer Term 2021)
Posting Number PTAP624P
Department/Unit Mathematics & Statistics
Location Halifax
Job Summary & Key Responsibilities The Part-Time Academic will be responsible for the delivery of Differential & Integral Calculus I (MATH 1000.03) in the upcoming summer term. The contract dates for teaching/delivery are from July 1 to August 31.

The topics to be covered in the course are available from the Department Chair. Course descriptions are provided in the Undergraduate Calendar published online ( https://academiccalendar.dal.ca ) by the Registrar’s Office, Dalhousie University.

Please see the academic timetable ( www.dal.ca/timetable ) for the days & times of this course. Please note this course is being delivered online.
Qualifications/Requirements of Position A combination of M.Sc. degree in Mathematics or Statistics and previous teaching experience is required. Completion of a PhD or PhD in progress is considered an asset. Experience with course delivery in an online environment is also an asset. The successful applicant must have demonstrated knowledge of the subject matter.

Please provide teaching evaluations if available.
Salary Range/Pay Rate Per CUPE Collective Agreement – Local 3912
Additional Information All offers of employment as a Part-Time Academic are conditional upon sufficient student enrolment in the course and approval by the University. Dalhousie University is committed to fostering a collegial culture grounded in diversity and inclusiveness. The university encourages applications from Aboriginal people, persons with a disability, racially visible persons, women, persons of minority sexual orientations and gender identities, and all candidates who would contribute to the diversity of our community.
Term of appointment July 1, 2021 to August 31, 2021
Open Date 03/09/2021
Close Date 03/21/2021
Open Until Filled
Quick Link for Direct Access to Posting http://dal.peopleadmin.ca/postings/5585

Documents Needed to Apply

Required Documents

  1. Cover Letter
  2. Résumé / Curriculum Vitae (CV)
  3. List of referees

Optional Documents

  1. Teaching Dossier
Position Title Part-Time Academic (MATH 1290.03 – Summer Term 2021)
Posting Number PTAP625P
Department/Unit Mathematics & Statistics
Location Halifax
Job Summary & Key Responsibilities The Part-Time Academic will be responsible for the delivery of Engineering Mathematics II (MATH 1290.03) in the upcoming summer term. The contract dates for teaching/delivery are from July 1 to August 31.

The topics to be covered in the course are available from the Department Chair. Course descriptions are provided in the Undergraduate Calendar published online ( https://academiccalendar.dal.ca ) by the Registrar’s Office, Dalhousie University.

Please see the academic timetable ( www.dal.ca/timetable ) for the days & times of this course. Please note this course is being delivered online.
Qualifications/Requirements of Position A combination of M.Sc. degree in Mathematics or Statistics and previous teaching experience is required. Completion of a PhD or PhD in progress is considered an asset. Experience with course delivery in an online environment is also an asset. The successful applicant must have demonstrated knowledge of the subject matter.

Please provide teaching evaluations if available.
Salary Range/Pay Rate Per CUPE Collective Agreement – Local 3912
Additional Information All offers of employment as a Part-Time Academic are conditional upon sufficient student enrolment in the course and approval by the University. Dalhousie University is committed to fostering a collegial culture grounded in diversity and inclusiveness. The university encourages applications from Aboriginal people, persons with a disability, racially visible persons, women, persons of minority sexual orientations and gender identities, and all candidates who would contribute to the diversity of our community.
Term of appointment July 1, 2021 to August 31, 2021
Open Date 03/09/2021
Close Date 03/21/2021
Open Until Filled
Quick Link for Direct Access to Posting http://dal.peopleadmin.ca/postings/5586

Documents Needed to Apply

Required Documents

  1. Cover Letter
  2. Résumé / Curriculum Vitae (CV)
  3. List of referees

Optional Documents

  1. Teaching Dossier
Position Title Part-Time Academic (STAT/MATH 2080.03 – Summer 2021)
Posting Number PTAP626P
Department/Unit Mathematics & Statistics
Location Halifax
Job Summary & Key Responsibilities The Part-Time Academic will be responsible for teaching Statistical Methods for Data Analysis and Inference (STAT/MATH 2080.03) in the summer 2021 term (contract dates July 1 to August 31).

The topics to be covered in the course are available from the Department Chair. Course descriptions are provided in the Undergraduate Calendar published online ( https://academiccalendar.dal.ca ) by the Registrar’s Office, Dalhousie University.

Please see the academic timetable ( www.dal.ca/timetable ) for the days & times of this course. This course is being delivered in an online format.
Qualifications/Requirements of Position A combination of M.Sc. degree in Mathematics or Statistics and previous teaching experience is required. Completion of a PhD or PhD in progress is considered an asset. The successful applicant must have demonstrated knowledge of the subject matter. Experience teaching large online classes or direct experience of teaching this class is considered an asset.

Please provide teaching evaluations if available.
Salary Range/Pay Rate Per CUPE Collective Agreement – Local 3912
Additional Information All offers of employment as a Part-Time Academic are conditional upon sufficient student enrolment in the course and approval by the University. Dalhousie University is committed to fostering a collegial culture grounded in diversity and inclusiveness. The university encourages applications from Aboriginal people, persons with a disability, racially visible persons, women, persons of minority sexual orientations and gender identities, and all candidates who would contribute to the diversity of our community.
Term of appointment July 1, 2021 to August 31, 2021
Open Date 03/09/2021
Close Date 03/21/2021
Open Until Filled
Quick Link for Direct Access to Posting http://dal.peopleadmin.ca/postings/5587

Documents Needed to Apply

Required Documents

  1. Cover Letter
  2. Résumé / Curriculum Vitae (CV)
  3. List of referees

Optional Documents

  1. Teaching Dossier
Position Title Part-Time Academic (STAT 2450.03 – Summer Term of 2021)
Posting Number PTAP627P
Department/Unit Mathematics & Statistics
Location Halifax
Job Summary & Key Responsibilities The Part-Time Academic will be responsible for teaching section 01 of Intro Data Mining with R (STAT 2450.03) in the upcoming summer term (contract dates July 1 to August 31).

The topics to be covered in the course are available from the Department Chair. Course descriptions are provided in the Undergraduate Calendar published online ( https://academiccalendar.dal.ca ) by the Registrar’s Office, Dalhousie University.

Please see the academic timetable ( www.dal.ca/timetable ) for the days, times & location(s) of this course. Please note this course is being delivered online.
Qualifications/Requirements of Position A combination of M.Sc. degree in Mathematics or Statistics and previous teaching experience is required. Completion of a PhD or PhD in progress is considered an asset. The successful applicant must have demonstrated knowledge of the subject matter. Experience teaching large online classes or direct experience of teaching this class is considered an asset.

Please provide teaching evaluations if available.
Salary Range/Pay Rate Per CUPE Collective Agreement – Local 3912
Additional Information All offers of employment as a Part-Time Academic are conditional upon sufficient student enrolment in the course and approval by the University. Dalhousie University is committed to fostering a collegial culture grounded in diversity and inclusiveness. The university encourages applications from Aboriginal people, persons with a disability, racially visible persons, women, persons of minority sexual orientations and gender identities, and all candidates who would contribute to the diversity of our community.
Term of appointment July 1, 2021 to August 31, 2021
Open Date 03/09/2021
Close Date 03/21/2021
Open Until Filled
Quick Link for Direct Access to Posting http://dal.peopleadmin.ca/postings/5588

Documents Needed to Apply

Required Documents

  1. Cover Letter
  2. Résumé / Curriculum Vitae (CV)
  3. List of referees

Optional Documents

  1. Teaching Dossier
MSVU

————————————————–
Department/Faculty: Mathematics
Course Name: Introduction to Statistics II
Course Code: MATH 2209 38
Academic Term: Summer Session II
Class Timetable: T 7:00PM – 9:00PM Synchronous Online
Course Unit Value: 0.50

—————————————————
Start Date: 7/5/2021
End Date: 8/20/2021
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
advanced coursework in Statistics.In addition, experience teaching similar introductory statistics to
non-science majors is required.Candidates must also have experience using the Blackboard/Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. In addition, experience with
the use of MINITAB for data analysis is required. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
Synchronous and asynchronous discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
This is a coordinated course with a laboratory component. The laboratory
components are taught by the laboratory instructor.  Instructors are
required to follow the common course syllabus and guidelines for
assignments, midterm and final exams, and grades.Due to distance, the mailing of materials may extend beyond the
traditional time frames of the course.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.caApplication deadline: 3/26/2021
—————————————————

————————————————–
Department/Faculty: Mathematics
Course Name: Introduction to Statistics II
Course Code: MATH 2209 28
Academic Term: Summer Session II
Class Timetable: W 7:00PM – 9:00PM Synchronous Online
Course Unit Value: 0.50

—————————————————
Start Date: 7/5/2021
End Date: 8/20/2021
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
advanced coursework in Statistics.In addition, experience teaching similar introductory statistics to
non-science majors is required.Candidates must also have experience using the Blackboard/Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. In addition, experience with
the use of MINITAB for data analysis is required. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
Synchronous and asynchronous discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
This is a coordinated course with a laboratory component. The laboratory
components are taught by the laboratory instructor.  Instructors are
required to follow the common course syllabus and guidelines for
assignments, midterm and final exams, and grades.Due to distance, the mailing of materials may extend beyond the
traditional time frames of the course.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.caApplication deadline: 3/26/2021
—————————————————

————————————————– 
Department/Faculty: Mathematics
Course Name: Introduction to Statistics II
Course Code: MATH 2209 19
Academic Term: Summer Session II
Class Timetable: T 8:00PM – 10:00PM Synchronous Online
Course Unit Value: 0.50
—————————————————
Start Date: 7/5/2021
End Date: 8/20/2021
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of 
advanced coursework in Statistics.

In addition, experience teaching similar introductory statistics to 
non-science majors is required.

Candidates must also have experience using the Blackboard/Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. In addition, experience with
the use of MINITAB for data analysis is required. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
Synchronous and asynchronous discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
This is a coordinated course with a laboratory component. The laboratory
components are taught by the laboratory instructor.  Instructors are
required to follow the common course syllabus and guidelines for
assignments, midterm and final exams, and grades.

Due to distance, the mailing of materials may extend beyond the
traditional time frames of the course.

—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.caApplication deadline: 3/26/2021
—————————————————

————————————————–
Department/Faculty: Mathematics
Course Name: LAB: Intro to Statistics II
Course Code: MATH 209D DC
Academic Term: Summer Session II
Class Timetable: TH 9:30PM – 10:45PM Synchronous Online
Course Unit Value: 0.125

—————————————————
Start Date: 7/5/2021
End Date: 8/20/2021
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics.In addition, experience teaching similar introductory statistics labs to
non-science majors is required.Candidates must also have experience using the Blackboard/Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. In addition, experience with
the use of MINITAB for data analysis is required. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
Synchronous and asynchronous discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Statistics Laboratory Instructor. The
lab instructor is required to follow the course syllabus and guidelines
for lab assignments and grading.Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness.Due to distance, the mailing of materials may extend beyond the
traditional time frames.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.caApplication deadline: 3/26/2021
—————————————————

—————————————————
Department/Faculty: Mathematics
Course Name: LAB: Intro to Statistics II
Course Code: MATH 209D DB
Academic Term: Summer Session II
Class Timetable: TH 8:00PM – 9:15PM Synchronous Online
Course Unit Value: 0.125

—————————————————
Start Date: 7/5/2021
End Date: 8/20/2021
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics.In addition, experience teaching similar introductory statistics labs to
non-science majors is required.Candidates must also have experience using the Blackboard/Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. In addition, experience with
the use of MINITAB for data analysis is required. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
Synchronous and asynchronous discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Statistics Laboratory Instructor. The
lab instructor is required to follow the course syllabus and guidelines
for lab assignments and grading.Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness.Due to distance, the mailing of materials may extend beyond the
traditional time frames.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.caApplication deadline: 3/26/2021
—————————————————

—————————————————
Department/Faculty: Mathematics
Course Name: LAB: Intro to Statistics II
Course Code: MATH 209D DA
Academic Term: Summer Session II
Class Timetable: TH 6:30PM – 7:45PM Synchronous Online
Course Unit Value: 0.125
—————————————————
Start Date: 7/5/2021
End Date: 8/20/2021

—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics.In addition, experience teaching similar introductory statistics labs to
non-science majors is required.Candidates must also have experience using the Blackboard/Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. In addition, experience with
the use of MINITAB for data analysis is required. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
Synchronous and asynchronous discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Statistics Laboratory Instructor. The
lab instructor is required to follow the course syllabus and guidelines
for lab assignments and grading.Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness.Due to distance, the mailing of materials may extend beyond the
traditional time frames.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.ca

Application deadline: 3/26/2021
—————————————————

—————————————————
Department/Faculty: Mathematics
Course Name: LAB: Intro to Statistics II
Course Code: MATH 209D DC
Academic Term: Summer Session I
Class Timetable: TH 6:30PM – 7:45PM Synchronous Online
Course Unit Value: 0.125

—————————————————
Start Date: 5/10/2021
End Date: 6/25/2021
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics.In addition, experience teaching similar introductory statistics labs to
non-science majors is required.Candidates must also have experience using the Blackboard/Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. In addition, experience with
the use of MINITAB for data analysis is required. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
Synchronous and asynchronous discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Statistics Laboratory Instructor. The
lab instructor is required to follow the course syllabus and guidelines
for lab assignments and grading.Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness.Due to distance, the mailing of materials may extend beyond the
traditional time frames.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.caApplication deadline: 3/12/2021
—————————————————

—————————————————
Department/Faculty: Mathematics
Course Name: LAB: Intro to Statistics II
Course Code: MATH 209D DB
Academic Term: Summer Session I
Class Timetable: TH 9:30PM – 10:45PM Synchronous Online
Course Unit Value: 0.125

—————————————————
Start Date: 5/10/2021
End Date: 6/25/2021
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics.In addition, experience teaching similar introductory statistics labs to
non-science majors is required.Candidates must also have experience using the Blackboard/Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. In addition, experience with
the use of MINITAB for data analysis is required. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
Synchronous and asynchronous discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Statistics Laboratory Instructor. The
lab instructor is required to follow the course syllabus and guidelines
for lab assignments and grading.Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness.Due to distance, the mailing of materials may extend beyond the
traditional time frames.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.caApplication deadline: 3/12/2021
—————————————————

————————————————— 
Department/Faculty: Mathematics
Course Name: LAB: Intro to Statistics II
Course Code: MATH 209D DA
Academic Term: Summer Session I
Class Timetable: TH 8:00PM – 9:15PM Synchronous Online
Course Unit Value: 0.125

—————————————————
Start Date: 5/10/2021
End Date: 6/25/2021
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics.In addition, experience teaching similar introductory statistics labs to
non-science majors is required.Candidates must also have experience using the Blackboard/Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. In addition, experience with
the use of MINITAB for data analysis is required. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
Synchronous and asynchronous discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Statistics Laboratory Instructor. The
lab instructor is required to follow the course syllabus and guidelines
for lab assignments and grading.Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness.Due to distance, the mailing of materials may extend beyond the
traditional time frames.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.caApplication deadline: 3/12/2021
—————————————————

————————————————–
Department/Faculty: Mathematics
Course Name: LAB: Intro to Statistics I
Course Code: MATH 208L DF
Academic Term: Summer Session I
Class Timetable: TTH 12:00PM – 1:15PM Synchronous Online
Course Unit Value: 0.125

—————————————————
Start Date: 5/10/2021
End Date: 6/25/2021
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics.In addition, experience teaching similar introductory statistics labs to
non-science majors is required.Candidates must also have experience using the Blackboard/Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. In addition, experience with
the use of MINITAB for data analysis is required. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
Synchronous and asynchronous discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Statistics Laboratory Instructor. The
lab instructor is required to follow the course syllabus and guidelines
for lab assignments and grading.Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness.Due to distance, the mailing of materials may extend beyond the
traditional time frames.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.caApplication deadline: 3/12/2021
—————————————————

————————————————–
Department/Faculty: Mathematics
Course Name: LAB: Intro to Statistics I
Course Code: MATH 208D DE
Academic Term: Summer Session I
Class Timetable: TH 9:30PM – 10:45PM Synchronous Online
Course Unit Value: 0.125

—————————————————
Start Date: 5/10/2021
End Date: 6/25/2021
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics.In addition, experience teaching similar introductory statistics labs to
non-science majors is required.Candidates must also have experience using the Blackboard/Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. In addition, experience with
the use of MINITAB for data analysis is required. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
Synchronous and asynchronous discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Statistics Laboratory Instructor. The
lab instructor is required to follow the course syllabus and guidelines
for lab assignments and grading.Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness.Due to distance, the mailing of materials may extend beyond the
traditional time frames.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.caApplication deadline: 3/12/2021
—————————————————

————————————————–
Department/Faculty: Mathematics
Course Name: LAB: Intro to Statistics I
Course Code: MATH 208D DD
Academic Term: Summer Session I
Class Timetable: TH 8:00PM – 9:15PM Synchronous Online
Course Unit Value: 0.125

—————————————————
Start Date: 5/10/2021
End Date: 6/25/2021
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics.In addition, experience teaching similar introductory statistics labs to
non-science majors is required.Candidates must also have experience using the Blackboard/Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. In addition, experience with
the use of MINITAB for data analysis is required. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
Synchronous and asynchronous discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Statistics Laboratory Instructor. The
lab instructor is required to follow the course syllabus and guidelines
for lab assignments and grading.Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness.Due to distance, the mailing of materials may extend beyond the
traditional time frames.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.caApplication deadline: 3/12/2021
—————————————————

————————————————–
Department/Faculty: Mathematics
Course Name: LAB: Intro to Statistics I
Course Code: MATH 208D DC
Academic Term: Summer Session I
Class Timetable: W 6:30PM – 7:45PM Synchronous Online
Course Unit Value: 0.125

—————————————————
Start Date: 5/10/2021
End Date: 6/25/2021
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics.In addition, experience teaching similar introductory statistics labs to
non-science majors is required.Candidates must also have experience using the Blackboard/Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. In addition, experience with
the use of MINITAB for data analysis is required. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
Synchronous and asynchronous discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Statistics Laboratory Instructor. The
lab instructor is required to follow the course syllabus and guidelines
for lab assignments and grading.Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness.Due to distance, the mailing of materials may extend beyond the
traditional time frames.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.caApplication deadline: 3/12/2021
—————————————————

—————————————————
Department/Faculty: Mathematics
Course Name: LAB: Intro to Statistics I
Course Code: MATH 208D DB
Academic Term: Summer Session I
Class Timetable: TH 6:30PM – 7:45PM Synchronous Online
Course Unit Value: 0.125

—————————————————
Start Date: 5/10/2021
End Date: 6/25/2021
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics.In addition, experience teaching similar introductory statistics labs to
non-science majors is required.Candidates must also have experience using the Blackboard/Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. In addition, experience with
the use of MINITAB for data analysis is required. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
Synchronous and asynchronous discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Statistics Laboratory Instructor. The
lab instructor is required to follow the course syllabus and guidelines
for lab assignments and grading.Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness.Due to distance, the mailing of materials may extend beyond the
traditional time frames.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.caApplication deadline: 3/12/2021
—————————————————

————————————————— 
Department/Faculty: Mathematics
Course Name: LAB: Intro to Statistics I
Course Code: MATH 208D DA
Academic Term: Summer Session I
Class Timetable: W 8:00PM – 9:15PM Sync. Online
Course Unit Value: 0.125
—————————————————
Start Date: 5/10/2021
End Date: 6/25/2021
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field 
related to Statistics. The candidate must have completed at least one unit 
of coursework in Statistics.

In addition, experience teaching similar introductory statistics labs to 
non-science majors is required.

Candidates must also have experience using the Blackboard/Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. In addition, experience with
the use of MINITAB for data analysis is required. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
Synchronous and asynchronous discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Statistics Laboratory Instructor. The 
lab instructor is required to follow the course syllabus and guidelines 
for lab assignments and grading.

Email messages from students received outside the scheduled laboratory 
time should be answered with reasonable promptness.

Due to distance, the mailing of materials may extend beyond the
traditional time frames.

—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.caApplication deadline: 3/12/2021
—————————————————

—————————————————
Department/Faculty: Mathematics
Course Name: Introduction to Statistics II
Course Code: MATH 2209 19
Academic Term: Summer Session I
Class Timetable: W 8:00PM – 10:00PM Synchronous Online
Course Unit Value: 0.5

—————————————————
Start Date: 5/10/2021
End Date: 6/25/2021
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
advanced coursework in Statistics.In addition, experience teaching similar introductory statistics to
non-science majors is required.Candidates must also have experience using the Blackboard/Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. In addition, experience with
the use of MINITAB for data analysis is required. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
Synchronous and asynchronous discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
This is a coordinated course with a laboratory component. The laboratory
components are taught by the laboratory instructor.  Instructors are
required to follow the common course syllabus and guidelines for
assignments, midterm and final exams, and grades.Due to distance, the mailing of materials may extend beyond the
traditional time frames of the course.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.caApplication deadline: 3/12/2021
—————————————————

————————————————— 
Department/Faculty: Mathematics
Course Name: Introduction to Statistics II
Course Code: MATH 2209 18
Academic Term: Summer Session I
Class Timetable: T 8:00PM – 10:00PM Synchronous Online
Course Unit Value: 0.5

—————————————————
Start Date: 5/10/2021
End Date: 6/25/2021
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
advanced coursework in Statistics.In addition, experience teaching similar introductory statistics to
non-science majors is required.Candidates must also have experience using the Blackboard/Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. In addition, experience with
the use of MINITAB for data analysis is required. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
Synchronous and asynchronous discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
This is a coordinated course with a laboratory component. The laboratory
components are taught by the laboratory instructor.  Instructors are
required to follow the common course syllabus and guidelines for
assignments, midterm and final exams, and grades.Due to distance, the mailing of materials may extend beyond the
traditional time frames of the course.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.caApplication deadline: 3/12/2021
—————————————————

————————————————–
Department/Faculty: Mathematics
Course Name: Introduction to Statistics I
Course Code: MATH 2208 38
Academic Term: Summer Session I
Class Timetable: TTH 10:30AM – 11:45AM Synchronous Online
Course Unit Value: 0.5

—————————————————
Start Date: 5/10/2021
End Date: 6/25/2021
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
advanced coursework in Statistics.In addition, experience teaching similar introductory statistics to
non-science majors is required.Candidates must also have experience using the Blackboard/Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. In addition, experience with
the use of MINITAB for data analysis is required. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
Synchronous and asynchronous discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
This is a coordinated course with a laboratory component. The laboratory
components are taught by the laboratory instructor.  Instructors are
required to follow the common course syllabus and guidelines for
assignments, midterm and final exams, and grades.Due to distance, the mailing of materials may extend beyond the
traditional time frames of the course.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.caApplication deadline: 3/12/2021
—————————————————

————————————————–
Department/Faculty: Mathematics
Course Name: Introduction to Statistics I
Course Code: MATH 2208 28
Academic Term: Summer Session I
Class Timetable: T 7:00PM – 9:00PM Synchronous Online
Course Unit Value: 0.5

—————————————————
Start Date: 5/10/2021
End Date: 6/25/2021
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
advanced coursework in Statistics.In addition, experience teaching similar introductory statistics to
non-science majors is required.Candidates must also have experience using the Blackboard/Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. In addition, experience with
the use of MINITAB for data analysis is required. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
Synchronous and asynchronous discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
This is a coordinated course with a laboratory component. The laboratory
components are taught by the laboratory instructor.  Instructors are
required to follow the common course syllabus and guidelines for
assignments, midterm and final exams, and grades.Due to distance, the mailing of materials may extend beyond the
traditional time frames of the course.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.caApplication deadline: 3/12/2021
—————————————————

————————————————–
Department/Faculty: Mathematics
Course Name: Introduction to Statistics I
Course Code: MATH 2208 19
Academic Term: Summer Session I
Class Timetable: W 8:00PM – 10:00PM Synchronous Online
Course Unit Value: 0.5

—————————————————
Start Date: 5/10/2021
End Date: 6/25/2021
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
advanced coursework in Statistics.In addition, experience teaching similar introductory statistics to
non-science majors is required.Candidates must also have experience using the Blackboard/Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. In addition, experience with
the use of MINITAB for data analysis is required. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
Synchronous and asynchronous discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
This is a coordinated course with a laboratory component. The laboratory
components are taught by the laboratory instructor.  Instructors are
required to follow the common course syllabus and guidelines for
assignments, midterm and final exams, and grades.Due to distance, the mailing of materials may extend beyond the
traditional time frames of the course.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.caApplication deadline: 3/12/2021
—————————————————

—————————————————
Department/Faculty: Mathematics
Course Name: Introduction to Statistics I
Course Code: MATH 2208 18
Academic Term: Summer Session I
Class Timetable: T 8:00PM – 10:00PM Synchronous Online
Course Unit Value: 0.5

—————————————————
Start Date: 5/10/2021
End Date: 6/25/2021
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
advanced coursework in Statistics.In addition, experience teaching similar introductory statistics to
non-science majors is required.Candidates must also have experience using the Blackboard/Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. In addition, experience with
the use of MINITAB for data analysis is required. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
Synchronous and asynchronous discussions occur during the week on-line.—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
This is a coordinated course with a laboratory component. The laboratory
components are taught by the laboratory instructor.  Instructors are
required to follow the common course syllabus and guidelines for
assignments, midterm and final exams, and grades.Due to distance, the mailing of materials may extend beyond the
traditional time frames of the course.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.caApplication deadline: 3/12/2021
—————————————————

————————————————– 
Department/Faculty: Mathematics
Course Name: Introduction to Statistics I
Course Code: MATH 2208 03
Academic Term: Summer Session I
Class Timetable: TTH 1:30PM – 2:45PM Synchronous Online
Course Unit Value: 0.5
—————————————————
Start Date: 5/10/2021
End Date: 6/25/2021
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
advanced coursework in Statistics.

In addition, experience teaching similar introductory statistics to
non-science majors is required.

Candidates must also have experience using the Blackboard/Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. In addition, experience with 
the use of MINITAB for data analysis is required. Candidates must also be sensitive to the needs of distant, mature and part-time learners. Synchronous and asynchronous discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
This is a coordinated course with a laboratory component. The laboratory
components are taught by the laboratory instructor.  Instructors are
required to follow the common course syllabus and guidelines for
assignments, midterm and final exams, and grades.

Due to distance, the mailing of materials may extend beyond the
traditional time frames of the course.

—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.caApplication deadline: 3/12/2021
—————————————————

————————————————— 
Department/Faculty: Mathematics
Course Name: Introduction to Statistics II
Course Code: MATH 2209 01
Academic Term: Summer Session I
Class Timetable: MTWTHF 9:00AM – 11:30AM On-Campus
Course Unit Value: 0.5
—————————————————
Start Date: 6/3/2021
End Date: 6/25/2021

—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
advanced coursework in Statistics.In addition, experience teaching similar introductory statistics to
non-science majors is required.Experience with teaching online, and with Moodle and
Blackboard/Collaborate virtual classroom would be an asset. In addition,
experience with the use of MINITAB for data analysis is required.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
This is a coordinated course with a laboratory component. The laboratory
components are taught by the laboratory instructor.  Instructors are
required to follow the common course syllabus and guidelines for
assignments, midterm and final exams, and grades.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.caApplication deadline: 3/12/2021
—————————————————

————————————————– 
Department/Faculty: Mathematics
Course Name: Introduction to Statistics I
Course Code: MATH 2208 01
Academic Term: Summer Session I
Class Timetable: MTWTHF 9:00AM – 11:30AM On-campus
Course Unit Value: 0.5
—————————————————
Start Date: 5/10/2021
End Date: 6/2/2021
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of 
advanced coursework in Statistics.

In addition, experience teaching similar introductory statistics to 
non-science majors is required.

Experience with teaching online, and with Moodle and 
Blackboard/Collaborate virtual classroom would be an asset. In addition, 
experience with the use of MINITAB for data analysis is required.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
This is a coordinated course with a laboratory component. The laboratory 
components are taught by the laboratory instructor.  Instructors are 
required to follow the common course syllabus and guidelines for 
assignments, midterm and final exams, and grades.

—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.caApplication deadline: 3/12/2021
—————————————————

—————————————————
Department/Faculty: Mathematics
Course Name: Statistics and Mathematics Preparation
Course Code: MATH 0027 01
Academic Term: Summer Session I
Class Timetable: Asynchronous Online
Course Unit Value: 0.5
—————————————————
Start Date: 5/10/2021
End Date: 6/25/2021
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Mathematics or Statistics.

In addition, experience teaching a similar course to prepare non-science
majors who will be taking further Mathematics and/or Statistics courses is
required.

Candidates must also have experience using the Blackboard/Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
Synchronous and asynchronous discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Due to distance, the mailing of materials may extend beyond the
traditional time frames of the course.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Statistics
Email: msvumath@msvu.ca

Application deadline: 3/12/2021
—————————————————

DAL

Position Title Part-Time Academic (STAT/MATH 1060.03 – Summer 2021)
Posting Number PTAP616P
Department/Unit Mathematics & Statistics
Location Halifax
Job Summary & Key Responsibilities The Part-Time Academic will be responsible for teaching Introductory Statistics for Science and Health Sciences (STAT/MATH 1060.03) in the summer 2021 term (contract dates May 1 to June 30).

The topics to be covered in the course are available from the Department Chair. Course descriptions are provided in the Undergraduate Calendar published online ( https://academiccalendar.dal.ca ) by the Registrar’s Office, Dalhousie University.

Please see the academic timetable ( www.dal.ca/timetable ) for the days & times of this course. This course is being delivered in an online format.
Qualifications/Requirements of Position A combination of M.Sc. degree in Mathematics or Statistics and previous teaching experience is required. Completion of a PhD or PhD in progress is considered an asset. Experience with course delivery in an online environment is also an asset. The successful applicant must have demonstrated knowledge of the subject matter.

Please provide teaching evaluations if available.
Salary Range/Pay Rate Per CUPE Collective Agreement – Local 3912
Additional Information All offers of employment as a Part-Time Academic are conditional upon sufficient student enrolment in the course and approval by the University. Dalhousie University is committed to fostering a collegial culture grounded in diversity and inclusiveness. The university encourages applications from Aboriginal people, persons with a disability, racially visible persons, women, persons of minority sexual orientations and gender identities, and all candidates who would contribute to the diversity of our community.
Term of appointment May 1, 2021 to June 30, 2021
Open Date 03/03/2021
Close Date 03/14/2021
Open Until Filled
Quick Link for Direct Access to Posting http://dal.peopleadmin.ca/postings/5541

Documents Needed to Apply

Required Documents

  1. Cover Letter
  2. Résumé / Curriculum Vitae (CV)
  3. List of referees

Optional Documents

  1. Teaching Dossier
Position Title Part-Time Academic (MATH 1030.03 – Summer Term 2021)
Posting Number PTAP615P
Department/Unit Mathematics & Statistics
Location Halifax
Job Summary & Key Responsibilities The Part-Time Academic will be responsible for the delivery of Matrix Theory and Linear Algebra I (MATH 1030.03) in the upcoming summer term. The contract dates for teaching/delivery are from May 1 to June 30.

The topics to be covered in the course are available from the Department Chair. Course descriptions are provided in the Undergraduate Calendar published online ( https://academiccalendar.dal.ca ) by the Registrar’s Office, Dalhousie University.

Please see the academic timetable ( www.dal.ca/timetable ) for the days & times of this course. Please note this course is being delivered online.
Qualifications/Requirements of Position A combination of M.Sc. degree in Mathematics or Statistics and previous teaching experience is required. Completion of a PhD or PhD in progress is considered an asset. Experience with course delivery in an online environment is also an asset. The successful applicant must have demonstrated knowledge of the subject matter.

Please provide teaching evaluations if available.
Salary Range/Pay Rate Per CUPE Collective Agreement – Local 3912
Additional Information All offers of employment as a Part-Time Academic are conditional upon sufficient student enrolment in the course and approval by the University. Dalhousie University is committed to fostering a collegial culture grounded in diversity and inclusiveness. The university encourages applications from Aboriginal people, persons with a disability, racially visible persons, women, persons of minority sexual orientations and gender identities, and all candidates who would contribute to the diversity of our community.
Term of appointment May 1, 2021 to June 30, 2021
Open Date 03/03/2021
Close Date 03/14/2021
Open Until Filled
Quick Link for Direct Access to Posting http://dal.peopleadmin.ca/postings/5542

Documents Needed to Apply

Required Documents

  1. Cover Letter
  2. Résumé / Curriculum Vitae (CV)
  3. List of referees

Optional Documents

  1. Teaching Dossier
SMU

Course: MCDA 5570

Big Data and Information Technology Management

Department: M.Sc. in Computing and Data Analytics, Faculty of Science

Semester: May-August 2021

Schedule: Lectures Tuesday 5:30-6:45pm 

Academic Calendar Description:

Students are provided with processes, models, and frameworks to develop organizational IT strategy in the context of big data. Students focus on leading software and hardware platforms, business software applications and their strategy maps (CRM, ERP, supply chain management, product lifecycle management. Technology adoption, emerging technologies, and diffusion of innovations are covered. 

Qualifications:

  • Minimum Master’s Degree 
  • 5-10 years of experience in managing computing hardware and software, including Hadoop, Spark, cloud Computing, general system administration, hardware and software acquisition, setting up servers, networks, web services, SQL server, NoSQL server such as Mongo DB, server-side web programming services including PHP and node.js, creating and managing desktop images in a lab environment.
  • Experience working within an industry context.

Duties:

Duties include course/lecture preparation/delivery; in-class teaching; preparation and evaluation of all student assessments.  The successful candidate will be required to hold office hours and collaborate with M.Sc. CDA faculty and industry professors. 

Remuneration: 

Remuneration is in accordance with the Collective Agreement between Saint Mary’s University and CUPE 3912

How to Apply: 

Applications are invited in the first instance from part-time faculty colleagues on the Saint Mary’s precedence list. Applicants who currently hold a part-time teaching appointment at Saint Mary’s University should submit a cover letter and a C.V. Applicants who do not currently hold a part-time teaching appointment at Saint Mary’s University should submit a complete application (including a cover letter, CV, proof of academic credentials, name and contact information of three referees, and any evidence of teaching effectiveness).

Submissions are made as a single PDF file sent directly via email to: msc.cda@smu.ca 

Application deadline: February 17, 2021

Saint Mary’s University hires on the basis of merit and is committed to the principles of employment equity. Saint Mary’s University encourages applications from qualified women, visible minorities, Aboriginal people, and people with disabilities. Preference will be given to Canadian citizens and permanent residents of Canada.

Course: MCDA 5550

Web, Mobile, and Cloud Application Development

Department: M.Sc. in Computing and Data Analytics, Faculty of Science

Semester: May-Aug 2021

Schedule: Lectures Saturday 10:00am – 12:45pm 

Academic Calendar Description:

Students develop applications that are accessible through the internet on a variety of platforms including cloud environments and mobile devices. An emphasis is placed on designing and deploying mobile applications; push technology; data structures and memory management; interface design; Scalable Vector Graphics (SVG); cloud computing; and privacy/security.

Qualifications:

  • Minimum Master’s Degree 
  • 5-10 years of experience in managing software development across platforms including Web, Mobile, and Cloud Computing.
  • Experience working within an industry context. 

Duties:

Duties include course/lecture preparation/delivery; in-class teaching; preparation and evaluation of all student assessments.  The successful candidate will be required to hold office hours and collaborate with M.Sc. CDA faculty and industry professors. 

Remuneration: 

Remuneration is in accordance with the Collective Agreement between Saint Mary’s University and CUPE 3912

How to Apply: 

Applications are invited in the first instance from part-time faculty colleagues on the Saint Mary’s precedence list. Applicants who currently hold a part-time teaching appointment at Saint Mary’s University should submit a cover letter and a C.V. Applicants who do not currently hold a part-time teaching appointment at Saint Mary’s University should submit a complete application (including a cover letter, CV, proof of academic credentials, name and contact information of three referees, and any evidence of teaching effectiveness).

Submissions are made as a single PDF file sent directly via email to: msc.cda@smu.ca 

Application deadline: February 17, 2021

Saint Mary’s University hires on the basis of merit and is committed to the principles of employment equity. Saint Mary’s University encourages applications from qualified women, visible minorities, Aboriginal people, and people with disabilities. Preference will be given to Canadian citizens and permanent residents of Canada.

 

PART-TIME POSITIONS

WINTER TERM 2021

MATH1190.2 REC C

(Pre-Calculus Review)

The Department of Mathematics & Computing Science is seeking to staff the following courses for the winter semester, 2021:

MATH1190.2RC        F                      11:00am – 12:45pm                REMOTE

All instruction will be delivered remotely (online, synchronously) and applicants are expected to have access to sufficient technological resources – including internet connectivity and a webcam or similar equipment – to make this feasible.  The successful candidate(s) will be required to hold office hours, and will invigilate (if needed, and remotely) and mark midterm and final examinations.  Recitation instructors may be required to share the preparation of assignments and worksheets using TeX, and to work with grading software.

The stipend* for MATH1190.2 is $4852.00 – $6137.50 (depending on experience at Saint Mary’s). The stipend* for each MATH1190.2 Recitation is $2426.00 – $3068.75 (depending on experience at Saint Mary’s).

The Department requires the following qualification and experience:

Minimum Master’s Degree in Mathematics or Mathematics Education

Successful experience teaching Calculus or Pre-Calculus at the University level.

Applications are invited in the first instance from part-time faculty colleagues who are on the Precedence List.

Send your application to:

Part time positions at ptpositions@cs.smu.ca

Or Department of Mathematics & Computing Science

Saint Mary’s University

Halifax, Nova Scotia

B3H 3C3

If you have never taught at Saint Mary’s,
Send:
-An up-to-date Curriculum Vitae
-University transcripts and Proof of Degrees (e.g. photocopies of certificates)

AND

Have sent:
-Two (2) letters of reference.

*The stipend is subject to the current collective agreement between CUPE and Saint Mary’s University

Applications should be received no later than December 13, 2020

PART-TIME POSITIONS

WINTER TERM 2021

CSCI 1226.2 LAB C

(Introduction to Computing Science & Programming)

The Department of Mathematics & Computing Science is seeking to staff the following lab for the winter semester, 2021:

CSCI 1226.2LC       F          1:00pm – 3:30pm                 –           REMOTE

The successful candidate will be required to hold office hours and will invigilate and mark midterm and final examinations.

The stipend for the CSCI 1226.2 Lab C is $2426.00 – $3068.75 (depending on experience at Saint Mary’s).

The Department requires the following qualification and experience:

Minimum Master’s Degree in Computing Science.

Successful experience teaching Introductory Computing Science

at the University level in Java.

Applications are invited in the first instance from part-time faculty colleagues who are on the Precedence List.

Send your application to:  ptpositions@cs.smu.ca

If you have never taught at Saint Mary’s,

Send: An up-to-date Curriculum Vitae
– University transcripts and Proof of Degrees (e.g. photocopies of certificates)

AND

Have sent: Two (2) letters of reference.

*The stipend is subject to the current collective agreement between CUPE and Saint Mary’s University

Applications should be received no later than December 7, 2020

PART-TIME POSITIONS

WINTER TERM 2021

CSCI 1228.2 LAB

(Advanced Computer Programming & Problem Solving)

The Department of Mathematics & Computing Science is seeking to staff the following lab for the winter session, 2021.

CSCI 1228.2LB       MW     8:30am – 9:45am           –        REMOTE

The successful candidate(s) will be required to hold office hours and will invigilate and mark midterm and final examinations.

The stipend for a CSCI 1228.2 Lab is $2426.00 – $3068.75 (depending on experience at Saint Mary’s).

The Department requires the following qualification and experience:

Minimum Master’s Degree in Computing Science.

Successful experience teaching Introductory Computing Science at the University level in Java.

Applications are invited in the first instance from part-time faculty colleagues who are on the Precedence List.

Send your application to:  ptpositions@cs.smu.ca

If you have never taught at Saint Mary’s,

Send:

-An up-to-date Curriculum Vitae

-University transcripts and Proof of Degrees

(e.g. photocopies of certificates)

AND

Have sent:

-Two (2) letters of reference.

*The stipend is subject to the current collective agreement between CUPE and Saint Mary’s University

Applications should be received no later than December 1, 2020

PART-TIME POSITION

WINTER TERM 2021

CSCI 2356.2 (Course + Recitations)

(Mobile App Development)

The Department of Mathematics & Computing Science is seeking to staff the following course and recitations for the winter semester, 2021:

CSCI 2356.2            MW     4:00pm – 5:15pm     –           REMOTE

CSCI 2356.2RA       M        5:30pm – 7:00pm     –           REMOTE

CSCI 2356.2RB       W        5:30pm – 7:00pm     –           REMOTE

The course and recitations are offered as a unit: preference will be given to instructors willing to teach the recitations as well. The successful candidate will be required to hold office hours and will invigilate and mark midterm and final examinations.

The stipend* for CSCI 12356.2 is $4852.00 – $6137.50 (depending on experience at Saint Mary’s). The stipend* for a CSCI 2356.2 Rec. is $2426.00 – $3068.75 (depending on experience at Saint Mary’s).

The Department requires the following qualification and experience:

Minimum Master’s Degree in Computing Science.

Successful experience teaching Computing Science at the

University level, and in the Mobile App Development area.

Applications are invited in the first instance from part-time faculty colleagues who are on the Precedence List.

Send your application to:  ptpositions@cs.smu.ca

If you have never taught at Saint Mary’s,

Send:

-An up-to-date Curriculum Vitae

-University transcripts and Proof of Degrees

(e.g. photocopies of certificates)

AND

Have sent:

-Two (2) letters of reference.

*The stipend is subject to the current collective agreement between CUPE and Saint Mary’s University

Applications should be received no later than December 1, 2020

PART-TIME POSITION

WINTER TERM 2021

CSCI 4301.2 (Course)

(Systems Security)

The Department of Mathematics & Computing Science is seeking to staff the following course for the winter semester, 2021:

CSCI 4301.2            TR       5:30pm – 6:45pm     –           REMOTE

The successful candidate will be required to hold office hours and will invigilate and mark midterm and final examinations.

The stipend* for CSCI 4301.2 is $4852.00 – $6137.50 (depending on experience at Saint Mary’s).

The Department requires the following qualification and experience:

Minimum Master’s Degree in Computing Science.

Successful experience teaching Computing Science at the

University level, and in the Systems Security area.

Applications are invited in the first instance from part-time faculty colleagues who are on the Precedence List.

Send your application to:  ptpositions@cs.smu.ca

If you have never taught at Saint Mary’s,

Send:

-An up-to-date Curriculum Vitae

-University transcripts and Proof of Degrees

(e.g. photocopies of certificates)

AND

Have sent:

-Two (2) letters of reference.

*The stipend is subject to the current collective agreement between CUPE and Saint Mary’s University

Applications should be received no later than December 1, 2020

PART-TIME POSITIONS

WINTER TERM 2021

CSCI 1226.2 LAB B

(Introduction to Computing Science & Programming)

The Department of Mathematics & Computing Science is seeking to staff the following lab for the winter semester, 2021:

CSCI 1226.2LB       TR       1:00pm – 2:15pm                 –           REMOTE

The successful candidate will be required to hold office hours and will invigilate and mark midterm and final examinations.

The stipend for the CSCI 1226.2 Lab B is $2426.00 – $3068.75 (depending on experience at Saint Mary’s).

The Department requires the following qualification and experience:

Minimum Master’s Degree in Computing Science.

Successful experience teaching Introductory Computing Science

at the University level in Java.

Applications are invited in the first instance from part-time faculty colleagues who are on the Precedence List.

Send your application to:  ptpositions@cs.smu.ca

If you have never taught at Saint Mary’s,

Send:

-An up-to-date Curriculum Vitae

-University transcripts and Proof of Degrees

(e.g. photocopies of certificates)

AND

Have sent:

-Two (2) letters of reference.

*The stipend is subject to the current collective agreement between CUPE and Saint Mary’s University

*The stipend is subject to the current collective agreement between CUPE and Saint Mary’s University

Applications should be received no later than December 1, 2020

 

PART-TIME POSITIONS

WINTER TERM 2021

CSCI 1227.2 + LABS

(Computer Programming & Problem Solving)

The Department of Mathematics & Computing Science is seeking to staff the following courses and labs for the winter session, 2021.

CSCI 1227.2B         TR       8:30am – 9:45am           –        REMOTE

CSCI 1227.2LB       F          8:30am – 11:29am         –        REMOTE

CSCI 1227.2LD       F          2:30pm – 5:29pm           –        REMOTE

The course and labs are offered as a unit: preference will be given to instructors willing to teach the labs as well. The successful candidate(s) will be required to hold office hours and will invigilate and mark midterm and final examinations.

The stipend* for the CSCI 1227.2 lecture is $4852.00 – $6137.50 (depending on experience at Saint Mary’s). The stipend for a CSCI 1227.2 Lab is $2426.00 – $3068.75 (depending on experience at Saint Mary’s).

The Department requires the following qualification and experience:

Minimum Master’s Degree in Computing Science.

Successful experience teaching Introductory Computing Science at the University level in Python.

Applications are invited in the first instance from part-time faculty colleagues who are on the Precedence List.

Send your application to:  ptpositions@cs.smu.ca

If you have never taught at Saint Mary’s,

Send:

-An up-to-date Curriculum Vitae

-University transcripts and Proof of Degrees

(e.g. photocopies of certificates)

AND

Have sent:

-Two (2) letters of reference.

*The stipend is subject to the current collective agreement between CUPE and Saint Mary’s University

Applications should be received no later than December 1, 2020

PART-TIME POSITIONS

WINTER TERM 2021

MATH1190.2 + RECS.

(Pre-Calculus Review)

The Department of Mathematics & Computing Science is seeking to staff the following courses for the winter semester, 2021:

MATH1190.2             MW                 10:00am – 11:15am                REMOTE

MATH1190.2RA        R                     4:00pm – 5:15pm                    REMOTE

MATH1190.2RB        F                      10:00am – 11:15am                REMOTE

Preference for the lecturing position will be given to an applicant willing to teach at least one recitation as well. All instruction will be delivered remotely (online, synchronously) and applicants are expected to have access to sufficient technological resources – including internet connectivity and a webcam or similar equipment – to make this feasible.  The successful candidate(s) will be required to hold office hours, and will invigilate (if needed, and remotely) and mark midterm and final examinations.  Recitation instructors may be required to share the preparation of assignments and worksheets using TeX, and to work with grading software.

The stipend* for MATH1190.2 is $4852.00 – $6137.50 (depending on experience at Saint Mary’s). The stipend* for each MATH1190.2 Recitation is $2426.00 – $3068.75 (depending on experience at Saint Mary’s).

The Department requires the following qualification and experience:

Minimum Master’s Degree in Mathematics or Mathematics Education

Successful experience teaching Calculus or Pre-Calculus at the University level.

Applications are invited in the first instance from part-time faculty colleagues who are on the Precedence List.

Send your application to:

Part time positions at ptpositions@cs.smu.ca

Or Department of Mathematics & Computing Science

Saint Mary’s University

Halifax, Nova Scotia

B3H 3C3

If you have never taught at Saint Mary’s,

Send:

-An up-to-date Curriculum Vitae

-University transcripts and Proof of Degrees

(e.g. photocopies of certificates)

AND

Have sent:

-Two (2) letters of reference.

*The stipend is subject to the current collective agreement between CUPE and Saint Mary’s University

Applications should be received no later than December 1, 2020

 

PART-TIME POSITIONS

WINTER TERM 2021

MATH1203.2 (Course + Recitation)

(Concepts in High School Math)

The Department of Mathematics & Computing Science is seeking to staff the following courses for the winter semester, 2021:

MATH1203.2          TR       5:30pm – 6:45pm         –      REMOTE

MATH1203.2RA     T          7:00pm – 8:15pm         –      REMOTE

Preference for the lecturing position will be given to an applicant willing to teach at least one recitation as well. All instruction will be delivered remotely (online, synchronously) and applicants are expected to have access to sufficient technological resources – including internet connectivity and a webcam or similar equipment- to make this feasible.  The successful candidate(s) will be required to hold office hours, and will invigilate (if needed, and remotely) and mark midterm and final examinations.

The stipend* for MATH1203.2 is $4852.00 – $6137.50 (depending on experience at Saint Mary’s). The stipend* for this MATH1203.2 Recitation is $2426.00 – $3068.75 (depending on experience at Saint Mary’s).

The Department requires the following qualification and experience:

Minimum Master’s Degree in Mathematics or Mathematics Education

Successful experience teaching Mathematics at the University Level. Preference will

 be given to instructors with teaching experience in the secondary school system.

Applications are invited in the first instance from part-time faculty colleagues who are on the Precedence List.

Send your application to:

Part time positions at ptpositions@cs.smu.ca

Or Department of Mathematics & Computing Science

Saint Mary’s University

Halifax, Nova Scotia

B3H 3C3

If you have never taught at Saint Mary’s,

Send:

-An up-to-date Curriculum Vitae

-University transcripts and Proof of Degrees

(e.g. photocopies of certificates)

AND

Have sent:

-Two (2) letters of reference.

*The stipend is subject to the current collective agreement between CUPE and Saint Mary’s University

Applications should be received no later than December 1, 2020

 

PART-TIME POSITIONS

WINTER TERM 2021

MATH1210.2 Recs.)

(Introductory Calculus I)

The Department of Mathematics & Computing Science is seeking to staff the following courses for the winter semester, 2021:

MATH1210.2RE     R         4:00pm – 5:15pm           –        REMOTE

MATH1210.2RF     F          10:00am – 11:15am       –        REMOTE

Preference for the lecturing position will be given to an applicant willing to teach at least one recitation as well. All instruction will be delivered remotely (online, synchronously) and applicants are expected to have access to sufficient technological resources – including internet connectivity and a webcam or similar equipment – to make this feasible.  The successful candidate(s) will be required to hold office hours, and will invigilate (if needed, and remotely) and mark midterm and final examinations.  Recitation instructors may be required to share the preparation of assignments and worksheets using TeX, and to work with grading software.

The stipend* for each MATH1210.2 Recitation is $2426.00 – $3068.75 (depending on experience at Saint Mary’s).

The Department requires the following qualification and experience:

Minimum Master’s Degree in Mathematics or Mathematics Education

Successful experience teaching Calculus or Pre-Calculus at the University level.

Applications are invited in the first instance from part-time faculty colleagues who are on the Precedence List.

Send your application to:

Part time positions at ptpositions@cs.smu.ca

Or Department of Mathematics & Computing Science

Saint Mary’s University

Halifax, Nova Scotia

B3H 3C3

If you have never taught at Saint Mary’s,

Send:

-An up-to-date Curriculum Vitae

-University transcripts and Proof of Degrees

(e.g. photocopies of certificates)

AND

Have sent:

-Two (2) letters of reference.

*The stipend is subject to the current collective agreement between CUPE and Saint Mary’s University

Applications should be received no later than November 30, 2020

PART-TIME POSITIONS

WINTER TERM 2021

MATH1211.2 (Recs)

(Introductory Calculus II)

The Department of Mathematics & Computing Science is seeking to staff the following courses for the winter semester, 2021:

MATH1211.2RD                       F          11:30am – 12:45pm       –        REMOTE

MATH1211.2RE                       R         1:00pm – 2:15pm           –        REMOTE

MATH1211.2RG                       F          10:00am – 11:15am       –        REMOTE

Preference for the lecturing position will be given to an applicant willing to teach at least one recitation as well. All instruction will be delivered remotely (online, synchronously) and applicants are expected to have access to sufficient technological resources – including internet connectivity and a webcam or similar equipment- to make this feasible.  The successful candidate(s) will be required to hold office hours, and will invigilate (if needed, and remotely) and mark midterm and final examinations.  Recitation instructors may be required to share the preparation of assignments and worksheets using TeX, and to work with grading software.

The stipend* for MATH1211.2 Recs. are $2426.00 – $3068.75 (depending on the experience at Saint Mary’s).

The Department requires the following qualification and experience:

Minimum Master’s Degree in Mathematics or Mathematics Education

Successful experience teaching Calculus at the University level.

Applications are invited in the first instance from part-time faculty colleagues who are on the Precedence List.

Send your application to:

Part time positions at ptpositions@cs.smu.ca

Department of Mathematics & Computing Science

Saint Mary’s University

Halifax, Nova Scotia

B3H 3C3

If you have never taught at Saint Mary’s,

Send:

-An up-to-date Curriculum Vitae

-University transcripts and Proof of Degrees

(e.g. photocopies of certificates)

AND

Have sent:

-Two (2) letters of reference.

*The stipend is subject to the current collective agreement between CUPE and Saint Mary’s University

Applications should be received no later than December 1, 2020

 

PART-TIME POSITIONS

WINTER TERM 2021

MATH1211.2 (Course + Rec.) (Yarmouth)

(Introductory Calculus II)

The Department of Mathematics & Computing Science is seeking to staff the following courses for the winter semester, 2021: Yarmouth

MATH1211.2YA    T          7:30pm – 8:45pm                 –           REMOTE

MATH1211.2RY     T          4:30pm – 7:15pm                 –           REMOTE

Preference for the lecturing position will be given to an applicant willing to teach both the lecture and recitation. All instruction will be delivered remotely (online, synchronously) and applicants are expected to have access to sufficient technological resources – including internet connectivity and a webcam or similar equipment- to make this feasible.  The successful candidate(s) will be required to hold office hours, and will invigilate (if needed, and remotely) and mark midterm and final examinations.  Recitation instructors may be required to share the preparation of assignments and worksheets using TeX, and to work with grading software.

The stipend* for MATH1211.2YA is $4852.00 – $6137.50 (depending on experience at Saint Mary’s). The stipend* for this MATH1211.2RY Rec. is $2426.00 – $3068.75 (depending on experience at Saint Mary’s).

The Department requires the following qualification and experience:

Minimum Master’s Degree in Mathematics or Mathematics Education

Successful experience teaching Mathematics at the University Level. Preference will

 be given to instructors with teaching experience in the secondary school system.

Applications are invited in the first instance from part-time faculty colleagues who are on the Precedence List.

Send your application to:

Part time positions at ptpositions@cs.smu.ca

Or Department of Mathematics & Computing Science

Saint Mary’s University

Halifax, Nova Scotia

B3H 3C3

If you have never taught at Saint Mary’s,

Send:

-An up-to-date Curriculum Vitae

-University transcripts and Proof of Degrees

(e.g. photocopies of certificates)

AND

Have sent:

-Two (2) letters of reference.

*The stipend is subject to the current collective agreement between CUPE and Saint Mary’s University

Applications should be received no later than December 1, 2020

 

PART-TIME POSITIONS

WINTER TERM 2021

MATH1250.2 + Recs.

(Calculus for Life Sciences I)

The Department of Mathematics & Computing Science is seeking to staff the following courses for the winter semester, 2021:

MATH1250.2          TR       8:30am – 9:45am       –               REMOTE

MATH1250.2RA     F          10:00am – 11:15am   –               REMOTE

MATH1250.2RB     F          11:30am – 12:45pm  –               REMOTE

Preference for the lecturing position will be given to an applicant willing to teach at least one recitation as well. All instruction will be delivered remotely (online, synchronously) and applicants are expected to have access to sufficient technological resources – including internet connectivity and a webcam or similar equipment- to make this feasible.  The successful candidate(s) will be required to hold office hours, and will invigilate (if needed, and remotely) and mark midterm and final examinations.  Recitation instructors may be required to share the preparation of assignments and worksheets using TeX, and to work with grading software.

The stipend* for MATH1250.2 is $4852.00 – $6137.50 (depending on experience at Saint Mary’s). The stipend* for the MATH1250.2 Recitations are $2426.00 – $3068.75 (depending on experience at Saint Mary’s).

The Department requires the following qualification and experience:

Minimum Master’s Degree in Mathematics or Mathematics Education

Successful experience teaching Calculus at the University level.

Applications are invited in the first instance from part-time faculty colleagues who are on the Precedence List.

Send your application to:

Part time positions at ptpositions@cs.smu.ca

Or Department of Mathematics & Computing Science

Saint Mary’s University

Halifax, Nova Scotia

B3H 3C3

If you have never taught at Saint Mary’s,

Send:

-An up-to-date Curriculum Vitae

-University transcripts and Proof of Degrees

(e.g. photocopies of certificates)

AND

Have sent:

-Two (2) letters of reference.

*The stipend is subject to the current negotiations between CUPE and Saint Mary’s University

Applications should be received no later than December 1, 2020

PART-TIME POSITIONS

WINTER TERM 2021

MATH1251.2 (Recitations)

 The Department of Mathematics & Computing Science is seeking to staff the following courses for the winter semester, 2021.

MATH1251.2RA     F          10:00am – 11:15am       –        REMOTE

MATH1251.2RD     F          2:30pm – 3:45pm           –        REMOTE

All instruction will be delivered remotely (online, synchronously) and applicants are expected to have access to sufficient technological resources – including internet connectivity and a webcam or similar equipment- to make this feasible.  The successful candidate(s) will be required to hold office hours, and will invigilate (if needed, and remotely) and mark midterm and final examinations.  Recitation instructors may be required to share the preparation of assignments and worksheets using TeX, and to work with grading software.

The stipend* for MATH1251.2 is $4852.00 – $6137.50 (depending on experience at Saint Mary’s). The stipend for MATH1251.2 Recitations is $2426.00 – $3068.75 (depending on the experience at Saint Mary’s).

The Department requires the following qualification and experience:

Minimum Master’s Degree in Mathematics or Mathematics Education

Successful experience teaching Calculus or Pre-Calculus at the University level.

Applications are invited in the first instance from part-time faculty colleagues who are on the Precedence List.

Send your application to:

Part time positions at ptpositions@cs.smu.ca

Or Department of Mathematics & Computing Science

Saint Mary’s University

Halifax, Nova Scotia

B3H 3C3

If you have never taught at Saint Mary’s,

Send:

-An up-to-date Curriculum Vitae

-University transcripts and Proof of Degrees

(e.g. photocopies of certificates)

AND

Have sent:

-Two (2) letters of reference.

*The stipend is subject to the current collective agreement between CUPE and Saint Mary’s University

Applications should be received no later than December 1, 2020

Department of Mathematics and Computing Science

 PART-TIME POSITIONS

WINTER TERM 2021

MATH2303.2 + Recs.

(Differential Equations I)

The Department of Mathematics & Computing Science is seeking to staff the following courses for the winter semester 2021:

MATH2303.2

MATH2303.2RA     F          11:30am – 12:45pm       –        REMOTE

MATH2303.2RC     F          1:00pm – 2:15pm           –        REMOTE

MATH2303.2RD     F          2:30pm – 3:45pm           –        REMOTE

Preference for the lecturing position will be given to an applicant willing to teach at least one recitation as well. All instruction will be delivered remotely (online, synchronously) and applicants are expected to have access to sufficient technological resources – including internet connectivity and a webcam or similar equipment- to make this feasible.  The successful candidate(s) will be required to hold office hours, and will invigilate (if needed, and remotely) and mark midterm and final examinations.  Recitation instructors may be required to share the preparation of assignments and worksheets using TeX, and to work with grading software.

The stipend* for MATH2303.2 Recs. are $2426.00 – $3068.75 (depending on experience at Saint Mary’s).

The Department requires the following qualification and experience:

PHD in Mathematics required.

Successful experience teaching Differential Equations at the University level would be an asset.

Applications are invited in the first instance from part-time faculty colleagues who are on the Precedence List.

Send your application to:

Part time positions at ptpositions@cs.smu.ca

Or Department of Mathematics & Computing Science

Saint Mary’s University

Halifax, Nova Scotia

B3H 3C3

If you have never taught at Saint Mary’s,

Send:

-An up-to-date Curriculum Vitae

-University transcripts and Proof of Degrees

(e.g. photocopies of certificates)

AND

Have sent:

-Two (2) letters of reference.

*The stipend is subject to the current collective agreement between CUPE and Saint Mary’s University

Applications should be received no later than December 1, 2020

PART-TIME POSITIONS

WINTER TERM 2021

MATH2305.2 & Recitation

(Survey of Discrete Mathematics)

The Department of Mathematics & Computing Science is seeking to staff the following courses for the winter semester, 2021:

MATH2305.2            TR       10:00am – 11:15am       –        REMOTE

MATH2305.2R          R          4:00pm – 5:55pm          –        REMOTE

Preference for the lecturing position will be given to an applicant willing to teach both the lecture and recitation All instruction will be delivered remotely (online, synchronously) and applicants are expected to have access to sufficient technological resources – including internet connectivity and a webcam or similar equipment – to make this feasible.  The successful candidate(s) will be required to hold office hours, and will invigilate (if needed, and remotely) and mark midterm and final examinations.  Recitation instructors may be required to share the preparation of assignments and worksheets using TeX, and to work with grading software.

The stipend* for MATH2305.2 is $4852.00 – $6137.50 (depending on experience at Saint Mary’s). The stipend* for each MATH2305.1 Recitation is $2426.00 – $3068.75 (depending on experience at Saint Mary’s).

The Department requires the following qualification and experience:

PHD in Mathematics required.

Successful experience teaching at the University level would be an asset.

Applications are invited in the first instance from part-time faculty colleagues who are on the Precedence List.

Send your application to:

Part time positions at ptpositions@cs.smu.ca

Department of Mathematics & Computing Science

Saint Mary’s University

Halifax, Nova Scotia

B3H 3C3

If you have never taught at Saint Mary’s,

Send:

-An up-to-date Curriculum Vitae

-University transcripts and Proof of Degrees

(e.g. photocopies of certificates)

AND

Have sent:

-Two (2) letters of reference.

*The stipend is subject to the current collective agreement between CUPE and Saint Mary’s University

Applications should be received no later than December 1, 2020

MSVU

—————————————————
Department/Faculty: Mathematics
Course Name: Linear Algebra II
Course Code: MATH 2222 01
Academic Term: Winter
Class Timetable: TTH 1:30PM – 2:45PM Sync. Online
Course Unit Value: 0.5
—————————————————
Start Date: 1/11/2021
End Date: 4/27/2021
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Mathematics or
Statistics. Prior experience teaching Mathematics to mathematics major
students is an asset.

Due to the Covid-19 pandemic this class will be taught entirely online.

Candidates must also have experience using the Blackboard Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Email messages from students received outside the scheduled class times
should be answered with reasonable promptness.

Due to distance, the mailing of materials may extend beyond the
traditional time frames of the course.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: MSVUMath@msvu.ca

Application deadline: 11/30/2020
—————————————————

—————————————————
Department/Faculty: Mathematics
Course Name: Statistics and Mathematics Preparation
Course Code: MATH 0027 19
Academic Term: Winter
Class Timetable: Asynchronous Online
Course Unit Value: 0.50
—————————————————
Start Date: 1/11/2021
End Date: 4/27/2021
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Mathematics or Statistics.

In addition, experience teaching a similar course to prepare non-science
majors who will be taking further Mathematics and/or Statistics courses is
required.

Candidates must also have experience using the Blackboard Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
Synchronous and asynchronous discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Due to distance, the mailing of materials may extend beyond the
traditional time frames of the course.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: Tina.Harriott@msvu.ca

Application deadline: 11/20/2020

—————————————————
Department/Faculty: Mathematics
Course Name: Introductory Calculus II
Course Code: MATH 1114 01
Academic Term: Winter
Class Timetable: MW 9:00AM – 10:15AM  Sync. Online
Course Unit Value: 0.5
—————————————————
Start Date: 1/11/2021
End Date: 4/27/2021
—————————————————
Qualifications:
PhD or Master’s degree in Mathematics. In addition, the successful
candidate must have prior experience teaching Introductory Calculus at the
University level in courses which include students from a variety of
majors.

Candidates must also have experience using the Blackboard Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
Synchronous and asynchronous discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:

—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: Tina.Harriott@msvu.ca

Application deadline: 11/6/2020
—————————————————

DAL

Position Title Part-Time Academic (STAT/MATH 2080.03 – Winter Term of 2021)
Posting Number PTAP473P
Department/Unit Mathematics & Statistics
Location Halifax
Job Summary & Key Responsibilities The Part-Time Academic will be responsible for teaching section 01 of Statistical Methods for Data Analysis and Inference
(STAT/MATH 2080.03) in the upcoming winter term (contract dates January 1 to April 30).The topics to be covered in the course are available from the Department Chair. Course descriptions are provided in the Undergraduate Calendar published online ( https://academiccalendar.dal.ca ) by the Registrar’s Office, Dalhousie University.Please see the academic timetable ( www.dal.ca/timetable ) for the days, times & location(s) of this course. Please note this course is being delivered online.
Qualifications/Requirements of Position A combination of M.Sc. degree in Mathematics or Statistics and previous teaching experience is required. Completion of a PhD or PhD in progress is considered an asset. The successful applicant must have demonstrated knowledge of the subject matter. Experience teaching large online classes or direct experience of teaching this class is considered an asset.

Please provide teaching evaluations if available.
Salary Range/Pay Rate Per CUPE Collective Agreement – Local 3912
Additional Information All offers of employment as a Part-Time Academic are conditional upon sufficient student enrolment in the course and approval by the University. Dalhousie University is committed to fostering a collegial culture grounded in diversity and inclusiveness. The university encourages applications from Aboriginal people, persons with a disability, racially visible persons, women, persons of minority sexual orientations and gender identities, and all candidates who would contribute to the diversity of our community.
Term of appointment January 1, 2021 to April 30, 2021
Open Date 10/13/2020
Close Date 10/23/2020
Open Until Filled
Quick Link for Direct Access to Posting http://dal.peopleadmin.ca/postings/4586

Documents Needed to Apply

Required Documents

  1. Cover Letter
  2. Résumé / Curriculum Vitae (CV)
  3. List of referees

Optional Documents

  1. Teaching Dossier
Position Title Part-Time Academic (MATH/ECON 3900.03 section 01 – Winter Term of 2021)
Posting Number PTAP460P
Department/Unit Mathematics & Statistics
Location Halifax
Job Summary & Key Responsibilities The Part-Time Academic will be responsible for the development and delivery of Financial Mathematics (MATH/ECON 3900.03, section 01) in the upcoming winter term. The contract date for teaching/delivery is January 1 to April 30. The course development start date is to be determined.

The topics to be covered in the course are available from the Department Chair. Course descriptions are provided in the Undergraduate Calendar published online ( https://academiccalendar.dal.ca ) by the Registrar’s Office, Dalhousie University.

Please see the academic timetable ( www.dal.ca/timetable ) for the days and times of this course. Please note the course is being delivered online.
Qualifications/Requirements of Position A combination of M.Sc. degree in Mathematics or Statistics and previous teaching experience is required. Completion of a PhD or PhD in progress is considered an asset. Experience with course delivery in an online environment is also an asset. The successful applicant must have demonstrated knowledge of the subject matter.

Please provide teaching evaluations if available.
Salary Range/Pay Rate Per CUPE Collective Agreement – Local 3912
Additional Information All offers of employment as a Part-Time Academic are conditional upon sufficient student enrolment in the course and approval by the University. Dalhousie University is committed to fostering a collegial culture grounded in diversity and inclusiveness. The university encourages applications from Aboriginal people, persons with a disability, racially visible persons, women, persons of minority sexual orientations and gender identities, and all candidates who would contribute to the diversity of our community.
Term of appointment January 1, 2021 to April 30, 2021
Open Date 10/13/2020
Close Date 10/22/2020
Open Until Filled
Quick Link for Direct Access to Posting http://dal.peopleadmin.ca/postings/4543

Documents Needed to Apply

Required Documents

  1. Cover Letter
  2. Résumé / Curriculum Vitae (CV)
  3. List of referees

Optional Documents

  1. Teaching Dossier
Position Title Part-Time Academic (STAT/MATH 1060.03 – Winter Term of 2021)
Posting Number PTAP466P
Department/Unit Mathematics & Statistics
Location Halifax
Job Summary & Key Responsibilities The Part-Time Academic will be responsible for teaching Introductory Statistics for Science and Health Sciences (STAT/MATH 1060.03, section 02) in the upcoming winter term (contract dates January 1 to April 30).

The topics to be covered in the course are available from the Department Chair. Course descriptions are provided in the Undergraduate Calendar published online ( https://academiccalendar.dal.ca ) by the Registrar’s Office, Dalhousie University.

Please see the academic timetable ( www.dal.ca/timetable ) for the days, times & location(s) of this course. Please note this course is being delivered online.
Qualifications/Requirements of Position A combination of M.Sc. degree in Mathematics or Statistics and previous teaching experience is required. Completion of a PhD or PhD in progress is considered an asset. The successful applicant must have demonstrated knowledge of the subject matter and experience teaching large online classes. Direct experience of teaching this class is considered an asset.

Please provide teaching evaluations if available.
Salary Range/Pay Rate Per CUPE Collective Agreement – Local 3912
Additional Information All offers of employment as a Part-Time Academic are conditional upon sufficient student enrolment in the course and approval by the University. Dalhousie University is committed to fostering a collegial culture grounded in diversity and inclusiveness. The university encourages applications from Aboriginal people, persons with a disability, racially visible persons, women, persons of minority sexual orientations and gender identities, and all candidates who would contribute to the diversity of our community.
Term of appointment January 1, 2021 to April 30, 2021
Open Date 10/13/2020
Close Date 10/22/2020
Open Until Filled
Quick Link for Direct Access to Posting http://dal.peopleadmin.ca/postings/4568

Documents Needed to Apply

Required Documents

  1. Cover Letter
  2. Résumé / Curriculum Vitae (CV)
  3. List of referees

Optional Documents

  1. Teaching Dossier
Position Title Part-Time Academic (MATH 3210.03 – Winter Term of 2021)
Posting Number PTAP465P
Department/Unit Mathematics & Statistics
Location Halifax
Job Summary & Key Responsibilities The Part-Time Academic will be responsible for the development and delivery of Introduction to Numerical Analysis (MATH 3210.03) in the upcoming winter term. The contract dates for teaching/delivery are from January 1 to April 30. The course development start date is to be determined.

The topics to be covered in the course are available from the Department Chair. Course descriptions are provided in the Undergraduate Calendar published online ( https://academiccalendar.dal.ca ) by the Registrar’s Office, Dalhousie University.

Please see the academic timetable ( www.dal.ca/timetable ) for the days, times & location(s) of this course. Please note this course is being delivered online.
Qualifications/Requirements of Position A combination of M.Sc. degree in Mathematics or Statistics and previous teaching experience is required. Completion of a PhD or PhD in progress is considered an asset. Experience with course delivery in an online environment is also an asset. The successful applicant must have demonstrated knowledge of the subject matter.

Please provide teaching evaluations if available.
Salary Range/Pay Rate Per CUPE Collective Agreement – Local 3912
Additional Information All offers of employment as a Part-Time Academic are conditional upon sufficient student enrolment in the course and approval by the University. Dalhousie University is committed to fostering a collegial culture grounded in diversity and inclusiveness. The university encourages applications from Aboriginal people, persons with a disability, racially visible persons, women, persons of minority sexual orientations and gender identities, and all candidates who would contribute to the diversity of our community.
Term of appointment January 1, 2021 to April 30, 2021
Open Date 10/13/2020
Close Date 10/22/2020
Open Until Filled
Quick Link for Direct Access to Posting http://dal.peopleadmin.ca/postings/4574

Documents Needed to Apply

Required Documents

  1. Cover Letter
  2. Résumé / Curriculum Vitae (CV)
  3. List of referees

Optional Documents

  1. Teaching Dossier
Position Title Part-Time Academic (STAT 2450.03 – Winter Term of 2021)
Posting Number PTAP467P
Department/Unit Mathematics & Statistics
Location Halifax
Job Summary & Key Responsibilities The Part-Time Academic will be responsible for teaching section 01 of Intro Data Mining with R (STAT 2450.03) in the upcoming winter term (contract dates January 1 to April 30).

The topics to be covered in the course are available from the Department Chair. Course descriptions are provided in the Undergraduate Calendar published online ( https://academiccalendar.dal.ca ) by the Registrar’s Office, Dalhousie University.

Please see the academic timetable ( www.dal.ca/timetable ) for the days, times & location(s) of this course. Please note this course is being delivered online.
Qualifications/Requirements of Position A combination of M.Sc. degree in Mathematics or Statistics and previous teaching experience is required. Completion of a PhD or PhD in progress is considered an asset. The successful applicant must have demonstrated knowledge of the subject matter. Experience teaching large online classes or direct experience of teaching this class is considered an asset.

Please provide teaching evaluations if available.
Salary Range/Pay Rate Per CUPE Collective Agreement – Local 3912
Additional Information All offers of employment as a Part-Time Academic are conditional upon sufficient student enrolment in the course and approval by the University. Dalhousie University is committed to fostering a collegial culture grounded in diversity and inclusiveness. The university encourages applications from Aboriginal people, persons with a disability, racially visible persons, women, persons of minority sexual orientations and gender identities, and all candidates who would contribute to the diversity of our community.
Term of appointment January 1, 2021 to April 30, 2021
Open Date 10/13/2020
Close Date 10/22/2020
Open Until Filled
Quick Link for Direct Access to Posting http://dal.peopleadmin.ca/postings/4575

Documents Needed to Apply

Required Documents

  1. Cover Letter
  2. Résumé / Curriculum Vitae (CV)
  3. List of referees

Optional Documents

  1. Teaching Dossier
Position Title Part-Time Academic (STAT/ACSC 3703.03 – Winter Term of 2021)
Posting Number PTAP469P
Department/Unit Mathematics & Statistics
Location Halifax
Job Summary & Key Responsibilities The Part-Time Academic will be responsible for the development and delivery of Actuarial Models I (STAT/ACSC 3703.03; section 01) in the upcoming winter term. The contract dates for teaching / delivery are from January 1 to April 30. The course development start date is to be determined.

The topics to be covered in the course are available from the Department Chair. Course descriptions are provided in the Undergraduate Calendar published online ( https://academiccalendar.dal.ca ) by the Registrar’s Office, Dalhousie University.

Please see the academic timetable ( www.dal.ca/timetable ) for the days, times & location(s) of this course. Please note the course is being delivered online.
Qualifications/Requirements of Position A combination of M.Sc. degree in Mathematics or Statistics and previous teaching experience is required. Completion of a PhD or PhD in progress is considered an asset. Experience with online course delivery is also an asset. The successful applicant must have demonstrated knowledge of the subject matter.

Please provide teaching evaluations if available.
Salary Range/Pay Rate Per CUPE Collective Agreement – Local 3912
Additional Information All offers of employment as a Part-Time Academic are conditional upon sufficient student enrolment in the course and approval by the University. Dalhousie University is committed to fostering a collegial culture grounded in diversity and inclusiveness. The university encourages applications from Aboriginal people, persons with a disability, racially visible persons, women, persons of minority sexual orientations and gender identities, and all candidates who would contribute to the diversity of our community.
Term of appointment January 1, 2021 to April 30, 2021
Open Date 10/13/2020
Close Date 10/23/2020
Open Until Filled
Quick Link for Direct Access to Posting http://dal.peopleadmin.ca/postings/4576

Documents Needed to Apply

Required Documents

  1. Cover Letter
  2. Résumé / Curriculum Vitae (CV)
  3. List of referees

Optional Documents

  1. Teaching Dossier
Position Title Part-Time Academic (STAT 3450.03 – Winter Term of 2021)
Posting Number PTAP470P
Department/Unit Mathematics & Statistics
Location Halifax
Job Summary & Key Responsibilities The Part-Time Academic will be responsible for the development and delivery of a new course Statistical Learning with R (STAT 3450.03) in the upcoming winter term. The contract dates for delivery/teaching are from January 1 to April 30. The course development start date is to be determined.

The topics to be covered in the course are available from the Department Chair. Course descriptions are provided in the Undergraduate Calendar published online ( https://academiccalendar.dal.ca ) by the Registrar’s Office, Dalhousie University.

Please see the academic timetable ( www.dal.ca/timetable ) for the days, times & location(s) of this course. Please note the course is being delivered online.
Qualifications/Requirements of Position A combination of M.Sc. degree in Mathematics or Statistics and previous teaching experience is required. Completion of a PhD or PhD in progress is considered an asset. The successful applicant must have demonstrated knowledge of the subject matter. Experience teaching large online classes with R programming language heavily involved is considered an assest.

Please provide teaching evaluations if available.
Salary Range/Pay Rate Per CUPE Collective Agreement – Local 3912
Additional Information All offers of employment as a Part-Time Academic are conditional upon sufficient student enrolment in the course and approval by the University. Dalhousie University is committed to fostering a collegial culture grounded in diversity and inclusiveness. The university encourages applications from Aboriginal people, persons with a disability, racially visible persons, women, persons of minority sexual orientations and gender identities, and all candidates who would contribute to the diversity of our community.
Term of appointment January 1, 2021 to April 30, 2021
Open Date 10/13/2020
Close Date 10/23/2020
Open Until Filled
Quick Link for Direct Access to Posting http://dal.peopleadmin.ca/postings/4585

Documents Needed to Apply

Required Documents

  1. Cover Letter
  2. Résumé / Curriculum Vitae (CV)
  3. List of referees

Optional Documents

  1. Teaching Dossier
MSVU

Department/Faculty: Mathematics
Course Name: Statistics and Mathematics Preparation
Course Code: MATH 0027 18
Academic Term: Winter
Class Timetable: Asynchronous
Course Unit Value: 0.5
—————————————————
Start Date: 1/11/2021
End Date: 4/27/2021
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Mathematics or Statistics.

In addition, experience teaching a similar course to prepare non-science
majors who will be taking further Mathematics and/or Statistics courses is
required.

Candidates must also have experience using the Blackboard Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Due to distance, the mailing of materials may extend beyond the
traditional time frames of the course.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: msvumath@msvu.ca

Application deadline: 11/2/2020
—————————————————

Department/Faculty: Mathematics
Course Name: Introductory Calculus II
Course Code: MATH 1114 02
Academic Term: Winter
Class Timetable: TTh 09:00AM – 10:15AM
Course Unit Value: 0.5
—————————————————
Start Date: 1/11/2021
End Date: 4/27/2021
—————————————————
Qualifications:
PhD or Master’s degree in Mathematics. In addition, the successful
candidate must have prior experience teaching Introductory Calculus at the
University level in courses which include students from a variety of
majors.

Candidates must also have experience using the Blackboard Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. In addition, experience with
the use of MINITAB for data analysis is required. Candidates must be
sensitive to the needs of the mature learner. Synchronous and asynchronous
discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:

—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: msvumath@msvu.ca

Application deadline: 10/31/2020
—————————————————

—————————————————
Department/Faculty: Mathematics
Course Name: Introduction to Statistics II
Course Code: MATH 2209 02
Academic Term: Winter
Class Timetable: MW 09:00AM – 10:15AM Sync. Online
Course Unit Value: 0.5
—————————————————
Start Date: 1/11/2021
End Date: 4/27/2021
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
advanced coursework in Statistics.
In addition, experience teaching a similar introductory statistics course
to non-science majors.

Also experience with using MINITAB for data analysis is required.
Due to the Covid-19 pandemic this class will be taught entirely online.
Candidates must therefore have experience using the Blackboard Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
This is a coordinated course with a laboratory component. The laboratory
components are taught by the laboratory instructor.  Instructors are
required to follow the common course syllabus and guidelines for
assignments, midterm and final exams, and grades.

Due to distance, the mailing of materials may extend beyond the
traditional time frames of the course.

 

—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: msvumath@msvu.ca

Application deadline: 10/31/2020
—————————————————

—————————————————
Department/Faculty: Mathematics
Course Name: Introduction to Statistics II
Course Code: MATH 2209 03
Academic Term: Winter
Class Timetable: MW 12:00PM – 01:15PM Sync. Online

Course Unit Value: 0.5
—————————————————
Start Date: 1/11/2021
End Date: 4/27/2021
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
advanced coursework in Statistics.
In addition, experience teaching a similar introductory statistics course
to non-science majors.

Also experience with using MINITAB for data analysis is required.
Due to the Covid-19 pandemic this class will be taught entirely online.
Candidates must therefore have experience using the Blackboard Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
This is a coordinated course with a laboratory component. The laboratory
components are taught by the laboratory instructor.  Instructors are
required to follow the common course syllabus and guidelines for
assignments, midterm and final exams, and grades.

Due to distance, the mailing of materials may extend beyond the
traditional time frames of the course.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: msvumath@msvu.ca

Application deadline: 10/31/2020
—————————————————

—————————————————
Department/Faculty: Mathematics
Course Name: Introduction to Statistics II
Course Code: MATH 2209 04
Academic Term: Winter
Class Timetable: TTh 10:30AM – 11:45AM Sync. Online

Course Unit Value: 0.5
—————————————————
Start Date: 1/11/2021
End Date: 4/27/2021
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
advanced coursework in Statistics.
In addition, experience teaching a similar introductory statistics course
to non-science majors.

Also experience with using MINITAB for data analysis is required.
Due to the Covid-19 pandemic this class will be taught entirely online.
Candidates must therefore have experience using the Blackboard Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
This is a coordinated course with a laboratory component. The laboratory
components are taught by the laboratory instructor.  Instructors are
required to follow the common course syllabus and guidelines for
assignments, midterm and final exams, and grades.

Due to distance, the mailing of materials may extend beyond the
traditional time frames of the course.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: msvumath@msvu.ca

Application deadline: 10/31/2020
—————————————————

—————————————————
Department/Faculty: Mathematics
Course Name: Introduction to Statistics II
Course Code: MATH 2209 06
Academic Term: Winter
Class Timetable: TTh 01:30PM – 02:45PM Sync. Online

Course Unit Value: 0.5
—————————————————
Start Date: 1/11/2021
End Date: 4/27/2021
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
advanced coursework in Statistics.
In addition, experience teaching a similar introductory statistics course
to non-science majors.

Also experience with using MINITAB for data analysis is required.
Due to the Covid-19 pandemic this class will be taught entirely online.
Candidates must therefore have experience using the Blackboard Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
This is a coordinated course with a laboratory component. The laboratory
components are taught by the laboratory instructor.  Instructors are
required to follow the common course syllabus and guidelines for
assignments, midterm and final exams, and grades.

Due to distance, the mailing of materials may extend beyond the
traditional time frames of the course.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: msvumath@msvu.ca

Application deadline: 10/31/2020
—————————————————

—————————————————
Department/Faculty: Mathematics
Course Name: Introduction to Statistics II
Course Code: MATH 2209 07
Academic Term: Winter
Class Timetable: Th 06:00PM – 08:45PM Sync. Online

Course Unit Value: 0.5
—————————————————
Start Date: 1/11/2021
End Date: 4/27/2021
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
advanced coursework in Statistics.
In addition, experience teaching a similar introductory statistics course
to non-science majors.

Also experience with using MINITAB for data analysis is required.
Due to the Covid-19 pandemic this class will be taught entirely online.
Candidates must therefore have experience using the Blackboard Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
This is a coordinated course with a laboratory component. The laboratory
components are taught by the laboratory instructor.  Instructors are
required to follow the common course syllabus and guidelines for
assignments, midterm and final exams, and grades.

Due to distance, the mailing of materials may extend beyond the
traditional time frames of the course.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: msvumath@msvu.ca

Application deadline: 10/31/2020
—————————————————

—————————————————
Department/Faculty: Mathematics
Course Name: LAB: Intro to Statistics II
Course Code: MATH 209L LL
Academic Term: Winter
Class Timetable: Th 03:00PM – 04:15PM Sync. Online
Course Unit Value: 0.125

—————————————————
Start Date: 1/11/2021
End Date: 4/27/2021
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics. In addition, experience teaching similar
introductory statistics labs to non-science majors is required.

Due to the Covid-19 pandemic this lab will be taught entirely online.

Candidates must also have experience using the Blackboard Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. In addition, experience with
the use of MINITAB for data analysis is required. Candidates must be
sensitive to the needs of the mature learner.
Synchronous and asynchronous discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Mathematics Laboratory Instructor.
The lab instructor is required to follow the course syllabus and
guidelines for lab assignments and grading.

Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness.
Due to distance, the mailing of materials may extend beyond the
traditional time frames.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: msvumath@msvu.ca

Application deadline: 10/31/2020
—————————————————

—————————————————
Department/Faculty: Mathematics
Course Name: LAB: Intro to Statistics II
Course Code: MATH 209L LN
Academic Term: Winter
Class Timetable: Th 04:30PM – 05:45PM Sync. Online

Course Unit Value: 0.125
—————————————————
Start Date: 1/11/2021
End Date: 4/27/2021
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics. In addition, experience teaching similar
introductory statistics labs to non-science majors is required.

Due to the Covid-19 pandemic this lab will be taught entirely online.

Candidates must also have experience using the Blackboard Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. In addition, experience with
the use of MINITAB for data analysis is required. Candidates must be
sensitive to the needs of the mature learner.
Synchronous and asynchronous discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Mathematics Laboratory Instructor.
The lab instructor is required to follow the course syllabus and
guidelines for lab assignments and grading.

Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness.
Due to distance, the mailing of materials may extend beyond the
traditional time frames.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: msvumath@msvu.ca

Application deadline: 10/31/2020
—————————————————

—————————————————
Department/Faculty: Mathematics
Course Name: LAB: Intro to Statistics I
Course Code: MATH 208D DE
Academic Term: Winter
Class Timetable: W 06:30PM – 07:45PM

Course Unit Value: 0.125
—————————————————
Start Date: 1/11/2021
End Date: 4/27/2021
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics. In addition, experience teaching similar
introductory statistics labs to non-science majors is required.

Candidates must also have experience using the Blackboard Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. In addition, experience with
the use of MINITAB for data analysis is required. Candidates must be
sensitive to the needs of the mature learner.
Synchronous and asynchronous discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Mathematics Laboratory Instructor.
The lab instructor is required to follow the course syllabus and
guidelines for lab assignments and grading.

Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness.
Due to distance, the mailing of materials may extend beyond the
traditional time frames.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: msvumath@msvu.ca

Application deadline: 10/31/2020
—————————————————

—————————————————
Department/Faculty: Mathematics
Course Name: LAB: Intro to Statistics I
Course Code: MATH 208D DF
Academic Term: Winter
Class Timetable: W 08:00PM-09:15PM

Course Unit Value: 0.125
—————————————————
Start Date: 1/11/2021
End Date: 4/27/2021
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics. In addition, experience teaching similar
introductory statistics labs to non-science majors is required.

Candidates must also have experience using the Blackboard Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. In addition, experience with
the use of MINITAB for data analysis is required. Candidates must be
sensitive to the needs of the mature learner.
Synchronous and asynchronous discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Mathematics Laboratory Instructor.
The lab instructor is required to follow the course syllabus and
guidelines for lab assignments and grading.

Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness.
Due to distance, the mailing of materials may extend beyond the
traditional time frames.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: msvumath@msvu.ca

Application deadline: 10/31/2020
—————————————————

—————————————————
Department/Faculty: Mathematics
Course Name: LAB: Intro to Statistics I
Course Code: MATH 208D DG
Academic Term: Winter
Class Timetable: Th 09:30PM – 10:45PM

Course Unit Value: 0.125
—————————————————
Start Date: 1/11/2021
End Date: 4/27/2021
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics. In addition, experience teaching similar
introductory statistics labs to non-science majors is required.

Candidates must also have experience using the Blackboard Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. In addition, experience with
the use of MINITAB for data analysis is required. Candidates must be
sensitive to the needs of the mature learner.
Synchronous and asynchronous discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Mathematics Laboratory Instructor.
The lab instructor is required to follow the course syllabus and
guidelines for lab assignments and grading.

Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness.
Due to distance, the mailing of materials may extend beyond the
traditional time frames.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: msvumath@msvu.ca

Application deadline: 10/31/2020
—————————————————

—————————————————
Department/Faculty: Mathematics
Course Name: LAB: Intro to Statistics II
Course Code: MATH 209D DC
Academic Term: Winter
Class Timetable: W 09:30PM – 10:45PM

Course Unit Value: 0.125
—————————————————
Start Date: 1/11/2021
End Date: 4/27/2021
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics. In addition, experience teaching similar
introductory statistics labs to non-science majors is required.

Candidates must also have experience using the Blackboard Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. In addition, experience with
the use of MINITAB for data analysis is required. Candidates must be
sensitive to the needs of the mature learner.
Synchronous and asynchronous discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Mathematics Laboratory Instructor.
The lab instructor is required to follow the course syllabus and
guidelines for lab assignments and grading.

Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness.
Due to distance, the mailing of materials may extend beyond the
traditional time frames.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: msvumath@msvu.ca

Application deadline: 10/31/2020
—————————————————

 

—————————————————
Department/Faculty: Mathematics
Course Name: LAB: Intro to Statistics II
Course Code: MATH 209D DD
Academic Term: Winter
Class Timetable: Th 06:30PM – 07:45PM

Course Unit Value: 0.125
—————————————————
Start Date: 1/11/2021
End Date: 4/27/2021
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics. In addition, experience teaching similar
introductory statistics labs to non-science majors is required.

Candidates must also have experience using the Blackboard Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. In addition, experience with
the use of MINITAB for data analysis is required. Candidates must be
sensitive to the needs of the mature learner.
Synchronous and asynchronous discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Mathematics Laboratory Instructor.
The lab instructor is required to follow the course syllabus and
guidelines for lab assignments and grading.

Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness.
Due to distance, the mailing of materials may extend beyond the
traditional time frames.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: msvumath@msvu.ca

Application deadline: 10/31/2020
—————————————————

 

—————————————————
Department/Faculty: Mathematics
Course Name: LAB: Intro to Statistics II
Course Code: MATH 209D DE
Academic Term: Winter
Class Timetable: Th 08:00PM – 09:15PM

Course Unit Value: 0.125
—————————————————
Start Date: 1/11/2021
End Date: 4/27/2021
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics. In addition, experience teaching similar
introductory statistics labs to non-science majors is required.

Candidates must also have experience using the Blackboard Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. In addition, experience with
the use of MINITAB for data analysis is required. Candidates must be
sensitive to the needs of the mature learner.
Synchronous and asynchronous discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Mathematics Laboratory Instructor.
The lab instructor is required to follow the course syllabus and
guidelines for lab assignments and grading.

Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness.
Due to distance, the mailing of materials may extend beyond the
traditional time frames.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: msvumath@msvu.ca

Application deadline: 10/31/2020
—————————————————

 

—————————————————
Department/Faculty: Mathematics
Course Name: LAB: Intro to Statistics II
Course Code: MATH 209D DF
Academic Term: Winter
Class Timetable: Th 09:30PM – 10:45PM

Course Unit Value: 0.125
—————————————————
Start Date: 1/11/2021
End Date: 4/27/2021
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics. In addition, experience teaching similar
introductory statistics labs to non-science majors is required.

Candidates must also have experience using the Blackboard Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. In addition, experience with
the use of MINITAB for data analysis is required. Candidates must be
sensitive to the needs of the mature learner.
Synchronous and asynchronous discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Mathematics Laboratory Instructor.
The lab instructor is required to follow the course syllabus and
guidelines for lab assignments and grading.

Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness.
Due to distance, the mailing of materials may extend beyond the
traditional time frames.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: msvumath@msvu.ca

Application deadline: 10/31/2020
—————————————————

 

—————————————————
Department/Faculty: Mathematics
Course Name: Introduction to Statistics I
Course Code: MATH 2208 29
Academic Term: Winter
Class Timetable: M 07:00PM – 09:00PM
Course Unit Value: 0.5
—————————————————
Start Date: 1/11/2021
End Date: 4/27/2021
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
advanced coursework in Statistics.
In addition, experience teaching a similar introductory statistics course
to non-science majors.

Also experience with using MINITAB for data analysis is required.
Candidates must have experience using the Blackboard Collaborate virtual
classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
This is a coordinated course with a laboratory component. The laboratory
components are taught by the laboratory instructor.  Instructors are
required to follow the common course syllabus and guidelines for
assignments, midterm and final exams, and grades.

Due to distance, the mailing of materials may extend beyond the
traditional time frames of the course.

—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: msvumath@msvu.ca

Application deadline: 10/31/2020
—————————————————

—————————————————
Department/Faculty: Mathematics
Course Name: Introduction to Statistics I
Course Code: MATH 2208 38
Academic Term: Winter
Class Timetable: T 07:00PM – 09:00PM

Course Unit Value: 0.5
—————————————————
Start Date: 1/11/2021
End Date: 4/27/2021
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
advanced coursework in Statistics.
In addition, experience teaching a similar introductory statistics course
to non-science majors.

Also experience with using MINITAB for data analysis is required.
Candidates must have experience using the Blackboard Collaborate virtual
classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
This is a coordinated course with a laboratory component. The laboratory
components are taught by the laboratory instructor.  Instructors are
required to follow the common course syllabus and guidelines for
assignments, midterm and final exams, and grades.

Due to distance, the mailing of materials may extend beyond the
traditional time frames of the course.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: msvumath@msvu.ca

Application deadline: 10/31/2020
—————————————————

 

—————————————————
Department/Faculty: Mathematics
Course Name: Introduction to Statistics II
Course Code: MATH 2209 19
Academic Term: Winter
Class Timetable: M 07:00PM – 09:00PM
Course Unit Value: 0.5
—————————————————
Start Date: 1/11/2021
End Date: 4/27/2021
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
advanced coursework in Statistics.
In addition, experience teaching a similar introductory statistics course
to non-science majors.

Also experience with using MINITAB for data analysis is required.
Due to the Covid-19 pandemic this class will be taught entirely online.
Candidates must therefore have experience using the Blackboard Collaborate

 

virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
This is a coordinated course with a laboratory component. The laboratory
components are taught by the laboratory instructor.  Instructors are
required to follow the common course syllabus and guidelines for
assignments, midterm and final exams, and grades.

Due to distance, the mailing of materials may extend beyond the
traditional time frames of the course.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: msvumath@msvu.ca

Application deadline: 10/31/2020
—————————————————

 

—————————————————
Department/Faculty: Mathematics
Course Name: Introduction to Statistics II
Course Code: MATH 2209 28
Academic Term: Winter
Class Timetable: T 08:00PM – 10:00PM

Course Unit Value: 0.5
—————————————————
Start Date: 1/11/2021
End Date: 4/27/2021
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
advanced coursework in Statistics.
In addition, experience teaching a similar introductory statistics course
to non-science majors.

Also experience with using MINITAB for data analysis is required.
Due to the Covid-19 pandemic this class will be taught entirely online.
Candidates must therefore have experience using the Blackboard Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
This is a coordinated course with a laboratory component. The laboratory
components are taught by the laboratory instructor.  Instructors are
required to follow the common course syllabus and guidelines for
assignments, midterm and final exams, and grades.

Due to distance, the mailing of materials may extend beyond the
traditional time frames of the course.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: msvumath@msvu.ca

Application deadline: 10/31/2020
—————————————————

—————————————————
Department/Faculty: Mathematics
Course Name: LAB: Intro to Statistics II
Course Code: MATH 209L LJ
Academic Term: Winter
Class Timetable: W 06:00PM – 07:15PM Sync. Online
Course Unit Value: 0.125
—————————————————
Start Date: 1/11/2021
End Date: 4/27/2021
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics. In addition, experience teaching similar
introductory statistics labs to non-science majors is required.

Due to the Covid-19 pandemic this lab will be taught entirely online.

Candidates must also have experience using the Blackboard Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. In addition, experience with
the use of MINITAB for data analysis is required. Candidates must be
sensitive to the needs of the mature learner.
Synchronous and asynchronous discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Mathematics Laboratory Instructor.
The lab instructor is required to follow the course syllabus and
guidelines for lab assignments and grading.

Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness.
Due to distance, the mailing of materials may extend beyond the
traditional time frames.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: msvumath@msvu.ca

Application deadline: 10/31/2020
—————————————————

—————————————————
Department/Faculty: Mathematics
Course Name: LAB: Intro to Statistics II
Course Code: MATH 209L LI
Academic Term: Winter
Class Timetable: W 03:00PM – 04:15PM Sync. Online
Course Unit Value: 0.125
—————————————————
Start Date: 1/11/2021
End Date: 4/27/2021
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics. In addition, experience teaching similar
introductory statistics labs to non-science majors is required.

Due to the Covid-19 pandemic this lab will be taught entirely online.

Candidates must also have experience using the Blackboard Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. In addition, experience with
the use of MINITAB for data analysis is required. Candidates must be
sensitive to the needs of the mature learner.
Synchronous and asynchronous discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Mathematics Laboratory Instructor.
The lab instructor is required to follow the course syllabus and
guidelines for lab assignments and grading.

Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness.
Due to distance, the mailing of materials may extend beyond the
traditional time frames.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: msvumath@msvu.ca

Application deadline: 10/31/2020
—————————————————

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