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.
Jobs are listed newest-to-oldest and expired job postings are periodically archived.
———————————————  Course Unit Value: 0.5
————————————————— Start Date: 7/2/2025 End Date: 8/15/2025 ————————————————— 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 online. Instructors are required to invigilate proctored tests and exams for Application deadline: 3/6/2025 ——————————————– Course Unit Value: 0.5
————————————————— Start Date: 7/2/2025 End Date: 8/15/2025 ————————————————— 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 online. Instructors are required to invigilate proctored tests and exams for Application deadline: 3/6/2025 ——————————————— —————————————————
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 online. Instructors are required to invigilate proctored tests and exams for Application deadline: 3/6/2025 —————————————— Course Unit Value: 0.5
————————————————— Start Date: 5/5/2025 End Date: 6/20/2025 ————————————————— 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 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 Application deadline: 3/6/2025 ———————————————– Course Unit Value: 0.5
————————————————— Start Date: 5/5/2025 End Date: 6/20/2025 ————————————————— 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 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 Application deadline: 3/6/2025 ——————————————- Course Unit Value: 0.5
————————————————— Start Date: 5/5/2025 End Date: 6/20/2025 ————————————————— 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 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 Application deadline: 3/6/2025 ——————————————- Course Unit Value: 0.5
————————————————— Start Date: 5/5/2025 End Date: 6/20/2025 ————————————————— 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 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 Application deadline: 3/6/2025 ——————————————— Course Unit Value: 0.5
————————————————— Start Date: 5/5/2025 End Date: 6/20/2025 ————————————————— 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 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 Application deadline: 3/6/2025 ——————————————– Course Unit Value: 0.5
————————————————— Start Date: 5/5/2025 End Date: 6/20/2025 ————————————————— 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 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 Application deadline: 3/6/2025 ——————————————— In addition, experience teaching similar introductory statistics to Candidates must also have experience using the Blackboard/Collaborate Synchronous and asynchronous discussions occur during the week online. Instructors are required to invigilate proctored tests and exams for —————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement between Mount Saint Vincent 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.caApplication deadline: 3/6/2025 ————————————————– ——————————————— Course Unit Value: 0.125
————————————————— Start Date: 7/2/2025 End Date: 8/15/2025 ————————————————— 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 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 Application deadline: 3/6/2025 ———————————————- —————————————————
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 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 Application deadline: 3/6/2025 ———————————————- —————————————————
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 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 Application deadline: 3/6/2025 ——————————————– —————————————————
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 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 Application deadline: 3/6/2025 ———————————————- —————————————————
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 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 Application deadline: 3/6/2025 ——————————————– —————————————————
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 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 Application deadline: 3/6/2025 ——————————————— Course Unit Value: 0.125
————————————————— Start Date: 5/5/2025 End Date: 6/20/2025 ————————————————— 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 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 Application deadline: 3/6/2025 ——————————————- Course Unit Value: 0.125
————————————————— Start Date: 5/5/2025 End Date: 6/20/2025 ————————————————— 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 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 Application deadline: 3/6/2025 ———————————————– Course Unit Value: 0.125
————————————————— Start Date: 5/5/2025 End Date: 6/20/2025 ————————————————— 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 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 Application deadline: 3/6/2025 —————————————— Course Unit Value: 0.125
————————————————— Start Date: 5/5/2025 End Date: 6/20/2025 ————————————————— 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 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 Application deadline: 3/6/2025 ———————————————- Course Unit Value: 0.125
————————————————— Start Date: 5/5/2025 End Date: 6/20/2025 ————————————————— 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 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 Application deadline: 3/6/2025 ——————————————– Course Unit Value: 0.125
————————————————— Start Date: 5/5/2025 End Date: 6/20/2025 ————————————————— 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 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 Application deadline: 3/6/2025 ————————————— In addition, experience teaching similar introductory statistics labs to Candidates must also have experience using the Blackboard/Collaborate Synchronous and asynchronous discussions occur during the week online. Email messages from students received outside the scheduled laboratory Instructors are required to invigilate proctored tests and exams for
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Remuneration: Remuneration is in accordance with the Collective Agreement between Mount Saint Vincent 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.caApplication deadline: 3/6/2025 ————————————————— ———————————————- —————————————————
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 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 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: The candidate will assist with writing and proctoring exams. 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.caApplication deadline: 3/6/2025 ——————————————— ———————————————— Candidates must have experience and be prepared to teach using the Synchronous and asynchronous discussions occur during the week online. ————————————————— —————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement between Mount Saint Vincent 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.caApplication deadline: 3/6/2025 ————————————————- —————————————— —————————————————
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 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). ————————————————— Application deadline: 3/6/2025 ———————————————– In addition, experience teaching a similar course to prepare non-science Candidates must also have experience using the Blackboard/Collaborate Synchronous and asynchronous discussions occur during the week online. Application deadline: 3/6/2025 |
Posting Detail Information
Documents Needed to ApplyRequired Documents
Optional Documents
Posting Detail Information
Documents Needed to ApplyRequired Documents
Optional Documents
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——————————————— In addition, experience teaching similar introductory statistics labs to Please note that in the event that it is required that this on campus Email messages from students received outside the scheduled laboratory Application deadline: 11/29/2024 |
Department of Mathematics and Computing Science PART-TIME POSITIONS WINTER SEMESTER 2025 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, 2025 (January 8 – April 23). See below for specific courses, recitations, and labs. Please note the following:
Send your application to: ptpositionsCS@cs.smu.ca Please include the following documentation with your application:
*The stipend is subject to the current collective agreement between CUPE and Saint Mary’s University Applications should be received no later than November 20, 2024 The Department requires the following qualifications and experience for the following labs:
CSCI 1227.2LB F 8:30 AM – 11:30 AM ON CAMPUS 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 Department requires the following qualifications and experience for the following course and recitations:
The course and recitations are offered as a unit: preference will be given to instructors willing to teach the recitations as well. Data Structures & Algorithms I CSCI 2341.2 MW 10:00am – 11:15am ON CAMPUS CSCI 2341.2RA M 11:30am – 12:45pm ON CAMPUS CSCI 2341.2RB W 11:30am – 12:45pm ON CAMPUS The Department requires the following qualification and experience for the following course and recitations:
The course and recitations are offered as a unit: preference will be given to instructors willing to teach the recitations as well. 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 qualifications and experience for the following course:
The course and recitations are offered as a unit: preference will be given to instructors willing to teach the recitations as well. Operating Systems CSCI 3431.2 MW 11:30 AM – 12:45 PM ON CAMPUS CSCI 3461.2RA M 1:00 PM – 2:15 PM ON CAMPUS CSCI 3461.2RB W 1:00 PM – 2:15 PM ON CAMPUS The Department requires the following qualifications and experience for the following course:
The course and recitations are offered as a unit: preference will be given to instructors willing to teach the recitations as well. Database Systems CSCI 3461.2 MW 5:30 PM – 6:45 PM ON CAMPUS CSCI 3461.2RA M 7:00 PM – 8:15 PM ON CAMPUS Applications should be received no later than November 20, 2024 |
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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 2025 Schedule: Lectures Tuesday 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:
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 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, 2024 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 2025 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:
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, 2024 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. |
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——————————————– In addition, experience teaching similar introductory statistics labs to Please note that in the event that it is required that this on campus Email messages from students received outside the scheduled laboratory Application deadline: 8/12/2024 |
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PART-TIME POSITION FALL SEMESTER 2024 CSCI 3830.1 (Special Topics: Introduction to Enterprise Resource Planning) The Department of Mathematics & Computing Science is seeking to staff the following course for the Fall Semester, 2024 (September 4 – December 19): CSCI 3830.1 MW 5:30 PM – 6:45 PM ON CAMPUS The successful applicant 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. Please note that course days/times and the final day of the term are subject to change. The stipend* for the CSCI 3830.1 course is $6111.00 – $6812.50 (depending on experience at Saint Mary’s). The Department requires the following qualifications and experience: Minimum Master’s Degree in Computing Science. Successful industrial experience in Enterprise Resource Planning. 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/scans 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 August 7, 2024 |
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