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- Employment type
- Part-time
- Experience level
- Entry, Junior · 0+ years
- Minimum education
- Bachelor’s degree
- Apply by
- Oct 31, 2026
- Posting language
- English
- Working hours
- 3 hours per week
Job summary
The teaching assistant will provide academic support to students for the Mathematical Methods I course. Responsibilities include conducting discussion groups and assisting students with course material.
Job details
Posting Reason: New Position Location where work is to be performed: STEM Session: 2027 Winter Semester | Trimestre d'hiver Faculty: Faculté des sciences / Faculty of Science Unit: Department of Mathematics and Statistics, Students & Casuals Job Classification: Teaching Assistant/Demonstrator/Lab Monitor (CUPE) Posting Type: Cours précis / Specific course Course Title: Mathematical Methods I Course Code: MAT-1300 Section: F Supervisor name (if known): Catalin Rada Date Posted (YYYY/MM/DD): 2026/10/05 Applications must be received BEFORE (YYYY/MM/DD): 2026/10/31 Description of tasks (hours): Unless specified below, specific allocation of hours to various tasks should be articulated in a description of work negotiated and signed by you and the supervising professor prior to the commencement of work. Recherche / Research:0 Préparation / Preparation:0 Contact avec étudiants / Contact with Students:50 Correction - Notation / Grading:0 Surveillance / Proctoring:0 Formation / Training:0 Autre / Other:0 Number of positions: 2 Expected Enrolment: 115 Work Start Date: January 01, 2027 Work End Date: April 30, 2027 Total Work Hours: 50 Hourly Rate: AE-RA-Tuteur / TA-RA-Tutor : $32.84 ou/or $51.75 (Sept. 2025 - Aug. 2026) Undergraduate students will be paid at the lower rate; while graduate students will be paid at the higher rate. These rates do not include vacation pay nor statutory pay. Method of Delivery: In Person Language of Work: Anglais | English Requirements and Nature of Work: Student with a minimum of 30 credits in mathematics and statistics and strong understanding of the subjects to provide: TA 50H Option 1 DGD F01: Fridays from 8:30 am to 9:50 am DGD F02: Fridays from 4:00 pm to 5:20 pm Priority will be given to the Graduate students in the Mathematics and Statistic Department. Additional Information and/or Comments: All University of Ottawa employees are required under provincial law to successfully complete all mandatory legislated training offered by the University. The list of training requirements may be modified by provincial law. If you are invited to continue the selection process, please notify us of any particular adaptive measures you might require. We may consult with the Health and Wellness sector of Human Resources, if needed. Any information you send us will be handled respectfully and in complete confidence. The hiring process will be governed by the current CUPE 2626 collective agreement; you can click here to find out more. The University of Ottawa embraces diversity and inclusion in the workplace. We are passionate about our people and committed to employment equity. We foster a culture of respect, teamwork and inclusion, where collaboration, innovation, and creativity fuel our quest for research and teaching excellence. While all qualified persons are invited to apply, we welcome applications from qualified Indigenous persons, racialized persons, persons with disabilities, women and LGBTQIA2S+ persons. The University is committed to creating and maintaining an accessible, barrier-free work environment. The University is also committed to working with applicants with disabilities requesting accommodation during the recruitment, assessment and selection processes. Applicants with disabilities may contact the academic unit to communicate the accommodation need. Prior to May 1, 2022, the University required all students, faculty, staff, and visitors (including contractors) to be fully vaccinated against Covid-19 as defined in Policy 129 – Covid-19 Vaccination. This policy was suspended effective May 1, 2022 but may be reinstated at any point in the future depending on public health guidelines and the recommendations of experts.
What you’ll do
The teaching assistant will provide academic support to students for the Mathematical Methods I course. Responsibilities include conducting discussion groups and assisting students with course material.
Requirements
Applicants must have completed a minimum of 30 credits in mathematics and statistics. Priority is given to graduate students within the Department of Mathematics and Statistics.
Listed skills
- Teamwork · Preferred
- Recruitment · Preferred
- assessment · Preferred
- Training · Preferred
- Collaboration · Preferred
- preparation · Preferred
- staff · Preferred
- Health · Preferred
- Process · Preferred
- Correction · Preferred
- future · Preferred
- English · Preferred
Other relevant skills
Identified from the job description. Confirm important requirements above.
- Mathematics
- Statistics
- Teaching
- Grading
- Student support
- Employment Equity
- Workplace Inclusivity
- Research
- Creativity
- English Language
- Innovation
- Teamwork
Job areas
- Education
- Science & Research
- Data Manager
- Teacher Assistant
- Teachers' Aides
- Teaching Assistants, All Other
- Teaching Assistants, Except Postsecondary
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