Posting Reason: New Position Location where work is to be performed: Main Campus Session: 2027 Winter Semester | Trimestre d'hiver Faculty: Faculté de génie / Faculty of Engineering Unit: School of Engineering Design and Teaching Innovation_ST Job Classification: Teaching Assistant/Demonstrator/Lab Monitor (CUPE) Posting Type: Cours précis / Specific course Course Title: Foundations and Applications of Machine Learning Course Code: MIA5100 Section: B Supervisor name (if known): Olubisi Atinuke Runsewe Date Posted (YYYY/MM/DD): 2026/10/28 Applications must be received BEFORE (YYYY/MM/DD): 2026/11/13 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 :12 Correction - Notation / Grading :15 Surveillance / Proctoring :3 Formation / Training :0 Autre / Other :2 Number of positions: 1 Expected Enrolment: 22 Work Start Date: janvier 04, 2027 Work End Date: avril 30, 2027 Total Work Hours: 32.5 Hourly Rate: AE-RA-Tuteur / TA-RA-Tutor : $33.83 ou/or $53.31 (Sept. 2026 - Aug. 2027) 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: na Language of Work: Anglais | English Requirements and Nature of Work: Must have strong theoretical knowledge of foundational AI/ML techniques such as statistical learning theory, supervised and unsupervised learning, deep learning, NLP, computer vision with applications to real-world use cases. Hands-on experience with industry tools and libraries commonly used for AI/ML model development (e.g., Python, Scikit-learn, Keras, NLTK, SpaCy, etc.), as well as knowledge of application deployment, is required. Should have excellent communication skills and the ability to simplify complex topics to support student comprehension. Preference will be given to candidates who have completed a related course with a minimum grade of A, or have prior experience as a teaching assistant for a similar course, and/or worked on AI/ML projects in an industry setting. 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. Start by filtering by Full/Part-time Then filter by Job Type: Academic Term for Part-Time Professor positions Academic Regular for Full-Time Professor positions For Canada Research Chair positions, filter the Academic Regular results by the Job Profile filter for “CRC” Admin Regular or Admin Term for all administrative and support positions, including management and senior leadership roles Student for TA/RA positions and other part-time positions available to students Then filter by Job Category or by Faculty/Service IF you are currently an active employee of the University of Ottawa, please apply using your worker profile in Workday and NOT through this external site. The University of Ottawa is the largest bilingual (English-French) university in the world. Located at the heart of Canada’s capital, we have ready access to the great institutions of our country. Our advances in social sciences, health, engineering, science and the humanities make uOttawa a unique place to learn, grow and excel. The University of Ottawa aspires to employing a staff that fully represents the diversity of Canada's population. As a result, it is committed to employment equity principles and aims to provide an inclusive and barrier-free workplace. The University of Ottawa offers a generous pay and benefits package that includes a competitive salary, a defined benefit pension plan, group insurance coverage and an employee and family assistance program. Explore Our Benefits

TA (CUPE) - MIA5100 B - Winter 2027.

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