Posting Reason:
New PositionLocation where work is to be performed:
Main CampusSession:
2026 Fall Semester | Trimestre d'automneFaculty:
Faculté de génie / Faculty of EngineeringUnit:
EECS_STJob Classification:
Teaching Assistant/Demonstrator/Lab Monitor (CUPE)Posting Type:
Cours précis / Specific courseCourse Title:
Machine LearningCourse Code:
CSI5155Section:
Supervisor name (if known):
Date Posted (YYYY/MM/DD):
2026/07/03Applications must be received BEFORE (YYYY/MM/DD):
2026/07/17Description 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:0Préparation / Preparation:0Contact avec étudiants / Contact with Students:0Correction - Notation / Grading:0Surveillance / Proctoring:0Formation / Training:0Autre / Other:0Number of positions:
1Expected Enrolment:
43Work Start Date:
September 01, 2026Work End Date:
December 31, 2026Total Work Hours:
130Hourly Rate:
AE-RA-Tuteur / TA-RA-Tutor : $31.89 ou/or $50.25 (2024-2025)The academic year starts on September 1 and ends on August 31.
Undergraduate students will be paid at the lower rate; while graduate students will be paid at the higher rate.
These rates do not included vacation pay nor statutory pay.
These rates will be applied until a new collective agreement is ratified. Retro will be paid after the ratification.
Language of Work:
Anglais | EnglishRequirements and Nature of Work:
Mark, grade, calculate and record grades of students' work.
Preference will be given to candidates who have completed this course or its equivalent and its prerequisite(s) with a mark of A or better. Attend a TA workshop if necessary. Must be ready for an interview if considered for this position. Excellent knowledge of machine learning theory and applications, including methods for data pre-processing; supervised learning algorithms; unsupervised learning methods; semi-supervised learning; evaluation strategies and metrics; as well as experience with machine learning programming.
NOTE: le nombre de postes et le nombre d'heures offertes sont tous deux assujettis aux inscriptions finales dans ce cours. Please note that the number of hours offered may varie due to enrolments in that course.
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.
Skills Required
- Excellent knowledge of machine learning theory and applications (data pre-processing, supervised, unsupervised, semi-supervised methods, evaluation strategies and metrics).
- Experience with machine learning programming.
- Preference given to candidates who have completed this course or equivalent with a mark of A or better.
- Attend a TA workshop if necessary.
- Must be ready for an interview if considered for this position.
- Work language: English.
What We Do
The University of Ottawa is a bilingual, research-intensive university in Canada that offers a wide range of undergraduate, graduate, and continuing education programs across ten faculties.
