TA (CUPE) - SYS5185 A/GNG5300 G - Winter 2027

University of Ottawa; Ottawa; On-site; CAD 47,000 - 73,000; Part time

Job summary

University of Ottawa is seeking a Teaching Assistant/Tutor for Foundations and Applications of Machine Learning (SYS5185 A/GNG5300 G/ IAI5100 A). The role involves direct interaction with students, grading, and proctoring exams at the Main Campus during the 2027 Winter Semester.

Applicants should have completed the related course with an A or better and possess strong ML theory knowledge, feature engineering skills, and ML programming experience.

Qualifications

• Must have completed an equivalent course with a mark of A or better.
• Excellent knowledge of machine learning theory and applications.
• Experience with machine learning programming.

Responsibilities

• Engage with students and support learning activities.
• Grade assignments and provide feedback within course timelines.
• Proctor mid-term and final exams as required.

Skills

ML theory

Feature engineering

Supervised learning

Unsupervised learning

ML programming

Education

Equivalent course with A or better

Tools

Python

Job description

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:

SYS5185 A/GNG5300 G/ IAI5100 A

Section:

Supervisor name (if known):

Yiwei Lu

Date Posted (YYYY/MM/DD):

2026/10/27

Applications must be received BEFORE (YYYY/MM/DD):

2026/11/12

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:28
• Correction - Notation / Grading:32
• Surveillance / Proctoring:5
• Formation / Training:0
• Autre / Other:0

Number of positions:

1

Expected Enrolment:

70

Work Start Date:

janvier 04, 2027

Work End Date:

avril 30, 2027

Total Work Hours:

65

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:

“Preference will be given to candidates who have completed an equivalent course and its prerequisite(s) with a mark of A or better. Must be ready for an interview if considered for this position. Excellent knowledge of machine learning theory and applications, including methods for feature engineering; supervised learning algorithms; unsupervised learning methods; evaluation strategies and metrics; as well as experience with machine learning programming.”

Additional Information and/or Comments:

Proctoring mid-term and Final Exam

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.