TA (CUPE) - MIA5126 B - Winter 2027

Posting Reason

New Position

Location where work is to be performed

Main Campus

Session

2027 Winter Semester | Trimestre d'hiver

Faculty

Faculté de génien / 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

Essential Concepts in Data Science

Course Code

MIA5126

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 :14
• Surveillance / Proctoring :3
• Formation / Training :0
• Autre / Other :3

Number of positions

1 Expected Enrolment: 20 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 data science techniques such as regression, classification, clustering, survival analysis, time series analysis, association rule mining, and collaborative filtering. Hands-on experience with industry tools and programming languages, particularly Python and SQL, 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, and/or who have previous experience as a teaching assistant for a related course, and/or worked on data science 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 current