Sessional Instructor: DATA , Department of Computer Science, Faculty of Science

Overview

The Department of Computer Science within the Faculty of Science invites applications for a DATA 221 Sessional Instructor for the Fall 2026 Term.

The successful candidate will have responsibilities for instruction and related duties for this 3-unit course during the Fall 2026 Term (in-person), including supervision and direction of teaching assistants who will teach the tutorial sections.

Data Science 221 - Introduction to Data Science

An introduction to commonly used programming tools and techniques for managing, visualizing, and making sense of data. Human implications of data collection, analysis, and use, including ethics, privacy, and alternate ways of knowing.

Fall 2026 Term Dates: Monday, Aug 24, 2026, to Thursday, Dec 24, 2026

Delivery Mode(s): All course components will be delivered in person.

Teaching

Schedule:

To be confirmed. Please monitor the department course information page for updates.

Qualifications: Applicants should have a minimum of an MSc in Computer Science or a closely related discipline; a PhD is preferred. Preference will be given to graduate students and postdocs in the program seeking teaching experience, followed by applicants with a postgraduate degree.

Application: Please apply online via the department’s application portal. A complete application should be submitted in a single PDF and include the following:

• Current curriculum vitae
• Concise statement of teaching philosophy
• Teaching dossier describing past teaching experience, evidence of application of teaching philosophy, and reflective practices
• Three letters of reference

Note: Applicants who have taught as a sessional instructor in the Faculty of Science may choose to submit only a cover letter and current CV.

Final date to receive applications: July 27, 2026

Please visit the department website for further information about the Department of Computer Science.

Remuneration is calculated according to the applicable collective agreement. Please refer to the Faculty Association's website for information regarding conditions of employment and remuneration. The department maintains the right of first refusal terms for Sessional Appointments as per the collective agreement.

As an equitable and inclusive employer, the university recognizes that a diverse staff and faculty benefit and enrich the work, learning, and research experiences of the campus community. The university encourages individuals from diverse backgrounds to apply and offers accommodations at any stage of the recruitment process to applicants with disabilities.

All qualified candidates are encouraged to apply; however Canadians and permanent residents will be given priority. At the time of application, applicants may answer whether they are a Canadian citizen or permanent resident.