About this role
University of Toronto
Faculty of Information
Sessional Lecturer
Summer Term 2026 – Session Y (May – August)
INF2179H – Machine Learning with Applications in Python
Course Description: Machine learning has recently become the dominant field in AI research and constitutes the main part of the tools applied in industry-based AI positions. Business analysts, data scientists and AI engineers are required to know machine learning at different levels. The course will give a broad high-level overview of state-of-the-art machine learning methodologies. We shall focus on the application of these techniques to real-world data using the most advanced tools available for Python. The techniques will include: linear regression, basic techniques for classification, advanced regression and classification methods, and unsupervised learning.
INF2179H – Machine Learning with Applications in Python
Estimate of the course enrolment: 35
Estimate of TA Support: None anticipated. Estimate of 75 hours with enrollment of 36 or greater. Allocation of TA hours, if any, will be based on enrolment numbers.
Class Schedule: TBD. You are required to be located in geographical proximity to the applicable University premises in order to attend and perform your duties on University premises as of the Starting Date.
Sessional dates of appointment: May 1, 2026 – August 31, 2026
Salary:
Sessional Lecturer I: $10,696
Sessional Lecturer I Long Term: $11,445
Sessional Lecturer II $11,445
Sessional Lecturer II Long Term: $11,713
Sessional Lecturer III: $11,713
Sessional Lecturer III Long Term: $11,986
Please note that should rates stipulated in the collective agreement vary from rates stated in this posting, the rates stated in the collective agreement shall prevail.
Qualifications: Preferably candidates will have a completed, or nearly completed, PhD degree in an area related to the course or a Master’s degree plus extensive professional experience in an area related to the course. Teaching experience is preferred.
Brief description of duties: Preparing course materials; delivering course content (e.g., seminars, lectures, and labs); developing and administering course assignments, tests & exams; grading; holding regular office hours.
Application Deadline: Feb. 10, 2026
Application Process: Applicants must submit a CV and a completed CUPE 3902 Unit 3 application form in one pdf file to the attention of:
Nafiseh Yazdian, Administrative Coordinator
Faculty of Information, 140 St. George Street University of Toronto
[email protected]
This job is posted in accordance with the CUPE 3902 Unit 3 Collective Agreement. Preference in hiring is given to qualified individuals advanced to the rank of Sessional Lecturer II and Sessional Lecturer III in accordance with Article 14:12.
Other facts
About University of Toronto
The Department of Leadership, Higher & Adult Education (LHAE) at the Ontario Institute for Studies in Education is a dynamic and inclusive learning community comprised of scholars focused on educational leadership and administration, policy and change, social justice, and community engagement.
Our department considers education broadly, as it occurs inside and outside of formal educational settings. Our courses and programs consider relations between different social settings, such as families, workplaces, local communities, and national and international contexts.
Themes running through our research and teaching include equity and social justice, professional education, policy studies, educational leadership and organizations and adult learning within institutions and settings.
What you'll do
- The Sessional Lecturer will prepare course materials, deliver course content, and develop and administer assignments, tests, and exams. They will also be responsible for grading and holding regular office hours.
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