Lead CSC2515HS, Introduction to Machine Learning, at the University of Toronto’s St. George campus. The course is currently delivered in person.

This Sessional Lecturer appointment covers a 0.5 FCE course from January 1 to April 30, 2027. You will teach foundational machine learning concepts and commonly used algorithms, preparing students for advanced study. Topics include linear and nonlinear models, loss functions, bias and variance, ensemble methods, and optimization.

Key Responsibilities:

- Deliver lectures according to the scheduled in-person campus timetable
- Prepare course materials, syllabus, assessments, and marking schemes
- Plan tutorial content and coordinate teaching assistant support
- Offer office hours, email, and website-based student contact




- Release grades and feedback promptly throughout the term

Requirements:

- Doctoral degree in Computer Science or closely related discipline
- Expertise in the course topic area demonstrated
- Teaching experience at university or equivalent industry level
- Solid communication, interpersonal, and organizational abilities
- Evidence of teaching excellence preferred

Bring machine learning knowledge, assessment planning, and university teaching experience to the University of Toronto classroom.

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📌 HS University Machine Learning Instructor (Toronto)
🏢 University of Toronto
📍 Toronto