Teach machine learning at the University of Toronto’s St. George campus, using solid communication and course expertise. This appointment is currently in person.

As Sessional Lecturer for CSC2515HS, Introduction to Machine Learning, you will introduce core concepts, algorithms, and models. The 0.5 FCE appointment runs January 1 through April 30, 2027. Students study supervised, unsupervised, and reinforcement learning, neural networks, optimization, and probabilistic methods.

Key Responsibilities:

- Prepare and deliver scheduled in-person lectures on campus
- Develop syllabi, marking schemes, assessments, and tutorial content
- Maintain the course website and provide student contact time
- Supervise teaching assistants and coordinate tutorial or lab delivery




- Manage grading, exams, grades, and student feedback

Requirements:

- Doctoral degree in Computer Science or closely related field
- Demonstrated expertise in machine learning required
- University-level or equivalent industry teaching experience
- Strong organizational, interpersonal, and communication skills
- Undergraduate Computer Science teaching experience preferred

Apply machine learning expertise, teaching experience, and communication skills to deliver CSC2515HS at the University of Toronto.

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📌 Machine Learning Sessional Lecturer (Toronto)
🏢 University of Toronto
📍 Toronto