Sessional Lecturer - CSC413H5F LEC101 (emerg posting)

University of Toronto•Mississauga, ON

3d•Onsite

About The Position

This posting is for a Sessional Lecturer position for the course CSC413H5F LEC101 – Neural Networks and Deep Learning. The course provides an introduction to neural networks and deep learning, covering topics such as backpropagation, automatic differentiation, convolutional and recurrent neural networks, optimization and generalization methods, and neural networks for unsupervised and reinforcement learning. The estimated course enrollment is 60 students. The appointment dates are from September 1, 2026, to December 31, 2026. The position involves delivering lectures, preparing and marking assignments and exams, maintaining a course website, supervising Teaching Assistants (TAs), managing course grades, and handling student petitions. Instructors are expected to follow the basic content and style used by the faculty members who normally teach the course, while having room for creativity in course delivery.

Requirements

Completion of a graduate degree in Computer Science or education
Advanced comprehension of the subject matter as evidenced by research activity, industry experience, or teaching experience
Strong organizational, interpersonal, and communication skills

Nice To Haves

Demonstrated evidence of excellence in teaching
Demonstrable currency and mastery

Responsibilities

Developing and delivering lectures
Preparing tutorials, assignments, tests, and marking schemes
Maintaining a course website
Providing appropriate contact time outside of class to students through office hours, emails, the course website, and/or the course discussion board
Writing the TA contract(s) for the course and supervising the TAs
Managing the grading for the course, which is largely done by TAs
Doing any grading not handled by TAs
Invigilating the final exam
Managing the grades and submitting the final course grades
Dealing with student petitions
Setting and grading a make-up exam if required