Job Opportunity at the University of Toronto: Sessional Lecturer for Fall Term 2024

Faculty of Information

Position: Sessional Lecturer

Course Title: INF2404H – Explainability & Fairness for Responsible Machine Learning

Course Description:

Machine Learning applications are increasingly utilized to make crucial decisions in sectors such as healthcare, financial services, public safety, and higher education. This course examines state-of-the-art techniques and technologies related to explainability and fairness in machine learning applications. Addressing these human-centric aspects is pivotal for the design and operation of responsible machine learning systems. Students will explore frameworks and techniques for architectural modeling, analysis, and design to understand explainability and fairness in real-world applications.

Course Details:

Course Enrollment Estimate: 35
Teaching Assistant Support: None anticipated. Estimate of 75 hours with enrollment of 36 or greater. TA hours, if any, will be allocated based on enrollment numbers.

Class Schedule:

To Be Determined. Applicants must be located in geographical proximity to the University of Toronto premises by the course start date to perform duties on campus.

Sessional Dates of Appointment:

September 1, 2024 – December 31, 2024

Salary:

• Sessional Lecturer I: $10,300
• Sessional Lecturer I Long Term: $10,764
• Sessional Lecturer II: $11,021
• Sessional Lecturer II Long Term: $11,227
• Sessional Lecturer III: $11,279
• Sessional Lecturer III Long Term: $11,485

Note: If there are discrepancies between these rates and those stipulated in the CUPE 3902 Unit 3 Collective Agreement, the rates in the agreement will prevail.

Qualifications:

Preferred candidates will have a completed, or nearly completed, PhD in a related area, or a Master’s degree with extensive professional experience in the relevant field. Prior teaching experience is an asset.

Brief Description of Duties:

Responsibilities include preparing course materials, delivering course content (seminars, lectures, and labs), developing and administering assignments, tests and exams, grading, and holding regular office hours.

Application Details:

Deadline: June 25, 2024
Application Process: Interested candidates must submit a CV and a completed CUPE 3902 Unit 3 application form in one PDF file to:

Melissa Szopa, Administrative Coordinator, Academic
Faculty of Information 
140 St. George Street, University of Toronto

This job is posted in accordance with the CUPE 3902 Unit 3 Collective Agreement. Preference is given to qualified individuals who have advanced to the ranks of Sessional Lecturer II and Sessional Lecturer III, in accordance with Article 14:12.

Additional Information:

Company Name: University of Toronto
Job Title: Sessional Lecturer, INF2404H - Explainability & Fairness for Responsible Machine Learning