Sessional Lecturer – KIN8247H: Artificial Intelligence in Sport Analytics

Date Posted: 04/10/2025

Req ID: 42481

Faculty/Division: Faculty of Kinesiology & Physical Education

Department: Faculty of Kinesiology & Physical Education

Campus: St. George (Downtown Toronto)

Description:

Course Code: KIN8247H: Artificial Intelligence in Sport Analytics

Course description: This course provides a hands-on exploration of artificial intelligence (AI) and machine learning (ML) through practical case studies. Students will analyze real-world scenarios to understand how AI and ML are applied in a number of ways including, as a few examples, sport performance optimization, athlete services, injury prevention and rehabilitation, fan and community engagement, and business and financial decision making. This course emphasizes the use of cutting-edge AI tools and data-driven techniques applied in sport settings. By engaging with case studies and industry insights, this experience-based approach ensures students gain firsthand knowledge of how AI is transforming sport analytics and prepares them for careers in this rapidly growing field.

Estimated TA support:

Estimated course enrolment: 30

Class schedule: TBD

Sessional dates of appointment: September 1, 2025 – December 31, 2025

Appointment percentage: 0.5 FCE

Salary:

Sessional Lecturer I – $9,457.90

Sessional Lecturer I – Long Term – $9,930.79

Sessional Lecturer II – $10,121.77

Sessional Lecturer II – Long Term – $10,326.62

Sessional Lecturer III – $10,362.76

Sessional Lecturer III – Long Term – $10,570.02

Minimum Qualifications: PhD preferred in a relevant area, or combination of relevant expertise and experience. Teaching experience in college or university setting is an asset.

Description of duties:

All duties associated with the design and teaching of a university credit course, including preparation and delivery of course content; development, administration, and marking of assignments, tests, and exams; calculation and submission of grades; holding regular office hours; supervising TAs assigned to the course, if applicable. This course will be taught in person.

Application Procedure: Please submit your Cover Letter and CV via the online form.

Closing Date: 05/05/2025, 11:59PM EDT

This job is posted in accordance with the CUPE 3902 Unit 3 Collective Agreement.

It is understood that some announcements of vacancies are tentative, pending final course determinations and enrolment. Should rates stipulated in the collective agreement vary from rates stated in this posting, the rates stated in the collective agreement shall prevail.

Preference in hiring is given to qualified individuals advanced to the rank of Sessional Lecturer II or Sessional Lecturer III in accordance with Article 14:12 of the CUPE 3902 Unit 3 collective agreement.

Please note: Undergraduate or graduate students and postdoctoral fellows of the University of Toronto are covered by the CUPE 3902 Unit 1 collective agreement rather than the Unit 3 collective agreement, and should not apply for positions posted under the Unit 3 collective agreement.

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