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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.
Sessional dates of appointment: September 1, 2025 - December 31, 2025
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.
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.
All qualified candidates are encouraged to apply; however, Canadians and permanent residents will be given priority.
Diversity Statement
The University of Toronto embraces Diversity and is building aculture of belonging that increases our capacity to effectivelyaddress and serve the interests of our global community. Westrongly encourage applications from Indigenous Peoples,Black and racialized persons, women, persons withdisabilities, and people of diverse sexual and gender identities.We value applicants who have demonstrated a commitment toequity, diversity and inclusion and recognize that diverseperspectives, experiences, and expertise are essential tostrengthening our academic mission.
As part of your application, you will be asked to complete a brief Diversity Survey. This survey is voluntary. Any information directly related to you is confidential and cannot be accessed by search committees or human resources staff. Results will be aggregated for institutional planning purposes. For more information, please see http://uoft.me/UP .
Accessibility Statement
The University strives to be an equitable and inclusive community, and proactively seeks to increase diversity among its community members. Our values regarding equity and diversity are linked with our unwavering commitment to excellence in the pursuit of our academic mission.
The University is committed to the principles of the Accessibility for Ontarians with Disabilities Act (AODA). As such, we strive to make our recruitment, assessment and selection processes as accessible as possible and provide accommodations as required for applicants with disabilities.
If you require any accommodations at any point during the application and hiring process, please contact uoft.careers@utoronto.ca .
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