Sessional Lecturer, INF2179H - Machine Learning with Applications in Python | |
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Workplace | Toronto, Ontario, Canada |
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University of Toronto
Faculty of Information Sessional Lecturer Summer Term 2025 - Session Y (May - August) INF2179H - Machine Learning with Applications in Python Course Description: Machine learning has recently become the dominant field in AI research and constitutes the main part of the tools applied in industry-based AI positions. Business analysts, data scientists and AI engineers are required to know machine learning at different levels. The course will give a broad high-level overview of state-of-the-art machine learning methodologies. We shall focus on the application of these techniques to real-world data using the most advanced tools available for Python. The techniques will include: linear regression, basic techniques for classification, advanced regression and classification methods, and unsupervised learning. INF2179H - Machine Learning with Applications in Python Estimate of the course enrolment: 35 Estimate of TA Support: None anticipated. Class Schedule: TBD. You are required to be located in geographical proximity to the applicable University premises in order to attend and perform your duties on University premises as of the Starting Date. Sessional dates of appointment: May 1, 2025 - August 31, 2025 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 Please note that should rates stipulated in the collective agreement vary from rates stated in this posting, the rates stated in the collective agreement shall prevail. Qualifications: Preferably candidates will have a completed, or nearly completed, PhD degree in an area related to the course or a Master’s degree plus extensive professional experience in an area related to the course. Teaching experience is preferred. Brief description of duties: Preparing course materials; delivering course content (e.g., seminars, lectures, and labs); developing and administering course assignments, tests & exams; grading; holding regular office hours. Application Deadline: February 18, 2025 Application Process: Applicants must submit a CV and a completed CUPE 3902 Unit 3 application form in one pdf file to the attention of: Melissa Szopa, Administrative Coordinator, Academic Faculty of Information, 140 St. George Street University of Toronto sessional.ischoolutoronto.ca This job is posted in accordance with the CUPE 3902 Unit 3 Collective Agreement. Preference in hiring is given to qualified individuals advanced to the rank of Sessional Lecturer II and Sessional Lecturer III in accordance with Article 14:12. All qualified candidates are encouraged to apply; however, Canadians and permanent residents will be given priority. Diversity StatementThe University of Toronto embraces Diversity and is building a culture of belonging that increases our capacity to effectively address and serve the interests of our global community. We strongly encourage applications from Indigenous Peoples, Black and racialized persons, women, persons with disabilities, and people of diverse sexual and gender identities. We value applicants who have demonstrated a commitment to equity, diversity and inclusion and recognize that diverse perspectives, experiences, and expertise are essential to strengthening 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 ?url=http%3A%2F%2Fuoft.me%2FUP&module=jobs&id=53353" target="_blank" rel="nofollow">?url=http%3A%2F%2Fuoft.me%2FUP&module=jobs&id=53353" target="_blank" rel="nofollow">http://uoft.me/UP . Accessibility StatementThe 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.careersutoronto.ca . Job Segment: Training, Developer, Learning, Education, Research, Technology, Human Resources | |
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