Sessional Lecturer - APS360H1 S Applied Fundamentals of Deep LearningDate Posted: 10/25/2024
Req ID: 40398
Faculty/Division: Faculty of Applied Science & Engineering
Department: Cross-Disciplinary Programs Office
Campus: St. George (Downtown Toronto)
Description: Course title: APS360H1 S – Applied Fundamentals of Deep Learning
Course description: A basic introduction to the history, technology, programming and applications of the fast evolving field of deep learning. Topics to be covered may include neural networks, autoencoders/decoders, recurrent neural networks, natural language processing, and generative adversarial networks. Special attention will be paid to fairness and ethics issues surrounding machine learning. An applied approach will be taken, where students get hands-on exposure to the covered techniques through the use of state-of-the-art machine learning software frameworks.
Estimated enrolment: 1 section with enrolment of 100
Course Schedule: Candidates must be available for both sections as scheduled.
Sessional dates of appointment: January 1, 2025 - April 30, 2025
Stipend: $16,710 (inclusive of vacation pay) per section.
Qualifications: Ph.D. or equivalent professional experience in the area of AI and Machine Learning; P.Eng. preferred. Knowledge of, and experience with deep neural networks and their application to computer vision and other pattern recognition problems is required. Knowledge of forward-looking AI/ML concepts, such as reinforcement learning and recurrent neural networks, preferred. Hands-on experience with PyTorch highly desirable. Familiarity with fairness and ethics issues surrounding AI. Previous experience teaching a similar course is highly desirable. Familiarity with engineering concepts and engineering education is an asset.
Duties: The lecturer will prepare for and deliver 13 weeks of lectures and tutorials; set assignments and term work assessments and final assessment as appropriate; collate and submit marks; handle petitions after final marks have been submitted; communicate with students both inside and outside of class times. Preparation of a deferred examination may also be required. Delivery of this course is intended to be in-person but may be online or a hybrid as dictated by Public Health guidelines.
Closing Date: November 15, 2024, 11:59 p.m.
Those interested should submit a cover letter, current CV detailing teaching experience, and CUPE 3902 Unit 3 application form by email to:
Cross-Disciplinary Programs Office
Faculty of Applied Science and Engineering
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 or Sessional Lecturer III in accordance with Article 14:12 of the CUPE 3902 Unit 3 collective agreement. 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.
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.
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