Description
The Edward S. Rogers Sr. Department of Electrical and Computer Engineering (ECE) in the Faculty of Applied Science & Engineering at the University of Toronto invites applications for a full-time teaching stream position in the area of Artificial Intelligence and Deep Learning. The appointment will be at the rank of Assistant Professor, Teaching Stream, with an anticipated start date of July 1, 2026.
Applicants must have a PhD degree in Electrical and Computer Engineering, or a related field by the time of appointment, or shortly thereafter with a demonstrated record of excellence in teaching. We seek candidates whose teaching interests complement and strengthen our existing departmental strengths, and address the needs of a growing professional masters degree program. Candidates must have teaching experience in a degree-granting program including lecture preparation and delivery, curriculum development, and development of online material/lectures. Additionally, candidates must possess a demonstrated commitment to excellent pedagogical inquiry and a demonstrated interest in teaching-related scholarly activities at the graduate-level.
We seek candidates with teaching skills and expertise in the development and deployment of deep learning-based software and applications. This includes knowledge of the fundamental theory of deep learning along with significant experience in the development of software applications that employ neural network and deep learning approaches to computer vision, natural language processing, and the use of reinforcement learning. The candidate should have experience in the deployment of industrial applications of deep learning. Graduate-level subjects to be taught include core deep learning/software, machine learning in production, introduction to reinforcement learning and data science methods/quantitative analysis. Experience with biomedical applications of deep learning would be an asset. Candidates are expected to be able to teach courses in existing curricula and to create some new courses, and to demonstrate their ability to teach. Eligibility and willingness to register as a Professional Engineer in Ontario is highly desirable.
Evidence of excellence in teaching and a commitment to excellent pedagogical inquiry can be demonstrated by previous teaching experience and accomplishments, the teaching dossier submitted as part of the application (with required materials outlined below), as well as strong letters of reference from referees of high standing familiar with relevant aspects of the applicant’s work.
Equity, diversity, and inclusion (EDI) are essential to academic excellence and to the success of our department. Evidence of a commitment to EDI must be demonstrated by a statement, submitted with the application, describing teaching that incorporates a focus on underrepresented communities, the development of inclusive pedagogies, views, experiences and/or plans furthering EDI via student mentorship, pedagogy, outreach, and/or other activities.
Salary will be commensurate with qualifications and experience.
The Faculty of Applied Science and Engineering offers opportunities for collaborative and interdisciplinary research and teaching, and the excitement of working with a diverse student population. Established in 1873, the Faculty of Engineering has earned an international reputation for excellence in education and knowledge creation and is known as a forward-thinking resource to address global concerns. As the economic and intellectual hub of Canada, Toronto provides access to leading policy and decision makers at all levels, and is a vibrant, cosmopolitan and safe city. For more information about the Faculty of Applied Science and Engineering, please visit: https://engineering.utoronto.ca.
The Edward S. Rogers Sr. Department of Electrical and Computer Engineering at the University of Toronto ranks among the best in North America. It attracts outstanding students, has excellent facilities, and is ideally located in the middle of a vibrant, artistic, diverse and cosmopolitan city. Additional information may be found at https://www.ece.utoronto.ca.
All qualified candidates are invited to apply online by clicking the link below. Applicants must submit a cover letter outlining their suitability to teach at the graduate level; a current curriculum vitae; a teaching dossier including a summary of previous teaching experience and accomplishments, a teaching statement, sample course syllabi and materials, and teaching evaluations; and an EDI statement (as noted above).
Applicants must provide the name and contact information of three references. The University of Toronto’s recruiting tool will automatically solicit and collect letters of reference from each referee within 48 hours after an application is submitted. Applicants remain responsible for ensuring that referees submit recent letters (on letterhead, dated and signed) by the closing date. At least one reference letter must primarily address the candidate’s teaching. Applications without three reference letters will not be considered; it is the applicant’s responsibility to make sure referees send us their letters while the position remains open. More details on the automatic reference letter collection, including timelines, are available in the candidate FAQ.
Submission guidelines can be found at https://uoft.me/how-to-apply. Your CV and cover letter should be uploaded into the dedicated fields. Please combine additional application materials into one or two files in PDF/MS Word format. Applications submitted in any other way will not be considered. If you have any questions about this position, please contact the ECE department at eceoffice@ece.utoronto.ca
All application materials, including recent reference letters, must be received by December 3, 2025.
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 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 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.
Click here to apply: https://jobs.utoronto.ca/job/Toronto-Assistant-Professor%2C-Teaching-Stream-Artificial-Intelligence-and-Deep-Learning-ON/596957917/