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Assistant Professor - Computer Engineering

University of Toronto
Toronto
CAD 80,000 - 120,000
Job description

The Edward S. Rogers Sr. Department of Electrical and Computer Engineering (ECE) in the Faculty of Applied Science and Engineering at the University of Toronto invites applications for a full-time tenure stream position in Computer Engineering. The appointment will be at the rank of Assistant Professor, with an anticipated start date of January 1, 2026.

Candidates must have earned a Ph.D. degree in Electrical and Computer Engineering, Computer Science, or a related area by the time of appointment, or shortly thereafter, with a demonstrated record of excellence in research and teaching. We seek candidates whose research and teaching interests complement and enhance our existing departmental strengths. Eligibility and willingness to register as a Professional Engineer in Ontario is highly desirable.

We seek candidates conducting research in Computer Engineering, with a focus on Software Systems and Cybersecurity. We are especially interested in candidates who have expertise in operating systems, distributed systems, cloud computing, database systems, systems security, network security, blockchain systems, privacy, and cryptography. The successful candidate will join a vibrant and collaborative academic community dedicated to excellence in research, teaching, and service.

The successful candidate will be expected to pursue innovative research at the highest international level; to establish a strong, externally funded independent research program; and to contribute to the enrichment of both undergraduate and graduate programs in the department.

Candidates must provide evidence of research excellence which can be demonstrated by a record of contributions and publications in leading journals or conferences, or forthcoming publications meeting high international standards, the submitted research statement and representative publications, presentations at significant conferences, awards and accolades, and strong endorsements by referees of top international stature.

Evidence of excellence in teaching will be demonstrated by teaching accomplishments, and the teaching dossier, including a teaching statement, sample course materials, and teaching evaluations or other evidence of superior performance in teaching-related activities submitted as part of the application, as well as strong letters of reference. Other teaching-related activities can include performance as a teaching assistant or course instructor, experience leading successful workshops or seminars, student mentorship, or excellent conference presentations or posters.

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 research or teaching that incorporates a focus on underrepresented communities, the development of inclusive pedagogies, views, experiences and/or plans furthering EDI via teaching mentorship, outreach, and/or other activities.

Salary will be commensurate with qualifications and experience, and is competitive with our North American peers.

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; a current curriculum vitae; a research statement outlining current and future research interests; up to three representative publications; an EDI statement (as noted above); and a teaching dossier including a teaching statement, sample course materials, and teaching evaluations or evidence of superior performance in other teaching-related activities as listed 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 the day after an application is submitted. Applicants remain responsible for ensuring that referees submit recent letters (on letterhead, dated and signed) by the closing date. 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 search2024@ece.utoronto.ca.

To be considered, all application materials, including recent reference letters, must be received by June 9, 2025.

Click here to apply: https://jobs.utoronto.ca/job/Toronto-Assistant-Professor-Computer-Engineering-ON/591996817/

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.

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* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.

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