Assistant Professor – Electrical and Computer Engineering (Canada Impact+ Emerging Leader)

About the Canada Impact+ Emerging Leaders Program

The Canada Impact+ Emerging Leaders program is a one-time initiative designed to support Canadian institutions in attracting internationally based Early Career Researchers to Canada.

Emerging Leaders will receive:

• Research funding of CAD $100,000 per year for six years, with the possibility of an additional six-year extension.
• Institutional support to advance transformative research.
• Opportunities to build partnerships across sectors and international borders.
• Support for translating research into applications and impacts that benefit Canada and the global community.

Position Description

The Edward S. Rogers Sr. Department of Electrical and Computer Engineering (ECE) at the University of Toronto invites applications for a full-time tenure stream Assistant Professor position.

The successful candidate will conduct transformational research aligned with one or more of the following Canadian strategic priority areas:

• Advanced digital technologies (Artificial Intelligence, Quantum Technologies, Cybersecurity)
• Environment, Climate Resilience, and the Arctic

The nominee's research must clearly align with one or more of these strategic priority areas.

The appointment is expected to begin on 1 July 2027.

Eligibility

Emerging Leaders Awards are intended for exceptional early career researchers.

Applicants must:

• Be within five years (minus eligible career delays) of the start date of their first independent research appointment.
• Eligible delays include maternity, parental, medical, and bereavement leave.
• Eligible delays are credited as twice the amount of leave taken.
• Professional leave (such as sabbatical, training, or administrative appointments) is not considered an eligible delay.

Research Areas

The Department seeks candidates conducting research broadly within Electrical and Computer Engineering, with particular interest in:

• AI for Science
• AI for Engineering
• Artificial Intelligence across all Electrical and Computer Engineering disciplines

Particular interest will be given to candidates with expertise in AI for Good, including responsible AI applications addressing meaningful societal challenges such as:

• Ecology
• Sustainability
• Environmental protection

The successful candidate is expected to collaborate with initiatives including the Impact+ Research Chair in AI for Ecology, Biodiversity, and Conservation and contribute to research translation and real-world impact.

Requirements and Qualifications

Applicants must have:

• A PhD in Electrical and Computer Engineering, Computer Science, or a closely related discipline.
• A demonstrated record of excellence in research and teaching.
• An established independent research program.
• Strong potential for impactful collaborative research.

Applicants must demonstrate internationally competitive research excellence appropriate to their career stage through evidence such as publications in leading journals, a strong research pipeline, presentations at major conferences, awards and recognitions, and strong letters of recommendation from distinguished referees.

Teaching Qualifications

Applicants must demonstrate excellence in undergraduate and graduate teaching through a teaching dossier that may include a teaching statement, previous teaching experience, workshops or seminars delivered, student mentorship, conference presentations or posters, teaching assistant or course instructor experience, sample course syllabi, teaching evaluations, and other evidence of outstanding teaching performance.

Professional or lived experiences that enhance the ability to teach a diverse student population are highly valued.

Responsibilities

The successful candidate will establish an innovative, competitive, and independently funded research program; conduct transformational and translational research; build productive partnerships with academic, industry, and other collaborators; teach undergraduate and graduate courses within the Department of Electrical and Computer Engineering; and contribute to departmental academic service.

About the Department

The successful candidate will join a vibrant intellectual community of internationally recognized scholars at Canada's leading university. The University of Toronto offers extensive interdisciplinary research opportunities, collaborative teaching and research environments, a highly diverse student population, and strong institutional support for innovative scholarship. The Greater Toronto Area provides a culturally diverse environment and one of the highest standards of living in the world.

Salary

Salary will be commensurate with qualifications and experience. The upper end of the salary range exceeds CAD $200,000 per annum. Additional negotiations may be considered for exceptionally qualified candidates.

Application Materials

Applicants must submit a cover letter describing research agenda and specific strategic priority stream(s) aligned with the applicant's research; current Curriculum Vitae (CV); teaching dossier including teaching statement, sample course materials, and teaching evaluations; up to three representative publications; research statement; Equity, Diversity, and Inclusion (EDI) statement; and names and contact information of three referees.

References

The University of Toronto's recruitment system will automatically request reference letters from referees within 48 hours of application submission. Applicants are responsible for ensuring that reference letters are submitted before the closing date. Applications without reference letters will not be considered.

Application Process

All application materials, including reference letters, must be received by 15 October 2026. Only complete applications submitted through the University of Toronto's online application system will be considered.

Additional Information

Expatriate Canadians wishing to relocate to Canada are encouraged to apply. The University recognizes that career interruptions may form part of an excellent academic record. Search committee members have been instructed to carefully consider eligible career interruptions during the assessment process.

Enquiries

For questions regarding this position, please contact: Edward S. Rogers Sr. Department of Electrical and Computer Engineering, Email: search2027@ece.utoronto.ca

All application materials must be submitted through the University of Toronto's online application system.

Diversity Statement

The University of Toronto embraces diversity and is committed to building an inclusive academic community. Applications are strongly encouraged from Indigenous Peoples, Black and racialized persons, Women, Persons with disabilities, and People of diverse sexual and gender identities.

Accessibility Statement

The University of Toronto is committed to providing an equitable and accessible recruitment process in accordance with the Accessibility for Ontarians with Disabilities Act (AODA). Applicants requiring accommodations during the recruitment process should contact Anupreet Sandhu, Academic Recruitment Specialist, Email: academic.jobs@utoronto.ca.

Applications Close

15 October 2026, 11:59 PM ET