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Tenure-Track Faculty Position in Applications of Artificial Intelligence in
Engineering, Department of Electrical and Computer Engineering, McGill
University The Department of Electrical and Computer Engineering at McGill
University, invites applications for a tenure-track appointment at the rank of
Assistant Professor in Applications of Artificial Intelligence in Engineering.
Exceptional candidates at other ranks will also be considered. McGill University
is among the top research-intensive academic institutions in Canada and is
consistently ranked in the top universities worldwide. The successful candidate
will play leading roles in maintaining McGill’s international reputation of
excellence in research, teaching, and service. We are interested in candidates
that apply machine learning and data-driven methods to applications in
engineering, broadly in areas related to computer, electrical and software
engineering, ideally in the areas of Power Systems or Communications. Some
examples of areas of interest include, but are not limited to: Power and Energy
Systems, Static and Electro-mechanical Energy Conversion Communications and
Signal Processing Computer Vision, Medical Imaging and Multi-modal Understanding
Hardware Architecture for AI, Edge Devices and Embedded Systems Secure, Reliable
and Ethical AI, and AI in Public Policy Control Systems and Robotics Computer
Graphics, Human-computer Interaction and Haptics The expected start date is
August 1, 2026. The successful candidate will be expected to build an
internationally-competitive group that conducts high-quality research, securing
internal and external funding in support of their equipment and research team
building needs. Salary will be commensurate with qualifications and experience.
The successful candidate may be nominated to become affiliated to Mila (Quebec
AI Institute) or IVADO and the outstanding candidate with appropriate
specialization(s) may be eligible for nomination to a CIFAR Chair in AI, pending
availability. The Department is committed to excellence in teaching in its
undergraduate and graduate programs in Electrical, Computer and Software
Engineering, and values service contributions of its Faculty members to the
University, the profession, and society at large. Candidates should have or soon
expect to complete a Ph.D., preferably with an undergraduate degree in
electrical, computer or software engineering. Evidence of outstanding research
achievements is indispensable, particularly in the areas of applied machine
learning, reinforcement learning, artificial intelligence, or applications of
these methods in other fields – this can be demonstrated, in part, with a strong
publication record in top-tier peer-reviewed venues. Preferred qualifications
include dedication to an environment that supports diversity of population and
perspectives; as our students come from a wide range of disciplines, cultures,
and backgrounds, we invite candidates to address in their application their
ability to teach, supervise, and mentor in this context. The successful
candidate will show a strong commitment to the mission of the University,
through outstanding activities in the areas of research, teaching and service.
Membership or eligibility for membership in a Canadian professional engineering
association is required. Candidates should submit a complete application
package, consisting of: A cover letter A curriculum vitae including a list of
publications A research statement A teaching statement A statement on equity,
diversity and inclusion The names and email addresses of three references
Applications will be reviewed beginning January 19, 2026 and will continue until
the position is filled. Depending on feasibility, interviews may be conducted
either in person or remotely. Application materials should be submitted using
this platform. For more information about the Department of Electrical and
Computer Engineering, please visit our website at: mcgill.ca/ece. Inquiries may
be sent to the Chair of the Department, Warren Gross, at chair.ece@mcgill.ca
Montreal is a cosmopolitan city in the heart of Quebec and home the largest
population of university institutions and students in Canada and tied for first
in North America. Montreal is consistently ranked at the top of the best cities
worldwide for post-secondary studies. The city is home to a very active academic
and industrial community, including university-led machine learning institutes
such as the Mila – The Quebec Artificial Intelligence Institute – which receives
considerable government funding. Moreover, members from many industry-led
research groups (Google, Meta, Microsoft, Samsung, ServiceNow, Borealis, Thales)
work closely with faculty in the Department of Electrical and Computer
Engineering. McGill University is a top-tier research-intensive academic
institution in Canada and has consistently been ranked among the top
universities worldwide across all reputable ranking surveys. Its collegial
environment with opportunities for interaction with world-class researchers
spans all applied and theoretical technical fields. McGill University is an
English-language university where most teaching and research activities are
conducted in the English language, thereby requiring English communication both
verbally and in writing. McGill University is committed to equity and diversity
within its community and values academic rigour and excellence. We welcome and
encourage applications from racialized persons/visible minorities, women,
Indigenous persons, persons with disabilities, ethnic minorities, and persons of
minority sexual orientations and gender identities, as well as from all
qualified candidates with the skills and knowledge to engage productively with
diverse communities. At McGill, research that reflects diverse intellectual
traditions, methodologies, and modes of dissemination and translation is valued
and encouraged. Candidates are invited to demonstrate their research impact both
within and across academic disciplines and in other sectors, such as government,
communities, or industry. McGill further recognizes and fairly considers the
impact of leaves (e.g., family care or health-related) that may contribute to
career interruptions or slowdowns. Candidates are encouraged to signal any leave
that affected productivity, or that may have had an effect on their career path.
This information will be considered to ensure the equitable assessment of the
candidate’s record. McGill implements an employment equity program and
encourages members of designated equity groups to self-identify. It further
seeks to ensure the equitable treatment and full inclusion of persons with
disabilities by striving for the implementation of universal design principles
transversally, across all facets of the University community, and through
accommodation policies and procedures. Persons with disabilities who anticipate
needing accommodations for any part of the application process may contact, in
confidence, accessibilityrequest.hr@mcgill.ca. All qualified applicants are
encouraged to apply; however, in accordance with Canadian immigration
requirements, Canadians and permanent residents will be given priority. Located
in one of the world’s great multicultural and multilingual cities, McGill
University is internationally recognized for its excellence as a leading
institution of higher education and research. For nearly 200 years, through the
work of dedicated people, McGill has been breaking ground in diverse fields and
contributing solutions to some of the world’s most significant issues.
McGillians are proud to be part of a community that is both global and local,
inspired by challenge and committed to shaping a better future. McGill received
a Platinum STARS rating in sustainability, is among Canada’s greenest employers,
and is a top Montreal Employer. Grandescunt Aucta Labore. By work, all things
increase and grow. Find a sense of purpose. Develop your future. Join us today.
