Course Lecturer - EXSU Artificial Intelligence in Medicine

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The Department of Surgery is inviting applications to teach the course EXSU 500 Artificial Intelligence in Medicine for Fall 2025 semester.

Teaching Qualification Requirements:

Education:

PhD in Computing and Information Science

Experience:

Experience conducting and publishing research in Artificial Intelligence/Machine Learning/Deep Learning with application to Medical/Clinical problems.

History of consistently publishing manuscripts relevant to the field in high quality peer reviewed journals.

An asset would be experiencing undertaking research collaborations with medical specialists such as surgeons, clinicians, pathologists.

Before applying, please note that to work at McGill University, you must be both authorized to work in Canada and willing to work in the province of Quebec at the campus where the position is based / located.

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.

Hiring Unit:

Department of Surgery

Course Title:

Artificial Intelligence in Medicine

Subject Code:

EXSU 500

Location:

Montreal General Hospital

Schedule:

Monday 5:00pm - 6:30pm

Deadline to Apply:

August 15, 2025

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, .

All qualified applicants are encouraged to apply; however, in accordance with Canadian immigration requirements, Canadians and permanent residents will be given priority.

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