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The Student Research Assistant will conduct literature reviews and environmental scans to support the integration of AI into undergraduate engineering programs. They will also collaborate with instructors to develop AI-focused modules, course plans, and academic content.
Please refer to the How to Apply for a Job (for External Candidates) job aid for instructions on how to apply. If you are an active McGill employee (ie: currently in an active contract or position at McGill University), do not apply through this Career Site. Login to your McGill Workday account and apply to this posting using the Find Jobs report (type Find Jobs in the search bar). The Faculty of Engineering, Dean’s Office is seeking a Student Research Assistant to assist the Integrating AI to Reshape Engineering Pedagogy project (funded through Entente Canada-Quebec). Primary Responsibilities Conduct a comprehensive literature review and environmental scans on best practices for integrating AI content into undergraduate engineering programs. With the Research project team, review McGill engineering programs and identify where AI literacy and applied AI knowledge and skills should be embedded. Work with instructors to create AI modules and projects for engineering courses. With the project team, support the development of learning outcomes, a course plan, and draft instructional content for a Fundamental AI in Engineering course. Contribute to the development of conference presentations and academic articles. Participate in an AI in engineering education working group. Attend weekly 30-minute team meetings. Job Requirements/Minimum Education/ Experience Possesses subject matter expertise acquired through undergraduate studies in various Engineering programs at McGill. Active McGill student in various Engineering programs at McGill. Other Qualifying Skills and/or Abilities Students applying should indicate knowledge/experience in any of the following areas: Engineering education Applied artificial intelligence or generative AI Organization and time management skills Effective communication skills Ability to interact with instructors Familiarity with Microsoft 365 tools Familiarity with web conferencing technology (e.g., Microsoft Teams, Zoom) 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. Hourly Salary: $22.00 Hours per Week: 10 (Part time) Location: Macdonald Eng. Bldg. Supervisor: Academic Associate Position Start Date: 2026-10-03 Position End Date: 2027-05-31 Deadline to Apply: 2026-10-02 This position is covered by the Association of McGill University Research Employees (AMURE) collective agreement. McGill University hires on the basis of merit and is strongly committed to equity and diversity within its community. We welcome 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 productively engage with diverse communities. McGill implements an employment equity program and encourages members of designated groups to self-identify. Persons with disabilities who anticipate needing accommodations for any part of the application process may contact, in confidence, accessibilityrequest.hr@mcgill.ca.
The Student Research Assistant will conduct literature reviews and environmental scans to support the integration of AI into undergraduate engineering programs. They will also collaborate with instructors to develop AI-focused modules, course plans, and academic content.
Candidates must be active McGill University students enrolled in an Engineering program. Applicants should possess subject matter expertise in engineering and familiarity with AI technologies and educational tools.
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