Polytechnique Montréal
1 month ago
PhD and MSc Positions in AI for Advanced Manufacturing Optimization (Aircraft Engines) Polytechnique Montréal in Canada
Degree Level
Master's, PhD
Field of study
Computer Science
Funding
Full funding availableDeadline
December 31, 2026Country
Canada
University
Polytechnique Montréal

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About this position
Polytechnique Montréal and University of Waterloo are jointly offering graduate research positions (PhD and MSc) focused on the development of Artificial Intelligence for Advanced Manufacturing Optimization, specifically targeting next-generation aircraft engines. This opportunity is in collaboration with the industrial partner Safran, providing candidates with valuable exposure to the aerospace sector and hands-on industrial experience.
The research will be conducted at two of Canada's top engineering institutions: Polytechnique Montréal, ranked #109 in engineering globally, and University of Waterloo, ranked #38 in engineering. Both universities are recognized for their comprehensive research programs and strong industry connections.
Applicants should possess a robust background in programming, AI, and mathematics, with proven experience in computer programming. Preference will be given to candidates with a background in mechanical engineering and interests in materials science and solid mechanics. Strong written and verbal communication skills are essential, as is the ability to work independently and meet industrial deadlines.
The position offers a unique blend of academic research and industrial collaboration, making it ideal for students interested in advanced manufacturing, aerospace engineering, and AI-driven optimization. The Advanced Manufacturing and Mechanical Testing Laboratory features cutting-edge technologies such as binder jetting, LPBF, forging, and shot peening, supporting innovative research in the field.
To apply, candidates should send their CV and relevant documents to [email protected], clearly outlining their qualifications and research interests related to AI, manufacturing, and aircraft engines.
Funding details
Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.
How to apply
Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.
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