Canadian University Offers Fully-Funded Master’s and PhD Opportunities in AI Research

Queen's University in Canada is offering fully-funded Master's and PhD research opportunities in AI, machine learning, and computational materials science. International students can pursue advanced research at this leading public university under the Stephen J. R. Smith Faculty of Engineering and Applied Science. Associate Professor Ali Etemad and Assistant Professor Meng Li lead research groups in artificial intelligence and advanced computational engineering.

The university provides financial support, including a minimum of CAD 25,000 annually for eligible PhD students during the 2026-27 academic year. Research areas include AI and machine learning, AI-Enabled atomistic materials modeling, and Master's opportunities in AI-Enabled Atomistic Materials Modeling. Candidates must meet academic and research requirements, possess relevant degrees, and demonstrate proficiency in programming languages like Python and machine learning frameworks.

English language proficiency tests, such as IELTS, PTE, CAEL, Duolingo, and Cambridge, are required. Interested candidates should review the research opportunities on the Smith Engineering graduate positions page, contact relevant supervisors, and follow the university's formal graduate admission procedure.