Canada’s Queen’s University has announced funded Master’s and PhD research opportunities in artificial intelligence, machine learning and advanced materials science. The initiative offers international students a chance to pursue higher education while receiving financial assistance.
The opportunities, highlighted on November 6, 2026, are available through the university’s Stephen J. R. Smith Faculty of Engineering and Applied Science. Selected students will participate in advanced research involving deep learning, computational modelling and emerging energy technologies.
Who Can Apply for the Canadian Scholarships?
Applicants interested in artificial intelligence and machine learning should have academic backgrounds in computer science, electrical engineering, mathematics or related disciplines. Strong programming skills, particularly in Python, TensorFlow or PyTorch, may improve their chances of selection.
Candidates interested in computational materials research should possess relevant qualifications in engineering, physics, chemistry or materials science. Previous research experience and technical knowledge will also strengthen applications.
How Much Financial Support Is Available?
Queen’s University guarantees eligible full-time PhD students a minimum annual funding package of CAD 25,000 for the 2026–27 academic year, generally covering the first four years of doctoral study.
Research Master’s students may also receive financial support through scholarships, teaching assistantships and research positions. However, individual funding packages and tuition arrangements should be confirmed before accepting admission.
How Can International Students Apply?
Interested candidates should explore research opportunities supervised by Associate Professor Ali Etemad and Assistant Professor Meng Li.
Applicants must prepare academic transcripts, recommendation letters, an updated CV and relevant English-language test results.
Candidates can review the official Queen’s University engineering website before contacting potential supervisors and completing the graduate admission process.
The opportunities provide a pathway for aspiring researchers to gain international academic experience in rapidly developing technological fields.
