Fully Funded PhD Positions in Large Language Models, NLP, and Machine Learning at Queen's University Queen's University in Canada

Multiple fully funded PhD positions are available in Large Language Models (LLMs), Natural Language Processing (NLP), and Machine Learning at the research group of Associate Professor Xiaodan Zhu in the Department of Electrical and Computer Engineering at Queen’s University, Canada. The group is affiliated with the Vector Institute for AI, offering students access to a vibrant research community and cutting-edge resources.

Research areas include large language models, NLP, machine learning, and artificial intelligence, with opportunities to collaborate on innovative projects in these rapidly advancing fields. Queen’s University is a leading Canadian public research university, renowned for its excellence in engineering, science, and business, and is located in Kingston, Ontario, a city situated between Toronto, Montreal, and Ottawa—major centers for AI research.

The PhD program is fully funded, covering tuition and providing a stipend (exact amount not specified). Students benefit from modern office space, advanced research facilities, and a collaborative environment. The department is home to multiple research labs, including the Queen's Centre for Energy and Power Electronics Research and the Lightwave Systems Research Laboratory.

Applicants should have a strong background in computer science, electrical engineering, or related fields, with preferred experience in LLMs, NLP, and ML. To apply, send your CV and transcripts to [email protected] and complete the application via the provided link. The preferred deadline is March 15, 2026, but applications will be considered until positions are filled.

Queen’s University is committed to diversity, equity, and inclusion, and welcomes students from leading universities worldwide. Graduates from the group have gone on to work at top research and industrial organizations in Canada, the US, and internationally.