Queen's University in Kingston, Ontario, Canada, is offering multiple fully funded PhD positions in the areas of Large Language Models (LLMs), Natural Language Processing (NLP), and Machine Learning. These positions are based in the Department of Electrical and Computer Engineering and are supervised by Associate Professor Xiaodan Zhu, who is also a Mitchell Professor at the Ingenuity Labs Research Institute and a Faculty Member at the Vector Institute for Artificial Intelligence. The research group is internationally recognized for its work in NLP, machine learning, and artificial intelligence, with a strong record of publications and competitive research funding.

The research topics include the development and analysis of LLMs, advanced NLP techniques, and innovative machine learning methods. The group has received support from NSERC Discovery Grants, Discovery Accelerator Supplement, DND Supplement, and other prestigious awards. Queen's University is known for its beautiful campus by Lake Ontario, its diverse and inclusive research environment, and its strong connections to major AI hubs such as Toronto, Montreal, and Ottawa.

Applicants should have a solid background in computer science, electrical engineering, or related fields, with experience or strong interest in LLMs, NLP, or machine learning. To apply, candidates should send their CV and transcripts to the group recruiting email and may also apply through the official application portal. The preferred deadline is March 15, 2026, but applications are reviewed on a rolling basis until all positions are filled. The program offers comprehensive funding, including tuition and stipend, and opportunities for additional scholarships and fellowships. Graduates from the group have gone on to top academic and industry positions worldwide.

For more information, visit the group webpage or the department's graduate studies page. This is an excellent opportunity for students interested in cutting-edge research in artificial intelligence, LLMs, and machine learning at one of Canada's leading research universities.