Imran Sarwar
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Fully Funded PhD Positions in Large Language Models, NLP, and Machine Learning at Queen's University Canada Queen's University at Kingston in Canada
Degree Level
PhD
Field of study
Computer Science
Funding
Multiple fully funded PhD positions are available. Funding covers tuition and provides a stipend, as the positions are described as fully funded. No specific stipend amount is mentioned.
Deadline
Mar 15, 2026
Country
Canada
University
Queen's University

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About this position
Multiple fully funded PhD positions are available in the areas of Large Language Models (LLMs), Natural Language Processing (NLP), and Machine Learning at Queen’s University in Canada. These positions are offered within the Department of Electrical and Computer Engineering, providing opportunities to work on cutting-edge research topics in artificial intelligence and language technologies. The research group is led by Professor Imran Sarwar, who has a strong academic background and international experience.
Queen’s University, located in Kingston, Ontario, is one of Canada’s oldest and most prestigious public research universities, with a history spanning over 180 years. The university is renowned for its excellence in engineering, science, and business, and is affiliated with several Nobel laureates and a Turing Award winner. The campus is situated by Lake Ontario, offering a vibrant and scenic environment for academic pursuits.
The Department of Electrical and Computer Engineering at Queen’s University is recognized for its collaborative research environment, modern facilities, and strong community between faculty and students. Graduate students benefit from access to advanced research labs and opportunities to engage in innovative projects in artificial intelligence, deep learning, and related fields.
Applicants should have a strong academic background in Computer Science, Electrical Engineering, or related disciplines. Experience or interest in LLMs, NLP, or Machine Learning is preferred. To apply, candidates should send their CV and transcripts to the group’s recruiting email and may also use the provided application link. The preferred deadline for applications is March 15, 2026, but applications will be considered until all positions are filled. The start date for successful candidates is either September 1, 2026, or January 1, 2027.
Queen’s University values diversity, equity, and inclusion, and aims to create a supportive and dynamic research environment. Graduates from the program have gone on to work at leading research and industrial organizations in Canada, the US, and internationally. The positions are fully funded, covering tuition and providing a stipend, though specific financial details are not mentioned in the announcement.
For more information about the university and the department, visit Queen’s University and the Department of Electrical and Computer Engineering websites.
Funding details
Multiple fully funded PhD positions are available. Funding covers tuition and provides a stipend, as the positions are described as fully funded. No specific stipend amount is mentioned.
What's required
Applicants should have a strong academic background in Computer Science, Electrical Engineering, or related fields. Submission of CV and transcripts is required. Preference may be given to candidates with experience in Large Language Models, Natural Language Processing, or Machine Learning. No specific GPA or language test requirements are mentioned.
How to apply
Send your CV and transcripts to [email protected]. Apply via the provided application link. Applications are considered until positions are filled. Preferred deadline is March 15, 2026.
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