Fully Funded Research Positions in AI and NLP at Queen’s University

Queen’s University

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Vacancy

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Description

Queen’s University is offering several fully funded PhD and Master’s positions for students passionate about the future of Artificial Intelligence. Successful candidates will join the Text Analytics and Machine Learning Group (TAML) within the Department of Electrical and Computer Engineering.

Led by Dr. Xiaodan Zhu, the TAML group focuses on cutting-edge research in Large Language Models (LLMs) and autonomous agents. As a member of the Vector Institute for AI, Dr. Zhu provides students with unique access to world-class computing resources and professional office facilities in a premier research hub.

Research Focus Areas

Students will contribute to high-impact projects in the following domains:

• Large Language Models (LLMs): Developing and refining massive neural networks.
• Natural Language Processing (NLP): Advancing how machines understand human language.
• Agentic Models: Researching AI agents capable of autonomous reasoning and action.
• Machine Learning: Exploring fundamental and applied algorithmic improvements.
  
  

Funding and Benefits

• Full Financial Support: Positions are fully funded for both PhD and Master’s tracks.
• Computing Power: Access to the Vector Institute’s extensive GPU resources.
• Career Pipeline: Graduates from this group frequently secure roles at top-tier research institutions and global tech companies across Canada and the United States.
• Inclusive Environment: The lab prides itself on a diverse, international, and supportive research culture.
  
  

Candidate Qualifications

The TAML group seeks motivated individuals with the following profile:

• Academic Background: A strong degree in Electrical Engineering, Computer Engineering, Computer Science, or a related quantitative field.
• Research Interest: A genuine passion for NLP and machine learning innovation.
• Technical Skills: Proficiency in programming and a solid understanding of mathematical foundations for AI.
  
  

Application Process

Interested applicants should follow these two mandatory steps to be considered:

• Online Form: Complete the Official Google Application Form.
• Email Submission: Send an email to group-taml-recruiting@queensu.ca.
• Subject Line: Include your name and the degree level you are applying for.
• Attachments: You must attach your CV and all academic transcripts.
• Introduction: Feel free to include a brief introduction of your research interests and background in the body of the email.
  
  Note: If you have previously emailed your application to this address, your materials are already under review and you do not need to reapply.

Important Dates

• Preferred Application Deadline: April 15, 2026. (Applications remain open until all positions are filled).
• Start Dates: The preferred start date is September 1, 2026, though January 1, 2027, is also possible.