PhD & MSc Positions in NLP and Large Language Models at Queen’s University
Explore research in Large Language Models and NLP to develop AI that understands and interacts through human language. Work within a leading AI group at Queen’s University to contribute to transformative technology impacting multiple industries.
AI-generated overview
Project Description
Project Overview
This research focuses on advancing Large Language Models (LLMs), Natural Language Processing (NLP), and agentic models, crucial for the next generation of AI applications like intelligent assistants, automated translation, and advanced information retrieval. The goal is to enable AI systems that understand, generate, and interact with human language effectively.
What You Will Do
As part of the Text Analytics and Machine Learning Group (TAML) led by Dr. Xiaodan Zhu, students will engage in research involving cutting-edge machine learning techniques, work with large-scale language models, and explore agentic models. You will have access to world-class computing infrastructure, including advanced GPU resources at the Vector Institute. Collaborative research with academic and industry partners is expected.
Expected Outcomes
Outcomes include novel methodologies for enhancing LLM and NLP capabilities, improved machine intelligence for better human-computer interaction, and contributions to the scientific understanding of agentic AI models. Graduates will be well-equipped for careers in academia and industry.
Why This Matters
AI systems capable of sophisticated natural language understanding support transformative applications across healthcare, education, finance, and entertainment. Developing these systems addresses fundamental machine intelligence challenges and can significantly improve societal interactions with technology.
Entry Requirements
How to Apply
Eligibility
Supervisor Profile
Dr. Xiaodan Zhu is a leader in natural language processing and machine learning, with a faculty position at Queen’s University and a dual appointment at the Vector Institute for AI. Her research focuses on advancing AI's ability to understand and generate language, particularly through large language models and agentic AI approaches. Dr. Zhu has a strong reputation in the AI community for innovative research contributions.