Publisher
source

Queen's University

Fully Funded PhD and MSc Opportunity in Natural Language Processing and Large Language Models at Queen’s University Queen’s University in Canada

Degree Level

Master's, PhD

Field of study

Computer Science

Funding

Fully funded PhD and MSc positions with a competitive stipend and tuition support. The post also mentions opportunities to publish in leading AI and NLP conferences and journals and access to high-performance computing resources.

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Country

Canada

University

Queen's University

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Keywords

Computer Science
Data Science
Machine Learning
Information Technology
Deep Learning
Mathematics
Artificial Intelligence
Information Retrieval
Natural Language Processing
Explainable Ai
Statistics
Large Language Models

About this position

Fully funded PhD and MSc opportunities are available at Queen’s University in Canada for students interested in Natural Language Processing (NLP), Large Language Models (LLMs), Multimodal AI, Retrieval-Augmented Generation (RAG), Trustworthy AI, Explainable AI, Machine Learning, Deep Learning, Knowledge Graphs, and Information Retrieval.

The research aims to develop novel AI methods that improve the capability, efficiency, reliability, and safety of language models while addressing practical challenges across real-world application domains.

Applicants from Computer Science, Artificial Intelligence, Machine Learning, Data Science, Software Engineering, Mathematics, Statistics, or related areas are encouraged to apply.

Preferred qualifications include a Bachelor’s or Master’s degree in a relevant discipline, strong Python programming skills, and experience with machine learning, deep learning, or NLP. Strong analytical, research, and communication skills are also expected.

Funding includes a competitive stipend, tuition support, publication opportunities, and access to high-performance computing resources.

To apply, email your CV, academic transcripts, and a brief statement of research interests to Dr. Ruifeng Xu. An official faculty profile is linked in the post for additional context.

Funding details

Fully funded PhD and MSc positions with a competitive stipend and tuition support. The post also mentions opportunities to publish in leading AI and NLP conferences and journals and access to high-performance computing resources.

What's required

Applicants should have a Bachelor’s or Master’s degree in a relevant discipline. Strong programming skills, particularly in Python, are required. Experience with machine learning, deep learning, or NLP is preferred. Applicants should also have strong analytical and research skills, plus good written and verbal communication skills.

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