Andrew F.
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Fully Funded Master's Position in Applied AI, Machine Learning, and NLP at University of New Brunswick University of New Brunswick in Canada
Degree Level
Master's
Field of study
Computer Science
Funding
The position is fully funded for Master's students. No further details on stipend amount or tuition coverage are provided.
Deadline
Dec 28, 2025
Country
Canada
University
University of New Brunswick

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About this position
The University of New Brunswick is offering a fully funded Master's position in Computer Science, supervised by Assistant Professor Andrew F. The research group focuses on applied artificial intelligence, with an emphasis on developing practical machine learning and data-driven systems that are robust, efficient, and usable in real-world settings. Key research themes include lightweight and responsible AI, interpretability, evaluation, fairness, and usability, aiming to move AI solutions beyond prototypes into deployment.
Research areas of interest span applied machine learning, data-driven decision support, natural language processing (NLP), information extraction, and human-centered AI. The group is particularly interested in AI applications with high impact in domains such as health, engineering, and industry systems. Students will have the opportunity to work on projects that blend strong technical foundations with tangible, real-world outcomes.
Applicants should have a relevant technical background and are encouraged to submit their CV, a brief note on their interests and background, and any links to projects, publications, or GitHub. The position is fully funded, though specific details on stipend or tuition coverage are not provided. The application window is for Fall 2026, with a deadline of December 28, 2025. Only selected candidates will be contacted for further steps.
For more information or to apply, contact Andrew F. via LinkedIn.
Funding details
The position is fully funded for Master's students. No further details on stipend amount or tuition coverage are provided.
What's required
Applicants should have a strong technical background relevant to computer science, machine learning, or artificial intelligence. Candidates are encouraged to send their CV, a short note on their interests and background, and any links to projects, publications, or GitHub. Only selected candidates will be contacted for next steps. No specific GPA, language, or degree requirements are mentioned.
How to apply
Send your CV and a short note on your interests and background to the announcer via LinkedIn message. Include any links to projects, publications, or GitHub if available. Only selected candidates will be contacted.
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