Publisher
source

University of New Brunswick

Fully Funded MSc and PhD Positions in Artificial Intelligence, Deep Learning, NLP, IoT, Network Security, Graph Learning, LLMs, and Cybersecurity University of New Brunswick in Canada

Degree Level

Master's, PhD

Field of study

Computer Science

Funding

Fully funded graduate student positions supported by more than $600,000 in research funding through NSERC Discovery Grants and Mitacs. Students may work closely with Mastercard Canada under the research chair program.

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Country

Canada

University

University of New Brunswick

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Keywords

Computer Science
Electrical Engineering
Information Technology
Deep Learning
Artificial Intelligence
Cybersecurity
Natural Language Processing
Network Security
Internet Of Things
Large Language Models

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About this position

Mark Boata is recruiting fully funded MSc and PhD students to join a research team at the Canadian Institute for Cybersecurity (CIC), University of New Brunswick, Canada.

The projects focus on Artificial Intelligence, Deep Learning, NLP, IoT & Network Security, Graph Learning, LLMs, and Cybersecurity, including topics such as advanced agentic AI techniques for behavioural threat detection and behavioral graph representation and vectorized knowledge integration for multi-hop stealthy threat profiling.

Funding is supported by more than $600,000 in research funding through NSERC Discovery Grants and Mitacs. Selected students may also have the opportunity to work closely with Mastercard Canada through the research chair program.

Eligibility: PhD applicants should hold a master’s degree in computer science or a related field. Master’s applicants should hold a bachelor’s degree in a relevant field. Applicants in Canada are strongly preferred.

How to apply: Email your academic CV and cover letter in PDF format to [email protected].

Funding details

Fully funded graduate student positions supported by more than $600,000 in research funding through NSERC Discovery Grants and Mitacs. Students may work closely with Mastercard Canada under the research chair program.

What's required

PhD applicants must hold a master’s degree in computer science or a related field. Master’s applicants must hold a bachelor’s degree in a relevant field. Applicants in Canada are strongly preferred.

How to apply

Send your academic CV and cover letter as PDF files to [email protected].

More information can be found here

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