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University of Victoria

Fully-Funded PhD and MSc Positions in Machine Learning Theory at University of Victoria University of Victoria in Canada

Degree Level

Master's, PhD

Field of study

Computer Science

Funding

Fully-funded positions are available for both PhD and MSc students. Funding covers tuition and provides a stipend, though the exact amount is not specified.

Deadline

Dec 15, 2026

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Country

Canada

University

University of Victoria

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Keywords

Computer Science
Mathematics
Theoretical Computer Science
Statistics
Deep Learning Theory

About this position

The University of Victoria is offering fully-funded PhD and MSc positions in Machine Learning Theory, with a start date in Fall 2026. These positions are ideal for students with a strong background in Machine Learning, Theoretical Computer Science, or Statistics, and who are interested in theoretically-motivated research topics. The research group is led by Dr. Nishant Mehta, and applicants will have the opportunity to work on cutting-edge problems in machine learning theory within a vibrant academic environment.

PhD applicants should hold a Master's degree in a relevant field with a first-class standing (A-), while MSc applicants should have a Bachelor's degree in Computer Science, Mathematics, Statistics, or related fields with a minimum B+ standing. The application process requires submission of an online application, academic transcripts, two assessment reports, a CV/resume, a statement of intent, and proof of English language proficiency if applicable. The GRE is optional but recommended for international students.

Funding for these positions is fully provided, covering tuition and offering a stipend to support living expenses. The University of Victoria's Department of Computer Science is known for its strong faculty and research output in areas such as machine learning, theoretical computer science, and statistics. The department receives many qualified applications each year, and admission is competitive, depending on the selection by individual supervisors.

The main application deadline for Fall 2026 entry is December 15, 2025. Interested applicants should email Dr. Nishant Mehta with a brief introduction, research interests, and academic background, and then complete the official online application through the university's website. For more information, applicants are encouraged to visit the department's graduate admissions page.

Key academic keywords: Machine Learning Theory, Theoretical Computer Science, Statistics, Computer Science, Mathematics, PhD, MSc, University of Victoria, fully-funded, research, graduate studies, Canada.

Funding details

Fully-funded positions are available for both PhD and MSc students. Funding covers tuition and provides a stipend, though the exact amount is not specified.

What's required

PhD candidates should have a Master's degree in a relevant field such as Machine Learning, Theoretical Computer Science, or Statistics, with a first-class standing (A-). MSc candidates should have a Bachelor's degree in Computer Science, Mathematics, Statistics, or related fields with a minimum B+ standing. All applicants must submit an online application, academic transcripts, two assessment reports, a CV/resume, a statement of intent, and proof of English language proficiency if applicable. GRE is optional but recommended for international students.

How to apply

Email [email protected] with a brief introduction, research interests, and academic background. Complete the official online application on the University of Victoria website. Prepare all required documents before the December 15th deadline. Visit the provided UVic link for detailed application instructions.

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