Publisher
source

University of Edinburgh

PhD opportunities in Geometric Learning and Uncertainty at the University of Edinburgh University of Edinburgh in United Kingdom

Degree Level

PhD

Field of study

Computer Science

Funding

PhD funding is available through the ELLIS PhD Program, School of Informatics scholarships, and CDT routes. The School of Informatics scholarships are described as fully funded for both home and international applicants, while home-fee applicants are especially encouraged because more funding is available for them.

Deadline

Oct 31, 2026

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Country

United Kingdom

University

University of Edinburgh

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Keywords

Computer Science
Deep Learning
Mathematics
Uncertainty Analysis
Statistics
ML

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About this position

Viacheslav Borovitskiy, Assistant Professor (Machine Learning) at the University of Edinburgh, is recruiting PhD students for 2027 in the GLUEd group: Geometric Learning & Uncertainty in Edinburgh.

The group works on geometric learning, uncertainty quantification, and the intersection of these areas. This is a strong fit for students interested in machine learning, geometric deep learning, and mathematically grounded approaches to uncertainty.

Funding routes mentioned include the ELLIS PhD Program (deadline 31 Oct 2026), School of Informatics scholarships that are fully funded for home and international applicants (deadline 30 Nov 2026), and CDT opportunities with deadlines running from Nov 2026 to Jan 2027. Home-fee applicants are especially encouraged because more funding is available for them.

Applicants are asked to reach out by email before applying. The post links to the group page and the vacancies page for application details.

Funding details

PhD funding is available through the ELLIS PhD Program, School of Informatics scholarships, and CDT routes. The School of Informatics scholarships are described as fully funded for both home and international applicants, while home-fee applicants are especially encouraged because more funding is available for them.

What's required

Applicants should be interested in geometric learning, uncertainty quantification, and related machine learning topics. Home-fee applicants are especially encouraged to apply, and the post indicates that funding is more available for home applicants. Candidates should contact the group by email before applying.

How to apply

Email the group before applying. Then apply through the relevant route listed on the vacancies page, including the ELLIS PhD Program, School of Informatics scholarships, or CDT opportunities.

More information can be found here

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