Scholarship

EPSRC DLA Scholarship in the School of Computer Science

University of Leeds - School of Computer Science
Award Not specified
Closing date Closed
Location GB
For Individuals

About this opportunity

The School of Computer Science at the University of Leeds is offering a fully-funded, 3.5 year PhD studentship for UK fee-rated applicants, to start on 1 October 2026, as part of the EPSRC Doctoral Landscape Award (DLA) scheme. This scholarship covers full academic fees together with a tax-free maintenance grant at the standard UKRI rate (ยฃ20,780 in academic session 2025/26). The scholarship supports research in any area of computer science where the school is actively engaged, including: Artificial Intelligence (robotics, biomedical analysis and imaging, reasoning), Computer Science in Biology, Medicine and Health (computational neuroscience, healthcare process analytics), Algorithms and Complexity (graph theory, scheduling), Distributed Systems and Services (cloud and edge computing, digital democracy), and Computational Science and Engineering (computational fluid dynamics, high-performance graphics, physics-informed neural networks). The School of Computer Science collaborates extensively with other universities and companies across the world, including Leeds Teaching Hospitals NHS Trust, and participates in the Alan Turing Institute. The school holds the Athena Swann silver award for gender equality, and 99% of its research was classified as world-leading or internationally excellent in the most recent REF exercise.
42 - 43 mo
2 awards

Who can apply

Applicant Types

individual

Organization Types

academic

Citizenship

๐Ÿ‡ฌ๐Ÿ‡ง United Kingdom

Residency

๐Ÿ‡ฌ๐Ÿ‡ง United Kingdom

Project Locations

๐Ÿ‡ฌ๐Ÿ‡ง United Kingdom

Region

United Kingdom

How to apply

Stages

  1. 1 single_stage

Required documents

cv ยท transcripts ยท cover_letter

Review process

Applications will be considered after the closing date with selection based on academic merit through the EPSRC Doctoral Landscape Award Competition

Additional benefits

  • training

Restrictions

  • geographic_restrictions