Scholarship

EPSRC Doctoral Landscape Award 2026/27: Computer Science

University of Leeds Original Source

About This Opportunity

The EPSRC Doctoral Landscape Award for Computer Science at the University of Leeds offers highly competitive studentships for talented budding researchers to join a thriving community of leading researchers. These awards provide full tuition fees, a tax-free maintenance grant (currently £20,780 for academic session 2025/26) for 3.5 years, plus training and support. The program invites proposals in any area of Computer Science where the school is actively engaged in research, including Artificial Intelligence, Computer Science in Biology, Medicine and Health, Algorithms and Complexity, Distributed Systems and Services, and Computational Science and Engineering. For 2026/27 entry, 2 studentships are available exclusively for UK applicants. Candidates are placed into the EPSRC Doctoral Landscape Award Studentship Competition, with selection based on academic merit. The School of Computer Science at Leeds has 99% world-leading research (REF 2021) and provides students with access to UK-leading facilities, close industry links, professional skills development, and comprehensive personal and wellbeing services. Applicants must have at least a first class or upper second class British Bachelors Honours degree (or equivalent) in an appropriate discipline. The selection process includes application processing, supervisor shortlisting and interviews, and a final School Selection Panel to determine funding awards. Academic and funding offers will be issued by no later than 31 March 2026.

42 - 43 mo
2 awards
By 31 March 2026 for successful applicants, by 30 April 2026 for unsuccessful

Who Can Apply

Region
United Kingdom
Citizenship
United Kingdom
Residency
United Kingdom
Project in
United Kingdom
Applicants
individual
Organizations
academic

Application Details

Interview

Stages

  1. 1 multi_round

Required documents

cv transcripts cover_letter

Review process

Applications processed after closing date, circulated to supervisors for shortlisting and interviews, supervisors select top candidates for School Selection Panel consideration, panel determines funding awards and reserve candidates.

Additional benefits

  • training
  • mentorship
  • networking

Restrictions

  • geographic_restrictions