Scholarship

Early Cancer Institute non-clinical PhD studentships

University of Cambridge Original Source
Award

£22,500 - £22,500

Deadline

Jan 07, 2026

Deadline passed
Location

United Kingdom

Applicants

individual

About This Opportunity

The Early Cancer Institute at the University of Cambridge invites applications from highly motivated and enthusiastic individuals for 3.5 year non-clinical PhD studentships funded at the UK home rate. Two studentships are available: The Harding Distinguished Postgraduate Scholars/Michael Cowan Foundation Non-Clinical PhD Studentship and The Trinity Cambridge Research/Michael Cowan Foundation Non-Clinical PhD Studentship. These studentships commence in October 2026 and provide funding for tuition fees at the UK rate, an index-linked maintenance stipend for 3.5 years starting at £22,500 per annum, and an allocation towards project consumables and training costs. The students will be based in one of the Research Groups of the Early Cancer Institute, Department of Oncology, University of Cambridge. Five research projects are available covering areas including circulating cell free DNA and RNA signatures for early cancer detection, optical coherence tomography for renal tumour profiling, multimodal AI for kidney cancer early detection, genetic determinants of clonal haematopoiesis, and disease-associated somatic mutations in the liver. Applicants are encouraged to select two projects and rank them in order of preference.

Duration 42 - 43 mo
2 awards
Decision April 2026

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 two_stage

Required documents

cv transcripts references

Review process

Shortlisted applicants will be invited to attend an online interview with a panel of Principal Investigators from the Early Cancer Institute. Applicants will be notified of the outcome after completion of all interviews.

Additional benefits

  • training

Restrictions

  • geographic_restrictions