Scholarship overview

  • Degree level

    Postgraduate doctoral

  • Value

    Home tuition fees covered plus a tax-free annual stipend starting at around £22,780 based on UKRI 2026/27 UK PhD stipend.

  • Number of awards

    1

  • Academic year

    2026/2027

  • Tuition fee status

    Home

  • Mode of study

    Full time

  • Available to

    Prospective students

  • Application deadline

    23/02/2026

  • Additional information

    Scholarship page

    d.onanuga@imperial.ac.uk

  • Available to applicants in the following departments

    • School of Public Health

Eligibility criteria

Essential:

  • Candidates should hold, or achieve by the start of the programme, a Master’s degree in addition to a Bachelor’s degree with a UK First- or Upper Second-Class honours grade or equivalent in a relevant life science or quantitative science subject.
  • Strong background in statistics and quantitative data analysis and familiarity with statistical/computational tools (e.g., R, Python, Stata).
  • Candidates must meet Imperial College’s English language requirements (Higher level) unless exempt.

Desirable:

  • Experience in machine learning, public health, or epidemiological research.
  • Experience working with or communicating with young people.

 

Please note: This scholarship is not available to continuing students.

Course specific information

This is an environmental exposure assessment and epidemiology PhD project based within Imperial’s School of Public Health at the White City Campus. The student will join the NIHR HPRU in Radiation Threats and Hazards team and collaborate with partner institutions including UKHSA, King’s College London, Institute of Cancer Research, and MRC Toxicology Unit at the University of Cambridge.

Application process

Apply via Imperial College’s PhD application portal. Candidates must submit:

  • CV
  • Academic transcripts
  • Personal statement
  • Details of two referees

Shortlisted candidates will be invited for interview.

Additional information

Start date: 1 October 2026.

The successful candidate will be supported by a bespoke training programme and will engage in public involvement activities, contribute to SCAMP cohort follow-up, and disseminate findings through publications and conferences.

Contact

If you have any additional questions, please contact us at d.onanuga@imperial.ac.uk.