skip to content

Graduate Admissions


Cancer Research UK (CRUK) RadNet Cambridge is a 5-year multidisciplinary research programme in radiation therapy, led by Professor Charlotte Coles. Across five streams of work, we perform basic science, plus translational and clinical research, with the aim of improving radiotherapy outcomes for patients by increasing the probability of uncomplicated cancer cure. Our workstream focusses on data science, machine learning and radiomics for prediction of treatment outcome, in terms of tumour and normal-tissue response to radiotherapy. Classical radiation biology has evolved from a phenomenological discipline to incorporate novel statistical and computational approaches.

We benefit from a wide-ranging collaboration, with clinicians and medical physicists in the Oncology Centre at Addenbrooke's Hospital, experts in data science and high-performance computing at the Department of Physics, expertise in biostatistics at the Centre for Mathematical Imaging in Healthcare (Department of Mathematics) and at the Cancer Research UK Cambridge Institute.

The goal of this project is to develop and test novel machine-learning approaches for prediction of outcome and toxicity. Analysis will be based on existing imaging, genetic and toxicity data, from nearly 3,000 patients recruited across radiotherapy trials in Breast Cancer, Prostate Cancer and Head & Neck Cancer.

Applicants should have, or expect to have by the start date, at least a good 2.1 UK degree (or international equivalent) in mathematics, physics, statistics, data science, or a closely related discipline, and should be eligible for UK/EU fees. Strong computing skills and coding experience are essential. No formal knowledge of radiation biology is required. The student will be supervised by Dr Gill Barnett, a clinical oncologist with over 10 years of experience in normal tissue toxicity modelling, radiogenomics and biostatistics, and by Karl Harrison, who adds expertise in high-performance computing, handling of image and non-image data in radiation therapy, calculation of radiotherapy dose, and mathematical modelling.

Funding is for 4 years. It provides a tax-free stipend of £19,000 per year, University fees at UK/EU level, and an allowance for travel and consumables (£13,000 for each of the first three years, £6,500 for fourth year).

Fixed-term: The funds for this post are available for 4 years in the first instance.

To apply, please send your curriculum vitae, academic transcript, two academic references, and a covering letter explaining your suitability for the project to Dr Gill Barnett ( The applicant selected for this studentship will be asked to apply separately for admission as a PhD student through the University's Graduate Admissions application portal: Confirmation of the studentship will be conditional on this application being successful. The application deadline for admission in October 2020 is 2 June 2020.

Please quote reference KA23091 on your application and in any correspondence about this vacancy.

The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.

Key Information

Department of Physics

Reference: KA23091

Dates and deadlines:

Monday, 18 May, 2020
Closing Date
Monday, 1 June, 2020