Research Fellow (105567-0223)

Fixed-term contract until 31 July 2024, 1.0 FTE. Start dates to be agreed with the successful candidate.

There are increasing moves to replace one-size-fits-all mammography screening for breast cancer by risk-adapted screening, in which both the frequency with which women are screened and the modality are chosen based on risk of breast cancer. The aim of this project is to develop an artificial intelligence (AI) system to aid risk-stratified screening, by assessing risk of cancer at screening (detection), risk of masking due to breast density (false negative), and long-term risk of breast cancer following a negative screen. This will be done by using information from a very large repository of digital mammograms (breast x-ray) obtained from several NHS site. The project is funded by Cancer Research and is a partnership with the Centre for Cancer Prevention, located in Central London, and several collaborators in Europe and the USA.

The Research Fellow at the University of Warwick will lead the research into machine learning technologies for computer vision using very large databases of digital mammography images. They will also coordinate an extensive external validation exercise, where algorithms developed during the project will be compared head-to-head with those from collaborators and elsewhere. This post will be based at the Department of Statistics at the University of Warwick and will join Prof’s Montana Data Science team specialised in statistical machine learning. We expect the resulting AI platform developed in this project to be piloted in the NHS.

If you are near submission or have recently submitted your PhD but have not yet had it conferred, any offers of employment will be made as Research Assistant at the top of level 5 of the University grade structure (£31,411). Upon receipt of evidence of the successful award of your PhD, you will be promoted to Research Fellow on the first point of level 6 of the University grade structure (£32,348).

Interview Date: TBC.

Full details of the duties and selection criteria for this role can be found in the vacancy advert on the University of Warwick's jobs pages. You will be routed to this when you click on the Apply button.

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