Research Fellow (107219-0323)

Full time, fixed term contract until 02 May 2026.

We will consider applications for employment on a part-time or other flexible working basis, even where a position is advertised as full-time, unless there are operational or other objective reasons why it is not possible to do so.

Undertake research in order to support the work of the HistoMaps (HistoMaps: Stain agnostic feature representations to identify clinically relevant traits in the tumour microenvironment) project lead and assist the project collaborators in the successful execution of the project.

This is an immensely exciting opportunity to join the HistoMaps project team based in the Department of Computer Science, University of Warwick as a Research Fellow. The HistoMaps project has received funding from MRC to develop AI tools for developing histology maps of the tumour microenvironment using haematoxylin and eosin (HE), immunohistochemistry (IHC) and multiplexed immunofluorescence (MxIF) stained whole slide images. The collaborative project is led by Tissue Image Analytics (TIA) Centre, a global leader in computational pathology, at the University of Warwick and provides an exciting opportunity to join a multidisciplinary dynamic team with collaborators from Warwick Medical School, University Hospitals Coventry and Warwickshire, University College London, Institute of Cancer Research, Royal Marsden Hospital and Nvidia on the MONAI project.

We are recruiting a research fellow to build novel AI tools for the analysis of multiplexed cancer histology imaging data. As research staff on the project, you will work on research and development of deep learning based image analytics methods for the analysis of whole slide images (WSIs) from brightfield and multiplexed microscopy. You will be involved in the development of tools which allow creation of unified HistoMaps using a combination of widely used HE or immunostained (IHC/MxIF) images and link feature representations from HistoMaps to clinical variables. You will participate in the deployment of these algorithms in the TIAToolbox ( https://github.com/TissueImageAnalytics/tiatoolbox).

You will also be expected to work closely with project partners in terms of data integration and management as well as development of enabling technologies in this area that can potentially meet regulatory requirements and be suitable for deployment into a clinical setting.

Suitable candidates will have at least a 2.1 Honours degree and a PhD (or equivalent experience / qualification) in Computer Science or a closely related discipline and the experience to initiate and perform research in line with the identified requirements of the project. You will have a strong background in one or more of the following: deep learning; big data management; computational pathology; medical imaging; computer vision; and machine learning.

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 (£32,411). 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 (£33,348).

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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