Medical Engineering: Fully Funded EPSRC PhD Scholarship: AI approaches to cell imaging data

  • Phd
  • Full cost of UK tuition fees and an annual stipend
  • 3 June 2022

Medical Engineering: Fully Funded EPSRC PhD Scholarship: Development of AI approaches to analysis of biological cell imaging data

Funding providers: Engineering and Physical Sciences Research Council (EPSRC)

Subject areas: Analytical disciplines will be considered including Mathematics, Engineering, Computer Science, or other related disciplines

Project start date:

  • 1 July 2022 (Enrolment open from mid–June)

Project supervisors: Claire Barnes, Paul Rees and Huw Summers

Aligned programme of study: PhD in Nanotechnology

Mode of study: Full-time

Project description:

The project offers an ideal opportunity for graduates with an interest in the application of AI in biology and medicine to gain experience in development of open-source platforms and to work with industrial partners to apply them to real-world challenges.

It is based on Imaging flow cytometry, an analytical technique which delivers images of millions of cells, within a few minutes of measurement. As it is able to both mass-image large populations and resolve sub-cellular image detail, it is a transformative technology for the diagnosis and monitoring of a host of diseases. This project will use the latest algorithms in AI to analyse the large datasets generated using this system and will involve collaboration with a number of clinical and industrial collaborators, and in particular Glaxo SmithKline’s pharmaceutical assessment teams.

Specifically, the project will build upon, Deepometry, an open-source workflow developed with the objective of applying deep learning algorithms to the analysis of cytometry data. This has been developed in collaboration with GSK and the Broad Institute of MIT and Harvard. The project will involve software development and the application of this deep learning tool to a number of exciting datasets. In particular, the development of ‘Deepometry 2’ will extend our current software for use on both 2D and 3D images and enable use the imaging technology to image tissue from patient samples.

The project will run in conjunction with researchers at GSK, Philadelphia, US and Stevenage, UK who will provide financial assistance for the applicant to spend substantial periods of time at GSK and work on key research problems.

Swansea University
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Swansea University

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Candidates must normally hold an undergraduate degree at 2.1 level (or Non-UK equivalent as defined by Swansea University) in Engineering or similar relevant science discipline.

English Language requirements: If applicable – IELTS 6.5 overall (with at least 5.5 in each individual component) or Swansea recognised equivalent.


Due to funding restrictions, this scholarship is open to applicants eligible to pay tuition fees at the UK rate only, as defined by UKCISA regulations.

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This scholarship covers the full cost of UK tuition fees and an annual stipend of £15,609.


Please visit our website for more information.

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