Don't miss our weekly PhD newsletter | Sign up now Don't miss our weekly PhD newsletter | Sign up now

  PhD Machine Learning for Medical Imaging

   School of Physics and Astronomy

This project is no longer listed on and may not be available.

Click here to search for PhD studentship opportunities
  Prof A Podoleanu, Prof Philippe de Wilde  No more applications being accepted  Funded PhD Project (Students Worldwide)

About the Project

We are offering a fully funded PhD studentship in the application of machine learning to medical imaging, especially imaging of cancer. This PhD studentship is awarded by the University of Kent in association with a Medical Research Council (MRC) grant in the same area of research. The duration of the scholarship is 36 months. 

You will be part of a team of 5 academics and over 20 postdocs and PG students under the leadership of Professor Adrian Podoleanu and Professor Philippe De Wilde. Part of the team works on optics and photonics, and others work on machine learning. You will help bring these two areas together. The combination of machine learning, optics, and medical imaging is a rapidly expanding research area. We work with other universities, but also with hospitals and companies. After the PhD you will be able to develop as an academic, but you can also work on medical imaging and machine learning in hospitals or at companies. You may even want to start up your own company. We will help you in whichever way you want to develop. 

You will be based at the Applied Optics Group (AOG), Division of Natural Sciences, University of Kent. The MRC grant the studentship is associated with is a collaboration with the University of Nottingham on Quantitative OCT-Raman spectral imaging for intra-operative detection of positive margins in breast-conserving surgery. You will have the opportunity to visit the collaborating team at the University of Nottingham.

About half of the PhD work will consist of developing deep learning techniques for the interpretation of breast cancer images. The systems assembled will generate data that will enable healthcare providers to supply cost-effective, targeted treatment, not currently possible with conventional technology.

Once the optical systems are assembled, their use and functionality will be tested under the supervision of Prof. Ioan Notingher and clinicians at the University of Nottingham. The applicant will collaborate with the AI team in equipping the diagnosis software with AI enhancement.

For more information on research in the Applied Optics Group, applicants may visit:


The applicant must have a background in computing and physics. A good Physics degree with knowledge of Python will be acceptable, as will be a Computing degree with a knowledge of Physics. We will also consider applicants with an Electrical and Electronic Engineering degree.

For more information you may contact Professor Adrian Podoleanu at [Email Address Removed], School of Physics and Astronomy or Professor Philippe de Wilde at [Email Address Removed], School of Computing.


30th April, 2024 for a September 2024 start.

Biological Sciences (4) Physics (29)

Funding Notes

Tuition fees at Home rate and annual stipend at the standard Research Council rate (£19,237 in 2024/25) for 3 years.
Applications are open to home and overseas students, but tuition will only be waived at the postgraduate home rate (£4,786 for 2024/25). Overseas applicants should make provision to meet the difference between home and overseas fees.

Where will I study?

Search Suggestions
Search suggestions

Based on your current searches we recommend the following search filters.