The University of Leeds is inviting applications for its Blue sky methods in machine and deep learning for medical image analysis at scale PhD projects in UK 2019.

This project is targeted to PhD student applicants with a strong technical background in computer science and mathematics who are interested to develop new blue sky methods in machine learning and deep learning in an inspiring environment. Unlike other projects with a stronger translational focus, this project has no a priori application domain but is challenge driven.

The University seeks candidates with interest and background to tackle the following challenges; new machine learning techniques for medical image segmentation and registration at scale, a new machine learning approach to handle uncertainty in inputs and outputs in regression and classification problems, and new approaches to manifold learning of spatiotemporal trajectories.

Worth of Award

  • Funding for the project will be awarded on a competitive basis.
  • A full standard studentship consists of academic fees (£4,327 in Session 2019/20), together with a maintenance grant (£15,009 in Session 2019/20) paid at standard Research Council rates.
  • The PhD project is funded Worldwide (International, UK, and EU)


To be eligible;

  • Successful candidates will have an excellent first degree in Computer Science, Mathematics, Statistics, Physics, Biomedical Engineering or Electrical Engineering.
  • Candidates with a very good theoretical background, analytical skills, self-awareness, eagerness to learn, independent, a team player, and a commitment to interdisciplinary research are valued.

How to Apply

  • Formal applications for research degree study should be made online through the university’s website.
  • Please state clearly in the research information section that the PhD you wish to be considered for is the ‘Blue sky methods in machine and deep learning for medical image analysis at scale’ as well as Professor Alejandro F Frangi as your proposed supervisor.
  • If English is not your first language, you must provide evidence that you meet the University’s minimum English Language requirements.
  • The university welcome scholarship applications from all suitably qualified candidates, but UK black and minority ethnic (BME) researchers are currently under-represented in our Postgraduate Research community, and they would therefore particularly encourage applications from UK BME candidates.
  • All scholarships will be awarded on the basis of merit.


Deadline: Application closes April 1, 2019.


Click here for more details and to apply

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