UCL EPSRC Centre for Doctoral Training in Intelligent Integrated Imaging in Healthcare


NOW CLOSED: Towards a better understanding of cardio and cerebrovascular diseases (23005)

PhD Studentship - Towards a better understanding of cardio and cerebrovascular diseases - Deadline: 28th July 2023

Example of echocardiography, ECG trace and brain MRI with cerebrovascular lesions surrounding the logo of the MRC LHA unit that presents a human being at different stages of their life

30 June 2023

Supervision Team: Dr Rhodri Davies / Dr Michele Orini / Dr Carole Sudre 

A MRes+PhD funded studentship is available in a partnership between the MRC Unit for Lifelong Health and Ageing, and the Centre for Medical Image Computing. Funding jointly from the MRC LHA, i4health CDT and the BHF accelerator award  will be at least the UCL minimum. Stipend details can be found here.
The successful candidate will join the UCL CDT in Intelligent, Integrated Imaging in Healthcare (i4health) cohort and benefit from the activities and events organised by the centre. They will also benefit from the activities of the BHF PhD Programme from the Institute of Cardiovascular Science

Project Background: 

The MRC Unit for Lifelong Health and Ageing (LHA)  is an interdisciplinary unit and our research combines rich imaging, clinical, physiological, and biological data from across the life course to help us lead on discoveries into both normal and pathological ageing processes. The Centre for Medical Image Computing gathers expertise from mathematical and computational sciences and medical physics to develop technologies applied to healthcare imaging in partnership with clinicians.  Students will receive supervisory input from computer scientists, clinicians and data scientists and be integrated fully into the two units/centres. Broadly, the project will involve applying data science and machine learning techniques to physiological and imaging data to gain better insight into normal ageing and the disease process, with the overarching aim of improving prevention of cardio- and cerebro-vascular disease and cognitive decline and promoting healthy ageing.

Research aims: 

The project will involve discovering features in cardiac and vascular imaging (e.g. ultrasound/echocardiography, magnetic resonance imaging) that predict cerebrovascular lesions. 

Application Details and Eligibility:

  • This studentship is only open to Home Fee paying applicants. Overseas fee payers will not be considered. You can find out more information about Fee Status criteria here
  • Applicants are generally expected to have, or expected to obtain at least a First Class Honours or Upper Second Class Honours UK (or international equivalent) Bachelor’s degree, preferably in computer science, engineering, physics or related degree.
  • Strong interest in image analysis in the context of healthcare and ageing

Application Deadline: 28th July 2023

How to apply:

Please complete the following steps to apply.

  •  Send an expression of interest and current CV to: rhodri.davies@ucl.ac.uk  and cdtadmin@ucl.ac.ukPlease quote Project Code: 23005 and your UCL Application ID in the email subject line.
  • Make a formal application to via the UCL application portal. Please select the programme code Medical Imaging TMRMEISING01 and enter Project Code 23005 under ‘Name of Award 1’.

If shortlisted, you will be invited for an interview.


Application Process:

  • After the deadline, all applicants that specified Project 23005 and with a Portico application will be considered for interview.
  • Candidates will normally be invited for interview within two-weeks of the deadline. If you have not been contacted within this time-period, you have unfortunately not been successful in being shortlisted.
  • The interview panel will normally consist of the supervision team on the project and the CDT Director.
  • The interview will normally consist of a short presentation (5-10mins) by the candidate followed by questions from a panel.
  • The successful candidate will be informed by email and given a week to confirm whether they wish to accept the PhD place and funding.
  • Note that applications without specifying the project they are applying for and/or making a formal Portico application will be automatically rejected.
  • Once accepted, a formal UCL offer of admission will be sent to the applicant as well as an offer of studentship funding.