UCL Institute of Cardiovascular Science


Applications Open for a New 4 Year PhD Studentships

9 February 2022

Four 1+3 year funded PhD studentships are available in a partnership between the MRC Unit for Lifelong Health and Ageing at UCL, and the Centre for Medical Image Computing.

Brain and heart image

The MRC Unit for Lifelong Health and Ageing at UCL (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. Funding is available for four research projects each focusing on important aspects of human health and disease. Broadly, each 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.

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

Funding jointly from the LHA, i4health CDT and the BHF accelerator award  will be at least the UCL minimum. Stipend details can be found here.

The successful candidates 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

Research aims: 

Each of the projects will cover one of the following aims:

  • Discover novel features in medical imaging (e.g. echocardiography, magnetic resonance) to predict major clinical outcomes (e.g. heart attack, hospital admission, death).
  • Use novel remote monitoring techniques (e.g. wearable devices and mobile Health devices) to identify trends significantly impacting on long-term cardiovascular health.
  • Develop new predictive models of cerebrovascular disease evolution based on brain MRI imaging and clinical data.
  • Improve the understanding of the possible links between cerebrovascular lesions and cognition

Application Details and Eligibility:

  • This studentship is only open to Home Fee paying applicants. 
  • 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 and signal analysis in the context of healthcare and ageing

How to apply:

Please complete the following steps to apply.

•    Send an expression of interest and current CV to: c.sudre@ucl.ac.uk and cdtadmin@ucl.ac.uk
Please quote Project Code: 22004 in the email subject line.
•    Make a formal application to via the UCL application portal https://www.ucl.ac.uk/prospective-students/graduate/apply . Please select the programme code Medical Imaging TMRMEISING01 and enter Project Code 22004 under ‘Name of Award 1’ 

Application Deadline: 28 February 2022
If shortlisted, you will be invited for an interview.