Available
Project number:
2025_53
Start date:
October 2025
Project themes:
Main supervisor:
Lecturer in Nutritional Sciences
Co-supervisor:
Dr Alastair Duncan
Additional Information:
Digital transformation of multidisciplinary weight management services in South-East London
Background: Most UK adults live with obesity. This project tackles inequalities in weight management access and outcomes for ethnic minorities. Data from electronic health records can help to identify disparities, enabling targeted interventions to improve outcomes, patient and clinician experiences, reduce costs, and health inequalities. Novelty & Importance: Health inequalities in weight management persist. Black African and Caribbean patients experience less weight loss and higher dropout rates. Advanced analytics in electronic health records can help. Leveraging electronic health record data can create a learning health system to continuously identify and address health inequalities, informing targeted interventions for better outcomes. Aims & Objectives: Overall aim: To develop and test new clinical informatics pathways in multidisciplinary weight management services in South-East London to reduce health inequalities. Objective 1: Estimate the effectiveness of digital weight management interventions in multidisciplinary weight management services Objective 2: Develop a new electronic health records-based clinical dashboard to identify inequalities in referrals, access, and patient outcomes in south-east London Objective 3: Develop predictive analytics to predict referrals, access, and patient outcomes in multidisciplinary weight management services in south-east London Objective 4: Co-design a patient-centred intervention with patients who experience health inequalities to address underlying predictors of poor access, adherence, and health outcomes Objective 5: Conduct a pilot feasibility study of the co-designed intervention and evaluate its impact on access, adherence, and health outcomes between two models of care (digital versus standard).
We are now accepting applications for 1 October 2025
How to apply
Candidates should possess or be expected to achieve a 1st or upper 2nd class degree in a relevant subject including the biosciences, computer science, mathematics, statistics, data science, chemistry, physics, and be enthusiastic about combining their expertise with other disciplines in the field of healthcare.
Important information for International Students:
It is the responsibility of the student to apply for their Student Visa. Please note that the EPSRC DRIVE-Health studentship does not cover the visa application fees or the Immigration Health Surcharge (IHS) required for access to the National Health Service. The IHS is mandatory for anyone entering the UK on a Student Visa and is currently £776 per year for each year of study. Further detail can be found under the International Students tab below.
Next Steps
- Applications submitted by the closing date of Thursday 6 February 2025 will be considered by the CDT. We will contact shortlisted applicants with information about this part of the recruitment process.
- Candidates will be invited to attend an interview. Interviews are projected to take place in April 2025.
- Project selection will be through a panel interview chaired by either Professor Richard Dobson and Professor Vasa Curcin (CDT Directors) followed by informal discussion with prospective supervisors.
- If you have any questions related to the specific project you are applying for, please contact the main supervisor of the project directly.
For any other questions about the recruitment process, please email us at