Available
Project number:
2025_78
Start date:
October 2025
Project themes:
Main supervisor:
Consultant Psychiatrist
Co-supervisor:
Professor Robert Stewart
Additional Information:
A multimodal data-driven approach to sustainable healthcare - leveraging community volunteering support to improve patients’ mental health outcomes
Background:
Volunteering support is increasingly recognised as a valuable public health intervention for improving mental health outcomes, but its broader population-level impact remains under-researched. This project seeks to investigate the effects of volunteering on individuals with mental health conditions by utilising large-scale, multimodal data sources. By examining data from the Clinical Record Interactive Search (CRIS) platform and self-reported and passive data collected through smart-phones, this research will provide key insights into the health and social outcomes influenced by volunteer support.
Novelty and Importance:
This study uses advanced data science techniques, including development of natural language processing (NLP) and machine learning, to analyse large-scale mental health records and smartphone data. It is the first study to integrate NLP in assessing volunteer support, uniquely testing this in a digital healthcare environment within an NHS mental health trust. This approach is crucial for developing next-generation, sustainable healthcare solutions that combine technological advancements with human support to optimise patient outcomes.
Aims and objectives:
The project aims to:
1. Evaluate the effectiveness of volunteering support on mental health outcomes using data from CRIS.
2. Analyse the health and social impacts of volunteering using self-reported and passive smartphone data.
3. Develop cutting-edge NLP tools to extract volunteering-related data from electronic health records and smartphone data.
4. Provide evidence-based recommendations for integrating volunteer support into sustainable healthcare models.
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