Available
Project number:
2025_24
Start date:
October 2025
Project themes:
Main supervisor:
Lecturer in Digital Health Sciences
Co-supervisor:
Dr Katie Dalrymple - Lecturer in Nutritional Sciences
Additional Information:
Exploring the relationship between mental health and musculoskeletal injuries in Serving Armed Forces personnel: A mixed methods study to develop an AI-powered risk prediction framework
Exploring the relationship between mental health and musculoskeletal injuries in Serving Armed Forces personnel: A mixed methods study to develop an AI-powered risk prediction framework
Musculoskeletal injuries are a leading cause of medical discharge in the UK Armed Forces, contributing significantly to aeromedical evacuations, primary care visits, and lost service days. Compared to its NATO allies, the UK Armed Forces is relatively small, with limited capacity to accommodate high levels of non-deployable personnel without compromising operational capability. Common risk factors for musculoskeletal injuries include previous injury, sex, fitness levels, diet, age, mental health, and rank. Research suggests that mental health conditions often precede and increase the risk of musculoskeletal injuries, highlighting the importance of addressing both mental and physical readiness to develop effective prevention strategies.
This project aims to investigate the relationship between mental health and musculoskeletal injuries in the UK Armed Forces, focusing on the development of a risk prediction framework and targeted prevention strategies. By analysing key risk factors and employing innovative approaches to identify personnel at high risk of injury, the project seeks to reduce medical discharges, lost service days, and associated costs.
In addition to advancing knowledge in this critical area, the project aims to provide actionable recommendations to military leaders and policymakers for enhancing injury prevention and mental health support within the Armed Forces. Training in AI, data analytics, qualitative skills, and Defence familiarisation will prepare the student with the tools needed to drive impactful outcomes, ensuring that the project aligns with its goal of strengthening the UK Armed Forces’ readiness.
Appointment is subject to obtaining UK Security Clearance.
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