Available
Project number:
2025_61
Start date:
Otcober 2025
Project themes:
Main supervisor:
Senior Lecturer in Healthcare Engineering
Co-supervisor:
Dr Amos Folarin, Senior Software Development Group Leader, Department of Biostatistics & Health Informatics
Additional Information:
Unlocking the potential of wearable monitoring in the elderly: prediction of adverse events and cognitive decline
Ensuring healthy aging is becoming a social and economic priority, and we believe that wearable devices can represent an effective tool to improve health in older adults. Despite requiring more frequent monitoring due to increasing frailty and comorbidities, older adults have greater difficulty in accessing healthcare.
Modern advancements in mobile health technologies have the potential to bring medical assessments to everyone’s home and to make healthcare more accurate and accessible.
We are carrying out a unique wearable study in the National Survey of Health and Development (NSHD), the longest continually studied birth cohort in the history of science, in which 600 older adults (aged 78) are given a smartwatch and apps to monitor their physical activity, exercise capacity, cardiorespiratory function, mental health, sleep and cognitive function for 18 months.
Our main aim is to determine how to harness novel wearable devices to improve health in older adults, and the main objectives are:
1) To establish determinants of physical activity and exercise capacity in older adults.
2) To develop a computational model based on wearable data to predict hospitalizations, adverse events and cognitive decline in older adults.
3) To determine the dynamic interplay between cardiorespiratory function, physical activity, mental health and cognitive function in older adults.
Because of the duration and multi-domain nature of the wearable assessment and the breadth and depth of biomedical, cognitive and social characterization in NSDH, we believe that this project represents a unique opportunity to better understand aging and to harness new technologies to improve healthy aging.
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