Available
Project number:
2025_49
Start date:
October 2025
Project themes:
Main supervisor:
Clinical Lecturer in Geriatric Medicine
Co-supervisor:
Professor Claire Steves
Additional Information:
Deep Phenotyping of Heatwave Resilience in Older Adults
Background
In the UK, nearly 19% of the population is ≥65 years, and this is rising. Concurrently, global heating continues, with regions like the UK expected to experience more frequent and severe heatwaves, such as the 2022 event, which resulted in nearly 3,000 excess deaths among older people in England. In the already overstretched NHS, increase in heat-related illnesses further drives up healthcare costs (currently £300 million/year).
Novelty & Importance
Despite the disproportionate effects of heatwaves on older populations, there’s a notable gap in direct, real-world data on how heat stress affects them. This interdisciplinary project will directly address this by analysing real-time physiological, biological, omics, wearable, and environmental data in the homes of older adults, including care homes. The work will explore and assess different statistical and machine-learning frameworks for integrating and analysing this highly temporal, granular, complex datasets.
Aims & Objectives
1.Integrate dynamic physiological change data (cardiovascular, renal, immune, gastrointestinal, microbiome) in older adults, with real-time environmental tracking, device data from wearables, before, during, and after a heatwave, in order to deeply phenotype the real-world impact of heatwaves on older adults.
2.Analyse this complex health and spatial data and identify key predictors and features of heat stress in older adults, with appropriate consideration of the longitudinal nature of the data.
3.Co-design future modelling frameworks for further interventional/observational studies, ensuring direct translation of findings from 1 & 2
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