Available
Project number:
2025_18
Start date:
October 2025
Project themes:
Main supervisor:
Consultant in Aviation and Space Medicine, Head of Aerospace Medicine
Co-supervisor:
Professor Yang Gao
Additional Information:
Personalised IoT data-based health and performance systems for safe and sustainable future human spaceflight
Background
Spaceflight provides a unique set of challenges for the human body and associated health care systems. Current Low Earth Orbit medical operations are heavily dependent on Earth-based resource and assistance. Future missions to the Moon and Mars are going to need ‘Earth Independent Medical Operations’, necessitating advancements in autonomous healthcare systems. This will be heavily dependent on terrestrial advances in data-driven healthcare and application of novel approaches to human health, well-being and performance.
Novelty & Importance
This project involves a pioneering application of Internet of Things (IoT) biomonitoring systems, to gather data in spaceflight analog settings, which will be used to create personalised Digital Twins for simulated spaceflight exposures. This is an important first step to personalised Digital Twins for astronauts. This novel approach ensures individualized health monitoring and predictive healthcare, reducing dependency on Earth-based medical support. The project represents a significant leap in ensuring astronaut safety and performance during long-duration space missions. Moreover, this research holds potential terrestrial benefits by providing insights that can be applied to broader healthcare applications, enhancing personalized healthcare for the general population.
Aims & Objectives
o Develop concept for IoT-based health and performance monitoring systems for astronauts.
o Conduct human research using IoT biomonitoring systems in various settings, including exercise, thermal stress, tilt table, hypoxia, lower body negative pressure, and parabolic flight.
o Create personalised Digital Twins for simulated spaceflight exposures, as a novel context to test and develop these systems, including potential for individualised healthcare and predictive modelling.
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