| Qualification Type: | PhD |
|---|---|
| Location: | Coventry, University of Warwick, Warwick |
| Funding amount: | £21,805 |
| Hours: | Full Time |
| Placed On: | 28th May 2026 |
|---|---|
| Closes: | 15th June 2026 |
Project Details:
The prevalence of diseases, such as cardiovascular disease, is rising rapidly and creating an economic and social burden globally. Interestingly, some of these diseases could be prevented with earlier detection and improved prediction of individuals at risk.
This PhD project aims to develop a low-power ubiquitous non-invasive monitoring system for the early-stage detection of different diseases. The system will provide continuous monitoring along with an artificial intelligence-based risk scoring tool. Advanced signal processing techniques, together with machine learning, will be used to develop methods for automatic detection of diseases using biological signals.
The project will involve working with a multidisciplinary team of experts in biomedical signals, sensors, and bioelectronics in the Biomedical & Biotechnology Research Cluster and the Measurement, Devices and Materials Research Cluster at the School of Engineering, University of Warwick. The project will commence in October 2026.
For an informal discussion or if you need to know more about the project, please feel free to contact the project supervisors, Dr Amit Dwivedi (Amit.Dwivedi@warwick.ac.uk) or Prof. Michael Chappell (m.j.chappell@warwick.ac.uk).
Scholarship:
The award will cover the full tuition fees, plus a tax-free stipend, currently £21,805, paid at the prevailing UKRI rate for 3.5 years of full-time study.
Eligibility:
The candidate should have a first-class Bachelor's or Master's degree in Biomedical Engineering, Electrical and Electronics Engineering, Computer Science Engineering, or equivalent. This project will suit those with a keen interest in AI and machine learning, biomedical signals, sensors and bioelectronics, and their potential applications in healthcare.
How to apply:
Interested candidates should submit a full formal application. For guidance and the application form or to apply, click the ‘Apply’ button above.
Candidates must fulfil the University of Warwick entry criteria and obtain an unconditional offer before commencing enrolment. Should your application for admission be accepted, you should be aware that notification of acceptance for the PhD does not constitute an offer of financial support. Successful scholarship candidates will receive an official communication from the School of Engineering to confirm their award.
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