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Smart Medical Device for Non-invasive Physiological Monitoring

ÉñÂí¸£ÀûӰƬ – School of Engineering Scholarship

Qualification: Doctor of Philosophy in Engineering (PhD)

Eligibility: UK Students, EU Students, International Students

Award value: Tuition fees and tax-free stipend £21,805 - See advert for details

Deadline: 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 multi-disciplinary team of experts in biomedical signals, sensors and bioelectronics in the Biomedical & Biotechnology Research Cluster, and Measurement, Devices and Materials Research Cluster at the School of Engineering, ÉñÂí¸£ÀûӰƬ. The project will commence in October 2026 or soon thereafter.

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. Guidance and the application form are here:

Candidates must fulfil the ÉñÂí¸£ÀûӰƬ 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.

The ÉñÂí¸£ÀûӰƬ provides an inclusive working and learning environment, recognising and respecting every individual’s differences. We welcome applications from individuals who identify with any of the protected characteristics defined by the Equality Act 2010.


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