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University of Warwick

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PhD Studentship in Machine Learning and Computational Modelling for Abnormal Heart Tissue and Ventricular Tachycardia University of Warwick in United Kingdom

Degree Level

PhD

Field of study

Computer Science

Funding

The award covers UK (home) tuition fees plus an annual stipend at the UKRI rate of £21,805 for 2026/2027, for 3.5 years of full-time study, and includes a one-off research training grant.

Deadline

Sep 30, 2026

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Country

United Kingdom

University

University of Warwick

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Keywords

Computer Science
Biomedical Engineering
Electrical Engineering
Deep Learning
Mathematics
Electrophysiology
Medical Science
Biosignal Processing
Computational Modelling
Physics
ML

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About this position

PhD Studentship at the University of Warwick, United Kingdom

This PhD project focuses on machine learning, computational modelling, and cardiac electrophysiology to identify abnormal heart tissue responsible for fatal heart rhythms, especially ventricular tachycardia (VT). The research is interdisciplinary and connects Warwick Medical School with the School of Engineering and Industry, using advanced quantitative methods to improve the targeting and effectiveness of VT ablation procedures.

The student will work with large-scale clinical datasets collected during VT ablation procedures at University Hospitals Coventry and Warwickshire NHS Trust. The project involves analysing thousands of electrograms (EGMs) recorded directly from human hearts and developing methods to extract clinically meaningful information from these signals. Possible methods include signal decomposition, feature extraction, time-frequency and spectral analysis, entropy-based metrics, graph representations of cardiac conduction, and supervised, unsupervised, and deep learning approaches.

This opportunity is well suited to candidates with backgrounds in artificial intelligence, machine learning, computer science, data science, computational modelling, engineering, mathematics, or physics. The project offers a collaborative environment with clinicians, engineers, mathematicians, and computer scientists, plus access to unique clinical datasets and state-of-the-art mapping technologies.

Funding: UK (home) tuition fees plus an annual stipend at the UKRI rate of £21,805 (2026/2027), for 3.5 years of full-time study, and a one-off research training grant.

Deadline: 30 September 2026.

How to apply: Use the jobs.ac.uk application link provided in the post and submit your application before the deadline.

Funding details

The award covers UK (home) tuition fees plus an annual stipend at the UKRI rate of £21,805 for 2026/2027, for 3.5 years of full-time study, and includes a one-off research training grant.

What's required

Applicants should have a background in artificial intelligence or machine learning, computer science, data science or computational modelling, engineering, mathematics or applied mathematics, or physics. The project is interdisciplinary and suited to candidates interested in biomedical signal processing and clinical electrophysiology.

How to apply

Apply via the jobs.ac.uk application page linked in the post. Review the project details and submit your application through the external portal before the deadline.

More information can be found here

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