Publisher
source

Luc Berthouze

6 months ago

Advancing mechanistic understanding of atrial fibrillation through analytical and physics-based machine learning University of Sussex in United Kingdom

Degree Level

PhD

Field of study

Computer Science

Funding

3.5 years fully funded PhD studentship, including a tax-free annual stipend of £20,780 (2024/25 rate), full international or UK tuition fees, funding for training and research expenses, and an optional 3-month placement outside academia. Additional support for conference trips and experimental costs is provided.

Deadline

Jun 16, 2026

Country flag

Country

United Kingdom

University

University of Sussex

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Where to contact

Official Email

Keywords

Computer Science
Biomedical Engineering
Information Technology
Mathematics
Medical Technology
Health Science
Electrophysiology
Atrial Fibrillation
Clinical Data
Physics
Machine learning

About this position

?? PhD in Machine Learning & Cardiac Electrophysiology

?? University of Sussex, UK

?? Application Deadline: 16 June 2025 | ?? Start Date: Autumn 2025

?? Funding: 3.5 years fully funded
— Annual stipend (£20,780 in 2024/25)
— Full international or UK tuition fees

Project Title: EPSRC Collaborative Studentship – Advancing mechanistic understanding of atrial fibrillation through analytical and physics-based machine learning
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Why this matters:

Atrial fibrillation (AF) is the most common heart rhythm disorder, yet its multi-layered complexity is poorly understood. This pioneering PhD bridges machine learning, cardiac physics, and clinical data — a first-of-its-kind opportunity to revolutionize how AF is diagnosed and treated.


Who should apply:

Graduates with at least a 2:1 in a relevant subject

Strong background in maths/physics (PDEs, optimisation) and/or machine learning

No prior medical background required


?? To apply or inquire:

?? Project contact: [email protected]

?? Application queries: [email protected]

?? Apply here: https://lnkd.in/emgEQBCA

PhDOpportunity MachineLearning CardiacResearch Physics BiomedicalEngineering HealthTech EPSRCfunded DoctoralResearch UniversityOfSussex AIFuture HeartHealth

Funding details

3.5 years fully funded PhD studentship, including a tax-free annual stipend of £20,780 (2024/25 rate), full international or UK tuition fees, funding for training and research expenses, and an optional 3-month placement outside academia. Additional support for conference trips and experimental costs is provided.

What's required

Applicants must have or expect to have at least a 2:1 undergraduate honours degree in a relevant subject. A strong background in physics and/or mathematics (such as PDEs and optimization) and/or machine learning (especially applied to spatiotemporal data) is required. No prior medical background is necessary. Applicants must meet University of Sussex English language requirements. International and UK applicants are eligible, but international awards are limited per EPSRC regulations. Diversity and contextual information statements are encouraged but optional.

How to apply

Contact Professor Luc Berthouze to discuss the project and your application. Apply for the PhD course in Informatics at University of Sussex using the online application system. List Luc Berthouze as your preferred supervisor and enter 'EPSRC iCASE 2025' in the funding box. Complete and upload the EPSRC application form and other required documents.

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