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Luc Berthouze

11 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

Full funding available

Deadline

Jun 16, 2026

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Country

United Kingdom

University

University of Sussex

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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

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

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