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Luc Berthouze
11 months ago
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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 availableDeadline
Jun 16, 2026
Country
United Kingdom
University
University of Sussex

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Keywords
Computer Science
Biomedical Engineering
Mathematics
Health Science
Electrophysiology
Atrial Fibrillation
Clinical Data
Spatiotemporal Analysis
Physics
Machine learning
About this position
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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?? 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