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
The position is fully funded for 3.5 years, including a tax-free annual stipend of £20,780 (2025/26 rate) and coverage of full international or UK PhD tuition fees. Additional funding is available for training, research expenses, and a possible 3-month placement outside academia. Funding is provided by the UK Engineering and Physical Sciences Research Council (EPSRC).
Deadline
Jun 16, 2026
Country
United Kingdom
University
University of Sussex
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About this position
Funding details
The position is fully funded for 3.5 years, including a tax-free annual stipend of £20,780 (2025/26 rate) and coverage of full international or UK PhD tuition fees. Additional funding is available for training, research expenses, and a possible 3-month placement outside academia. Funding is provided by the UK Engineering and Physical Sciences Research Council (EPSRC).
What's required
Applicants should 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 partial differential equations and optimization) and/or machine learning (especially applied to spatiotemporal data) is required. No prior medical background is necessary. Applicants must meet the University of Sussex English language requirements. International and UK applicants are eligible, but international awards are limited per EPSRC regulations. Submission of degree certificates, transcripts, CV, and English language qualifications (if applicable) is required.
How to apply
Contact Professor Luc Berthouze to discuss the project and your application. Apply for the PhD course in Informatics at 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. For application queries, email [email protected].
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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