Fully-funded PhD Position in Physics-based ML for Cardiac Electrophysiology

Apply for a fully-funded PhD position in physics-based ML for cardiac electrophysiology at the University of Sussex, UK. Collaborate with industry partner Abbott to advance mechanistic understanding of atrial fibrillation.

Apply now for a fully-funded PhD position at the University of Sussex, UK. This collaborative studentship, funded by the EPSRC Doctoral Landscape Award, aims to advance mechanistic understanding of atrial fibrillation through analytical and physics-based machine learning.

Atrial fibrillation is a complex heart rhythm disorder, and this project seeks to bridge the gap in understanding its causes by combining advanced machine learning tools with a new experimental protocol. The project involves a collaboration between the University of Sussex, University Hospitals Sussex, and industry partner Abbott.

• Develop advanced machine learning tools to analyze cardiac electrophysiology data
• Collaborate with industry partner Abbott to develop a new experimental protocol
• Collect data from both layers of the heart to better understand atrial fibrillation

Apply by 14/02/2025 and email here for full details and application guidance.

Tags: fully-funded PhD position, physics-based machine learning, cardiac electrophysiology, atrial fibrillation, University of Sussex, EPSRC Doctoral Landscape Award, collaborative studentship, Abbott