Biomedical Signal Interpretation and Computational Simulation (BSICoS) group, Aragón Institute of Engineering Research (I3A)
Organisation/Company University of Zaragoza Department Biomedical Signal Interpretation and Computational Simulation (BSICoS) group, Aragón Institute of Engineering Research (I3A) Research Field Engineering » Biomedical engineering Computer science » Modelling tools Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 30 Sep 2026 - 23:59 (Europe/Brussels) Country Spain Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Horizon Europe - MSCA Marie Curie Grant Agreement Number Is the Job related to staff position within a Research Infrastructure? No
Offer Description
Project Description
Genetic cardiomyopathies are an important cause of life-threatening ventricular arrhythmias and sudden cardiac death. However,



marked variability in cardiac structure and electrophysiology makes it difficult to identify which patients are at greatest risk and would benefit from early, targeted preventive treatment.
This PhD project will develop personalised approaches for arrhythmic risk stratification by integrating advanced signal processing, cardiac imaging and patient-specific digital twins. The candidate will combine electrocardiograms, cardiac magnetic resonance imaging and non-invasive electrocardiographic imaging to investigate how structural and electrical abnormalities interact to create arrhythmogenic substrates.
These multimodal data will be used to build personalised ventricular digital twins that reproduce individual cardiac electrical behaviour, explore arrhythmic mechanisms that cannot be directly observed clinically and derive novel digital biomarkers. Virtual populations of digital twins will support the development of multivariable risk models integrating electrophysiological, anatomical and imaging-derived features.
The project will use datasets

📌 CDTnet PhD Fellowship: Signal Analysis and Computational Models for Arrhythmic Risk Stratification in Cardiomyopathies (España)
🏢 UNIVERSITY OF ZARAGOZA
📍 España