At the Department of Physiology within the Cardiovascular Research Institute Maastricht (CARIM) at Maastricht University, we have a vacancy for a postdoctoral researcher in the field of artificial intelligence, applied to the analysis of cardiac arrhythmias, specifically atrial fibrillation (AF).
As part of the EU-funded Horizon 2020 project MAESTRIA (Machine Learning and Artificial intelligence for Early detection of Stroke and Atrial Fibrillation) we aim to develop novel ways to detect atrial fibrillation and to identify novel therapeutic targets to personalize AF management, by integrating data from various sources. In Maastricht, we particularly focus on determining electrophysiological parameters as biomarkers to rigorously determine the complexity and progression of human AF from early to advanced stages of atrial remodeling. Tasks include the automated detection of AF in various types of electrocardiograms (ECG), the prediction of AF treatment outcome based on clinical patient characteristics and advanced ECG features, and the identification of driving electrical conduction mechanisms of AF in electro-anatomical mapping data.
The postdoctoral researcher will be responsible for the development and implementation of appropriate techniques from the field of artificial intelligence to train, test and validate models for these tasks, ranging from multimodal prediction models to models for pattern recognition, using for instance a deep learning approach. You will work in close collaboration with your supervisors, other postdocs and PhD candidates in a joint, multidisciplinary effort to integrate large amounts of electrophysiological data into state-of-the-art computational tools for personalized AF management.
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