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University of Maastricht

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Postdoc in Data Science and Artificial Intelligence for Cardiac Electrophysiology Maastricht University in Netherlands

Degree Level

Postdoc

Field of study

Computer Science

Funding

Full funding available

Deadline

Sep 15, 2026

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Country

Netherlands

University

University of Maastricht

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Keywords

Computer Science
Data Science
Biomedical Engineering
Electrical Engineering
Deep Learning
Biology
Artificial Intelligence
Electrophysiology
Medical Science
Atrial Fibrillation
Artificial Neural Network
ML

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About this position

Maastricht University is recruiting a Postdoc in Data Science and Artificial Intelligence in Cardiac Electrophysiology within the Department of Physiology at the Cardiovascular Research Institute Maastricht (CARIM), in collaboration with the AF-B-STEP Innovative Health Initiative project.

The project focuses on developing multimodal prediction models for atrial fibrillation (AF) and other clinically relevant cardiac rhythm patterns. Research topics include machine learning, deep learning, artificial neural networks, transformer-based analysis, representation learning, unsupervised learning, automated data harmonisation, AI-assisted signal analysis, and clustering of AF burden phenotypes.

You will work with large-scale multimodal cardiovascular data such as electrocardiograms, cardiac device recordings, wearable sensor data, clinical trial data, electronic health records, and patient-reported outcomes. The role is highly interdisciplinary and involves collaboration with clinicians, AI researchers, statisticians, and industrial partners.

Applicants should have completed a PhD in data science and/or artificial intelligence, with experience applying AI to biomedical signals. Strong scientific writing skills in English are expected, and familiarity with computational cardiac electrophysiology and cardiac measurement modalities is an advantage.

The position is based at Maastricht University in Maastricht, Netherlands. It is a postdoctoral employment opportunity for 3 years, with an initial 12-month contract at 1.0 FTE and possible extension until 31 December 2029. Salary ranges from €3,706 to €5,760 gross per month, plus holiday allowance and year-end bonus.

Apply through the AcademicTransfer application button before 15 September 2026. For more information, contact Prof. Dr. Ulrich Schotten at [email protected].

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.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

More information can be found here

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