Postdoc Position Data Science and Artificial Intelligence in Cardiac Electrophysiology - Baandomein

Baandomein; Maastricht; On-site; EUR 41,000 - 64,000; Full time

Benefits offered by this job

12-month contract, 1.0 FTE

Holiday allowance 8%

Year-end bonus 8.3%

29 vacation days (with extra days)

Home office allowance

Job summary

Maastricht University seeks a postdoctoral researcher in Data Science and Artificial Intelligence for cardiac electrophysiology. The project focuses on multimodal data including ECGs, device recordings, wearables, clinical trials and EHRs to build precision medicine tools.

You will develop advanced ML methods and work with clinicians and industry partners. The role is a fixed three-year contract within CARIM and the Cardiovascular Research Institute Maastricht, offering a dynamic, international

Qualifications

• PhD in data science and/or artificial intelligence completed.
• Knowledge of machine learning techniques, neural networks and deep learning.
• Experience applying data science/AI to biomedical signals.

Responsibilities

• AI-assisted signal analysis and transformer-based analysis of clinical data.
• Automated data harmonisation and clustering of AF burden phenotypes.
• Develop multimodal prediction models for disease progression and treatment response.
• Develop, implement and validate state-of-the-art ML methods across datasets.
• Collaborate with clinicians, AI researchers, statisticians and industry partners.

Skills

Neural networks

Deep learning

AI research

Biomedical signals

Education

PhD in data science or AI

Job description

Postdoc Position Data Science and Artificial Intelligence in Cardiac Electrophysiology

You just finished your PhD trajectory and looking for the next step in your academic career? Your interests lie in the field of machine learning techniques, particularly artificial neural networks, and deep learning? And you would like to continue your research on clinically relevant topics? If yes, then Maastricht University has a new challenge for you!

• Our goal: the development of multimodal prediction models to detect and predict atrial fibrillation (AF) and other clinically relevant cardiac rhythm patterns, predict disease progression and treatment response, and support personalised AF management.
• Your colleagues: The Department of Physiology at Maastricht University is a key academic partner in AF-B-STEP, contributing expertise in AF burden quantification, AI-based rhythm analysis, and digital biomarkers. The department has a strong data science environment, with an additional team of three to four data scientists working across related cardiovascular research projects. As part of the Innovative Health Initiative (IHI) project AF-B-STEP (Quantifying Atrial Fibrillation Burden to inform Screening, Treatment, and hEalth Policy, https://afbstep.eu/), we aim to establish atrial fibrillation (AF) burden as a novel biomarker for precision medicine. AF-B-STEP brings together leading academic institutions, medical device manufacturers, pharmaceutical companies and wearable technology developers to integrate and analyse one of the world's largest collections of AF burden data, comprising more than 400,000 individuals and 200,000 patient-years of linked clinical outcome data.

For this project, the Department of Physiology at the Cardiovascular Research Institute Maastricht (CARIM) has a vacancy for a postdoctoral researcher in Data Science and Artificial Intelligence. In this position you will develop advanced computational methods for the analysis of large-scale multimodal cardiovascular data, including electrocardiograms, cardiac device recordings, wearable sensor data, clinical trial data, electronic health records and patient-reported outcomes.

What you do

Research activities will include AI-assisted signal analysis, transformer-based analysis of structured and unstructured clinical data, automated data harmonisation, clustering of AF burden phenotypes, and the development of multimodal prediction models to identify clinically relevant disease patterns, predict disease progression and treatment response, and support personalised AF management.

The postdoctoral researcher will develop, implement and validate state-of-the-­art machine learning methods, ranging from deep learning and transformer architectures to unsupervised learning and representation learning approaches. You will work in close collaboration with clinicians, AI researchers, statisticians, and industrial partners in a highly interdisciplinary consortium, translating large‑scale cardiovascular data into clinically applicable tools for precision medicine.

Are you ready to set the course for the years ahead? Then we’d love to meet you.

What you bring

We’re not looking for checkboxes; we’re interested in who you are and what you bring. Do you recognize yourself in this?

• You have completed a PhD in data science and/or artificial intelligence.
• You have gained knowledge of various machine learning techniques, particularly artificial neural networks and deep learning and would like to further develop this knowledge.
• In previous roles you have worked with the application of data science and artificial intelligence in the context of biomedical signals.
• You enjoy the process of conceiving and writing papers (in English) and have the ambition to produce high quality research outcomes.
• Familiarity with concepts from the field of computational cardiac electrophysiology and cardiac measurement modalities is considered an advantage.

What we offer

At Maastricht University, you’ll work in an international, open, and engaged environment.

We offer an interdisciplinary and collaborative postdoc project embedded into a highly international institute, which is one of the leading research institutions in the field of cardiac electrophysiology. The position is temporary for the duration of 3 years.

• A 12-month contract (1.0 FTE) with the possibility of extension for the duration of the project (until 31 December 2029).
• A gross monthly salary between € 3.706 and € 5.760 (based on full-time employment of 38 hours per week). 8% holiday allowance and an 8.3% year-end bonus.
• 29 vacation days (based on full-time), four additional days off (Carnival Monday and Tuesday, Good Friday, and Liberation Day), and the possibility to accrue up to 12 extra days through compensation hours.
• Flexible working hours, a home office allowance, and the option to work from home.
• Freedom and space to shape your work independently and develop your ideas.
• A close-knit community of colleagues to collaborate and grow with.
• A solid pension plan via ABP, company fitness schemes, and access to various university sports facilities.
• An inspiring work environment in the heart of Europe.

About the Faculty of Health, Medicine and Life Sciences (FHML)

FHML is committed to health in the broadest sense: from molecule to human, and from healthcare to prevention. We train healthcare professionals and researchers through innovative educational programmes and conduct groundbreaking research in health and well‑being. As part of Maastricht UMC+ (MUMC+), our international and interdisciplinary community forms a unique collaboration between university and academic hospital, where education, research, and care come together.

About CARIM

CARIM offers a very broad range of facilities covering the entire field of translational cardiovascular research and many internship opportunities, taking advantage of its connection with a large academic hospital. CARIM has an open and dynamic work culture in which talented and ambitious young people work side by side with renowned researchers and medical specialists. CARIM is an active research institute that enables its employees and provides support, such as assistance with applications for research grants and funding, a talent development programme and a Research Council, that reviews project proposals before they are submitted. CARIM provides a dynamic, critical learning environment, which proves to be fertile ground for top achievements in the field of cardiovascular research.

About Maastricht University

At Maastricht University, we collaboratively seek solutions to help move the world forward. We do this with 23,300 students and 5,400 employees across 5 regional locations, 6 faculties, and more than 70 research institutes. We encourage you to push boundaries and discover new opportunities for yourself and the world around you. Together, we can find the answers for tomorrow.

The vacancy is open for internal and external candidates. In case of equal qualifications, internal candidates will be prioritized.

At Maastricht University, we prefer to contact potential candidates directly. We therefore kindly ask that no agencies or intermediaries submit offers or approaches.

Maastricht University is committed to promoting and nurturing a diverse and inclusive community. We believe that diversity in our staff and student population contributes to the quality of research and education at UM, and strive to enable this through inclusive policies and innovative projects led by teams of staff and students. We encourage you to apply for this position.