Postdoctoral Researcher - Cerebral Autoregulation & Biomedical Signal Processing

Welcome to Maastricht University!
The future of healthcare increasingly depends on the ability to translate complex data into meaningful clinical decisions. At Maastricht University and Maastricht UMC+, we bring together engineering, medicine and data science to tackle real-world healthcare challenges. In this position, you will contribute to research that has the potential to improve treatment strategies for patients with acute stroke and support more personalised care.

Postdoctoral Researcher – Cerebral Autoregulation & Biomedical Signal Processing

Our goal: To improve personalised blood pressure management in acute stroke patients through advanced signal-processing methods and innovative physiological modelling.
Your colleagues: You will join a multidisciplinary team of clinical physicists, neurologists, clinical neurophysiologists, engineers and data scientists, working together within Maastricht UMC+ and the Faculty of Health, Medicine and Life Sciences.

Within the PP CONTRAST project, we investigate how dynamic cerebral autoregulation can be used to optimise blood pressure management in patients with acute stroke. By combining advanced biomedical signal processing with clinical expertise, we aim to develop reliable and clinically applicable methods that support personalised treatment decisions.

As a postdoctoral researcher, you will take a leading role in the methodological development and validation of signal-processing techniques for dynamic cerebral autoregulation analysis. You will work with high-resolution physiological datasets that combine continuous blood pressure monitoring and transcranial Doppler ultrasound measurements from both stroke patients and healthy volunteers.
Your research will bridge engineering and clinical practice. Working closely with healthcare professionals and industry partners, you will translate technical findings into clinically relevant insights that can improve patient outcomes and support future innovations in stroke care.

What you do
In this role, you combine scientific leadership, methodological innovation and clinical relevance.
•    You develop and validate advanced signal-processing algorithms for dynamic cerebral autoregulation analysis. 
•    You investigate how measurement duration and analysis strategies influence the reliability of personalised blood pressure estimates. 
•    You analyse and interpret multimodal physiological datasets. 
•    You translate technical results into clinically meaningful applications and recommendations. 
•    You publish findings in international peer-reviewed journals and present your work at scientific conferences. 
•    You supervise MSc students and support their research development. 
•    You contribute to ongoing and future grant proposals and research initiatives. 

Are you ready to help shape the future of personalised stroke care? Then we would love to meet you.

What you bring
It is not about ticking boxes; it is about your curiosity, expertise and motivation to make an impact. Do you recognise yourself in this profile?
Within our team, collaboration, innovation and scientific excellence are central. We are looking for someone who enjoys solving complex challenges, takes ownership of their work and is motivated by research that directly contributes to better healthcare.

•    Analytical and research-driven – You enjoy translating complex datasets into meaningful scientific insights.
•    Independent and proactive – You take initiative, organise your work effectively and enjoy driving projects forward.
•    Collaborative by nature – You communicate easily with researchers, clinicians and technical specialists from different disciplines.
•    Strong technical expertise – You have extensive experience with biomedical signal processing and quantitative data analysis.
•    Scientifically engaged – You enjoy publishing your work, presenting results and contributing to the wider scientific community.

In addition, you bring:
•    A PhD degree in Biomedical Engineering, Medical Engineering, Applied Physics or a related discipline. 
•    Proven expertise in biomedical signal processing and physiological data analysis. 
•    Strong programming skills, for example in MATLAB, Python or comparable environments. 
•    Experience with analysing physiological signals. 
•    Affinity with clinical and translational research. 
•    Experience with scientific writing and publishing. 
•    Excellent communication skills in English and Dutch are necessary due to the contact with patients. 

What we offer 
At Maastricht University, you’ll work in an international, open, and engaged environment. We offer:

• An employment contract for 25 months (1.0 FTE). 
• A gross monthly salary between €3546,00 and €5538,00 (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 the Department of Clinical Neurophysiology
The Department of Clinical Neurophysiology combines clinical expertise with innovative research to improve diagnosis, monitoring and treatment of neurological disorders. Researchers and clinicians work closely together on projects that bridge technology and patient care, creating an ideal environment for translational research and innovation.

Interested?

Would you like to know more about this position or working at Maastricht University?
Please contact Dr. ir. Erik Gommer via erik.gommer@maastrichtuniversity.nl for additional information.

Ready to apply? We look forward to receiving your application.
The application deadline is 26 June 2026. First interviews are expected in the first half of July. 

Apply now via the button below. We look forward to getting to know you!

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.