University of Maastricht
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PhD in Medical Image Analysis and AI for Hemostasis Research Maastricht University in Netherlands
Degree Level
PhD
Field of study
Computer Science
Funding
One-year employment contract (1.0 FTE) with extension by three additional years upon satisfactory performance. Gross monthly salary is €3,204 to €4,051 based on 38 hours per week, plus 8% holiday allowance and an 8.3% year-end bonus.
Deadline
Sep 20, 2026
Country
Netherlands
University
University of Maastricht
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About this position
Maastricht University is advertising a PhD candidate position in medical image analysis and AI for hemostasis research in Maastricht, the Netherlands.
The project sits at the intersection of medical science, biomedical engineering, computer science, and data science. The successful candidate will develop AI solutions for automated analysis of microscopic and flow chamber images, with a focus on segmentation, quantification, and classification of thrombus formation under flow conditions. The work aims to improve the diagnosis of bleeding and coagulation disorders and to support clinically relevant hemostatic phenotyping.
You will work within the Department of Biochemistry at the Faculty of Health, Medicine and Life Sciences (FHML), in collaboration with the Cardiovascular Research Institute Maastricht (CARIM) and the Central Diagnostic Laboratory (CDL) of Maastricht UMC+. The role is embedded in a multidisciplinary team including researchers, laboratory analysts, clinical chemists, hematologists, data scientists, and IT specialists.
Key research tasks include reviewing the current semi-automated workflow, developing deep learning and self-supervised AI methods, automating large-scale image processing, validating models, and translating the pipeline into a robust high-throughput analysis method. The project may also extend to other biomedical datasets in hemostasis and thrombosis.
Applicants should have a completed Master's degree in a relevant field such as biomedical engineering, biomedical sciences, medicine, systems biology, clinical health sciences, clinical data science, or bioinformatics. Strong programming and data analysis skills are expected, and experience with Python, R, scikit-learn, TensorFlow, PyTorch, or medical image analysis is a plus. A strong interest in hemostasis, thrombosis, and laboratory medicine is important. Excellent English is required; Dutch is an advantage.
The position is offered as a one-year contract with extension by three years upon satisfactory performance. Salary is €3,204–€4,051 gross per month for a 38-hour week, plus holiday allowance and year-end bonus. The application deadline is 20 September 2026. Apply through the AcademicTransfer portal and submit a CV, motivation letter, and academic transcript.
Funding details
One-year employment contract (1.0 FTE) with extension by three additional years upon satisfactory performance. Gross monthly salary is €3,204 to €4,051 based on 38 hours per week, plus 8% holiday allowance and an 8.3% year-end bonus.
What's required
Completed Master's degree preferably in biomedical engineering, biomedical sciences, medicine, systems biology, clinical health sciences, (clinical) data science, bioinformatics, or a related discipline. Demonstrated affinity for data analysis and programming (e.g. Python or R) is expected, with experience in machine learning, deep learning (scikit-learn, TensorFlow, PyTorch), or medical image analysis considered a strong advantage. Applicants should have a clear interest in hemostasis, thrombosis, and laboratory medicine, excellent written and spoken English, and Dutch proficiency is a strong advantage. Independence, curiosity, proactivity, and ability to work in multidisciplinary teams are valued.
How to apply
Apply via the application button on the AcademicTransfer vacancy page. Include your CV, a brief motivation letter, and your academic transcript. For questions about the position, contact Judith Cosemans by email.
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