Delft University of Technology
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6 days ago
Postdoc in Bayesian Methodology for Predicting Performance of New Implantable Medical Devices Delft University of Technology in Netherlands
Degree Level
Postdoc
Field of study
Computer Science
Funding
Postdoc position for 3 years, temporary, 36–40 hours per week. Salary and benefits follow the Collective Labour Agreement for Dutch Universities; salary range €3706–€5760. The project is EU-funded (COMPASS4MD, Horizon Europe).
Deadline
Nov 1, 2026
Country
Netherlands
University
Delft University of Technology

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About this position
Postdoc opportunity at Delft University of Technology (TU Delft) in the Faculty of Technology, Policy & Management, focused on Bayesian statistics, medical devices, clinical evidence, real-world evidence, and regulatory decision-making.
The project is part of the European COMPASS4MD consortium (Horizon Europe) and aims to develop Bayesian methodology for bridging studies that predict the performance of new implantable medical device variants using historical data, benchmark tests, literature, and real-world evidence. The work also connects to the idea of a digital twin for medical device safety and evidence generation.
Applicants should have a methodologically oriented PhD in a relevant area such as Epidemiology, Health Sciences, Technical Medicine, Medical Statistics, Data Science, Safety Science, or Biomedical Engineering. Strong experience in Bayesian inference/networks, statistics and probability, academic writing, and presentation is expected. English proficiency is required; Dutch is optional but preferred.
The position is 3 years, temporary, 36–40 hours per week, with salary and benefits according to the Dutch university collective agreement. The salary range listed is €3706–€5760. The project is EU-funded, but this is a postdoc job rather than a scholarship.
Apply online by 1 November 2026. Submit a CV, a one-page cover letter, and a writing sample. The contact person is Dr. Amir Pooyan Afghari at TU Delft.
Funding details
Postdoc position for 3 years, temporary, 36–40 hours per week. Salary and benefits follow the Collective Labour Agreement for Dutch Universities; salary range €3706–€5760. The project is EU-funded (COMPASS4MD, Horizon Europe).
What's required
A methodologically oriented PhD degree in Epidemiology, Health Sciences, (Technical) Medicine, Medical Statistics, Data Science, Safety Science, Biomedical Engineering, or a related field is required. Candidates should have demonstrated experience in Bayesian inference/networks, familiarity with statistics and probability theory, excellent research, academic writing and presentation skills with journal and/or conference publications, the ability to work independently and in a team, and a high level of English proficiency. Dutch is optional but preferred. Experience with advanced statistical methods, econometric methods, Monte Carlo simulation, and collaborative research projects is desirable.
How to apply
Apply online via the application button by 1 November 2026. Upload a CV, a one-page cover letter, and an example of your writing. Address the application to Dr. Amir Pooyan Afghari; do not send applications by email or post.
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