Publisher
source

Vrije Universiteit Amsterdam

Postdoc in Causal Machine Learning and Reinforcement Learning Vrije Universiteit Amsterdam in Netherlands

Degree Level

Postdoc

Field of study

Computer Science

Funding

Paid postdoctoral appointment for 3 years at Vrije Universiteit Amsterdam. Salary is in accordance with university regulations for academic personnel, starting at €3,706 per month in the first year and increasing to €5,760 per month in the fourth year based on full-time employment. The position is 0.8 to 1.0 FTE and includes standard university benefits.

Deadline

Sep 27, 2026

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Country

Netherlands

University

Vrije Universiteit Amsterdam

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Keywords

Computer Science
Data Science
Biostatistics
Mathematics
Medical Science
Reinforcement Learning
Causal Inference
Salud Pública
Elderly Care
Statistics
ML

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About this position

Vrije Universiteit Amsterdam is advertising a 3-year Postdoc in causal machine learning and reinforcement learning within the Faculty of Science, embedded in the Quantitative Data Analytics (QDA) group.

The research sits at the intersection of machine learning and statistics, with a focus on algorithmic improvements for causal inference and reinforcement learning. The work will be applied in health-related settings through two major projects: Stress in Action (NWO-funded) and MINMED (ZonMW-funded). These projects involve stress research using wearable data, ecological momentary assessments, questionnaires, and causal effects of interventions in elderly care from observational data.

The postdoc will collaborate with academic partners including Amsterdam UMC, Erasmus MC, and the University of Groningen, and will participate in the QDA group led by Mark Hoogendoorn, the Biostatistics group at Erasmus MC led by Dimitris Rizopoulos, and Laura Bringmann’s intensive longitudinal data lab at the University of Groningen.

Applicants should have a PhD in a relevant area, prior experience in machine learning or statistics, preferably with health applications, strong programming skills, and experience with PyTorch and/or TensorFlow. The role also includes publishing in top AI/ML conferences, contributing to project activities, and some teaching/supervision duties.

The position is based in Amsterdam, Netherlands. Salary is paid according to university scales, starting at €3,706/month in year one and rising to €5,760/month by year four on a full-time basis. The appointment is initially for 3 years.

Deadline: 27 September 2026. Apply through the vacancy portal with a CV and cover letter; email applications are not accepted.

Funding details

Paid postdoctoral appointment for 3 years at Vrije Universiteit Amsterdam. Salary is in accordance with university regulations for academic personnel, starting at €3,706 per month in the first year and increasing to €5,760 per month in the fourth year based on full-time employment. The position is 0.8 to 1.0 FTE and includes standard university benefits.

What's required

A PhD degree in a relevant area for machine learning and/or statistics is required. Candidates should have prior experience in machine learning, preferably with health-domain applications, supported by relevant publications. A strong record of computer programming is expected, with experience in PyTorch and/or TensorFlow. Applicants should be able to work independently and as part of a team; experience or expertise in causal inference and/or reinforcement learning is especially preferred, ideally with a solid background in statistics.

How to apply

Apply via the application button on the vacancy page and upload your CV and cover letter. Do not apply by email, as email applications will not be considered. Submit before 27 September 2026.

More information can be found here

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