[DL] PostDoc in Causal Machine Learning and Reinforcement Learning (3 years) @ Vrije Universiteit Amsterdam

[Hoogendoorn, M. (Mark)]

Dear all,

We have a 3-year PostDoc position in the area of Causal Machine Learning and Reinforcement Learning at the Vrije Universiteit Amsterdam.

The position focuses both on fundamental contributions in those areas, but also applications in healthcare. More specifically, the position is embedded in two projects which act as application domains. First of all, the ten-year gravitation grant Stress in Action, funded through NWO (Dutch National Science Foundation). The goal of the project is to move stress research from the lab into daily life, and hence, the use cases of the methodological innovations will focus on applications to stress-related data, such as wearables, ecological momentary assessments, and other types of questionnaires. Secondly, the ZonMW funded MINMED project which aims to unlock causal effects of interventions in elderly care from observational data.

A variety of academic partners are involved in the two projects, including Vrije Universiteit Amsterdam, Amsterdam UMC, Erasmus MC, University of Twente, University of Groningen, UMC Groningen, and Utrecht University. The position is embedded in the Quantitative Data Analytics (QDA) group of the VU in close collaboration with the Amsterdam UMC, Erasmus MC and the University of Groningen. The QDA group focuses on both fundamental and application-driven research in ML.

For more information please follow the link below, the application deadline is 27 September 2026.

https://workingat.vu.nl/vacancies/postdoc-in-causal-machine-learning-and-reinforcement-learning-3-years-amsterdam-1274527

Best regards,

Mark
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Mark Hoogendoorn

Full Professor of Artificial Intelligence
Chair Quantitative Data Analytics Group

Vrije Universiteit Amsterdam
Faculty of Science, Department of Computer Science
T +31 20 59 87772
E m.hoogendoorn at vu.nl<mailto:m.hoogendoorn at vu.nl> | URL  www.cs.vu.nl/~mhoogen/<http://www.cs.vu.nl/~mhoogen/>
MAILING ADDRESS: De Boelelaan 1111, 1081 HV Amsterdam
VISITING ADDRESS: NU-10A87

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