Summary:
Vrije Universiteit Amsterdam is seeking a passionate and skilled Postdoctoral researcher to explore the intersection of machine learning and statistics. This position focuses on enhancing statistical methods through advanced machine learning techniques to apply to real-life stress data.
Postdoc in Machine Learning and Statistics, Amsterdam, Netherlands
Designation
Postdoctoral Researcher
| Details | Information |
|---|---|
| Title | Postdoc in Machine Learning and Statistics |
| Research Area | Machine Learning, Statistics, Health Applications |
| Location | Amsterdam, Netherlands |
| Eligibility/Qualifications | PhD in relevant area, programming experience in PyTorch/TensorFlow |
| Last Date to Apply | April 19, 2026 |
Job Description
The Postdoc position is embedded in the ten-year NWO-funded “Stress in Action” project. Responsibilities include:
- Conducting research in machine learning, with publication in top conferences.
- Collaborating with academic partners such as Erasmus MC and the University of Groningen.
- Contributing to teaching activities and possibly supervising undergraduate and master’s students (20% of the time).
Eligibility/Qualifications
- PhD degree in Machine Learning, Statistics, or a related field.
- Proven experience in machine learning and statistics, preferably in health applications demonstrated by relevant publications.
- Strong programming skills, specifically in PyTorch and/or TensorFlow.
- Ability to work independently and in team settings.
How to Apply
Interested candidates who fulfill the criteria are encouraged to submit their application online through the Vrije Universiteit Amsterdam’s careers portal. Please ensure to include a resume and all relevant documents.
For further details, please reach out to Mark Hoogendoorn, Full Professor.
Note: Applications received via email will not be considered.
