[DL] PhD student in Machine Learning @ Vrije Universiteit Amsterdam

[Hoogendoorn, M. (Mark)]

At the Department of Computer Science of the Vrije Universiteit Amsterdam we have a fully funded PhD student position available in the area of Machine Learning. The application deadline is September 19th 2025. Please find a brief description of the positions below, including a link to a more detailed vacancy description.

PhD Student in Machine Learning

We are looking for a highly motivated PhD candidate who will do research in the area of machine learning (ML) and in fairness applications. The candidate will join the interdisciplinary NWO funded research project DESTRESS (Detecting Signals of Stress for Resilient Societies), which brings together academic, clinical, and applied partners to develop tools for early stress detection and the promotion of resilience. The project addresses the growing societal challenge of work-related stress and mental health, with a strong emphasis on ethical technological development.

As part of the Quantitative Data Analytics (QDA) group in the Department of Computer Science, your research will focus on developing machine learning models for stress detection that are robust, reliable, and applicable across diverse populations and real-world contexts. You will address challenges such as limited and noisy data, while ensuring that key aspects like fairness and transparency are also incorporated. Your work will contribute to the design, validation, and evaluation of models that are both scientifically sound and socially responsible, supporting the broader goal of creating impactful, trustworthy AI systems.

Fairness in AI is a key concern in health-related technologies, especially when models are deployed in real-world settings involving diverse users and sensitive outcomes. You will work across disciplinary boundaries, collaborating with experts in behavioral science and healthcare, and help ensure that fairness considerations are integrated throughout the model development lifecycle. The project offers a unique opportunity to conduct theoretically grounded, application-oriented research with real societal impact, and to help shape how fairness is conceptualized and implemented in the domain of mental health and well-being.

For more details, see: https://workingat.vu.nl/vacancies/phd-student-in-machine-learning-amsterdam-1193583<https://workingat.vu.nl/ad/phd-student-in-machine-learning/pfrlm0>

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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