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Mark Hoogendoorn

Full Professor of Artificial Intelligence

Vrije Universiteit Amsterdam

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Netherlands

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Research Interests

Statistics

10%

Artificial Intelligence

10%

Quantitative Analysis

10%

Machine Learning

10%

Computer Science

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Data Science

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Positions1

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Mark Hoogendoorn

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Vrije Universiteit Amsterdam

Postdoctoral Position in Artificial Intelligence, Machine Learning, and Statistics for Stress Prediction

A postdoctoral position is available within the Stress in Action project at Vrije Universiteit Amsterdam, focusing on the development of advanced artificial intelligence and statistical methods for predicting and understanding stress in real-life contexts. The successful candidate will join a collaborative team, working jointly with the Quantitative Data Analytics Group and the groups led by Dimitris Rizopoulos and Laura Bringmann. The research will involve both fundamental methodological innovation and application to health-related data, with Amsterdam as the central location. Key research areas include artificial intelligence, machine learning, statistics, and health data science, with a particular emphasis on stress prediction and quantitative analytics. The position offers the opportunity to contribute to cutting-edge research at the intersection of AI and health, supported by a vibrant academic environment at Vrije Universiteit Amsterdam. The appointment is for three years and is fully funded. Applicants should hold a PhD in computer science, statistics, artificial intelligence, or a closely related discipline, and demonstrate experience in developing AI and statistical methods. Strong programming skills and an interest in interdisciplinary research are highly valued. The position is ideal for candidates seeking to advance their expertise in both methodological development and impactful real-world applications. For more information and to apply, visit the official vacancy page at Vrije Universiteit Amsterdam. The application process requires submission of a CV and cover letter, with further details available on the university's website.