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Leo van Houten
Closing soon
3 days ago
PhD in Data- and AI-based Solutions to Improve Child Health and Outcomes Through Housing Eindhoven University of Technology in Netherlands
Degree Level
PhD
Field of study
Computer Science
Funding
Four-year PhD employment with salary scale P (€3,204–€4,051 gross base salary per month for full-time), plus 8% holiday allowance and 8.3% year-end bonus.
Deadline
Nov 15, 2026
Country
Netherlands
University
Eindhoven University of Technology
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Keywords
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About this position
This PhD project at Eindhoven University of Technology focuses on using data science, artificial intelligence, and advanced analytics to understand and improve how housing conditions affect children’s health and development. The research asks how inadequate insulation, heating, and ventilation during pregnancy and early childhood shape health outcomes, which housing upgrades offer the greatest benefits, and how behavioural modelling and AI can support healthier, more equitable homes.
The successful candidate will work on transforming complex, unstructured housing and health data into predictive models, combining medical and behavioural insights with large-scale data analysis, computer vision, and advanced statistical methods. The output will contribute to a digital tool that can predict and optimise the impact of housing improvements across different scenarios, supporting housing providers and municipalities in creating healthier and more resilient homes for families.
The project is embedded in the NWO-funded research programme Homes for Upcoming Generations, which brings together social scientists, medical doctors, building engineers, and industry partners. At TU/e, the PhD candidate will join the internationally renowned Urban Systems and Real Estate group in the Department of the Built Environment, working at the intersection of urban systems, real estate, data science, and smart technologies.
The role includes collaboration with scientific partners at Erasmus Medical Centre, Erasmus University Rotterdam, and VU University Amsterdam, as well as societal partners such as housing providers, municipalities, and engineering bureaus. The position is part of a four-year program with advanced training, courses, seminars, and opportunities to present at international conferences.
Funding details
Four-year PhD employment with salary scale P (€3,204–€4,051 gross base salary per month for full-time), plus 8% holiday allowance and 8.3% year-end bonus.
What's required
Applicants should have an MSc degree in Exact or data sciences, quantitative economics, or engineering. A strong educational track record including several of the following subjects is expected: calculus, linear algebra, computational modelling, microeconomics, econometrics, operations research, and data science. Candidates should have proven experience programming in Python and working with big data, strong analytical skills, and proficiency in English (spoken and written). Experience at a European research institute or university is an advantage, and an affinity for collaboration with industry and for combining fundamental and applied research is desired.
How to apply
Apply via the AcademicTransfer application link. For more information about the application process, visit the TU/e website referenced in the advert. For questions about the role, contact Leo van Houten or Ioulia Ossokina by email.
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Professors
Associate Professor at Eindhoven University of Technology
Netherlands
Research Interests
Behavioral Economics
Landscape Architecture
Choice Experiment
Real Estate Economics
Social Housing
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Prepare your application
Review drafts and confirm requirements with the university.