About the opportunity
This four-year PhD position is based in the Urban Systems and Real Estate group at the Department of the Built Environment. The research focuses on the intersection of housing, public health, climate adaptation, and social equity. The successful candidate will use large-scale data analysis, computer vision, and advanced statistical methods to transform complex housing and health data into predictive models. These models will inform a digital tool designed to help housing providers and municipalities create healthier, more resilient homes. The role involves interdisciplinary collaboration with partners such as Erasmus Medical Centre, Erasmus University Rotterdam, and VU University Amsterdam, as well as industry stakeholders.
Salary and benefits
- Full-time employment for four years with a gross monthly salary between €3,204 and €4,051 (Scale P).
- 8% holiday allowance and 8.3% year-end bonus.
- Generous leave options (29 to 41 days per year).
- Participation in the ABP pension scheme with 70% employer contribution.
- Access to high-quality training programs and professional development support.
- On-campus facilities including children's day care and a student sports center.
- Wellbeing support via 24/7 access to OpenUp.
- Commuting, working-from-home, and internet cost allowances.
- Support from a Staff Immigration Team and access to a tax compensation scheme for international candidates.
Who can apply?
- MSc degree in exact sciences, data sciences, quantitative economics, or engineering.
- Strong educational track record in subjects such as calculus, linear algebra, computational modelling, microeconomics, econometrics, operations research, or data science.
- Proven experience programming in Python and working with big data.
- Strong analytical skills and proficiency in English (spoken and written).
- Affinity for collaborating with industry and bridging fundamental and applied research.
- Working experience at a European research institute or university is considered an advantage.
Required documents
- Cover letter describing motivation and qualifications.
- Curriculum vitae including a list of publications.
- Contact information for three references.
When to apply
- Applications are accepted until the position is filled.
- The official last application date is 2026-11-15.
How to apply
- Submit the application online via the official portal using the apply button.
- Ensure all requested documents are included as priority is given to complete applications.
- Notify references that they may be contacted during the recruitment process.
Additional information
- The position includes a minimum of 10% and a maximum of 15% of time dedicated to teaching tasks per year.
- An intermediate assessment will take place after nine months.
- A pre-employment screening, including a knowledge security check, may be part of the selection procedure.
- Applications sent by email or post will not be processed.
Our Take on This Opportunity
This section reflects Open Opportunities’ own analysis of the opportunity from an applicant’s perspective.
You may be a strong fit if…
- Ideal for candidates with a quantitative background who want to apply data science and AI to tangible societal challenges like public health and housing.
- Strong fit for researchers who enjoy interdisciplinary work and collaborating with medical, social science, and industry partners.
- Excellent opportunity for those seeking a structured PhD program with dedicated professional development and teaching experience.
What should you think carefully about?
- The role requires a commitment to a four-year, full-time contract, including mandatory teaching responsibilities.
- Applicants should be prepared for a rigorous selection process that may include a knowledge security check.
- While the university provides support for international staff, candidates should consider the practicalities of relocating to the Brainport Eindhoven region.
How could this fit your current goals and plans?
This position is a significant career step for an early-career researcher aiming to build expertise in urban systems and data-driven health policy. It offers a unique blend of academic research and practical application, providing the candidate with a robust network across both top-tier Dutch universities and industry partners, which is highly valuable for future roles in either academia or the high-tech sector.
Our take
This is a highly attractive opportunity for quantitative researchers passionate about social impact. Candidates with strong Python skills and an interest in the intersection of data science and public health should apply, especially those looking for a well-supported, long-term research position in a leading European tech hub.
Ready to apply?
Review the opportunity on the official website before applying.
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