Your Twin learns with you

30% off annual Pro20% off monthly Pro

Ends in00h00m00s

Publisher
source

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 flag

Country

Netherlands

University

Eindhoven University of Technology

Apply for this position

Keywords

Computer Science
Data Science
Environmental Science
Predictive Modeling
Artificial Intelligence
Civil Engineering
Computer Vision
Real Estate
Salud Pública
Big Data
Social Equity
Climate Resilience
Economics
Statistics

Suggested positions

Publisher
source

Eindhoven University of Technology

Country flag

Netherlands

PhD opportunity at Eindhoven University of Technology (TU/e) in the Department of Built Environment, focused on data science, artificial intelligence, housing, child health, public health, and urban systems . The project investigates how poor housing conditions during pregnancy and early childhood affect children’s health and development, and how housing upgrades can improve outcomes. The research combines big data analysis, computer vision, behavioural modelling, and advanced statistical method...

Computer Science
Data Science
Environmental Science
+8 more

3 weeks ago

Publisher
source

University of Twente

Country flag

Netherlands

This EngD project at the University of Twente focuses on building AI methods for detecting underground infrastructure in ground penetrating radar (GPR) radargrams and estimating burial depth. The work builds on high-quality GPR data from the university’s Utility Mapping Site (UMS) , a dedicated test environment for utility mapping technologies. You will work on systematically collected and accurately annotated GPR datasets to develop and validate machine learning models that improve automated in...

Computer Science
Data Science
Environmental Science
+9 more

New Today

Publisher
source

National University of Singapore

Country flag

Singapore

Two fully funded PhD positions are available in urban data science at the NUS Urban Analytics Lab , National University of Singapore. The positions are supervised by Prof. Filip Biljecki and are aimed at students interested in urban analytics , urban informatics , GeoAI , urban AI , and data-driven research on cities. The two research directions are: 1) Sensing urban changes and dynamics with emerging urban data — using sources such as street-level imagery to detect subtle changes in cities as t...

Computer Science
Data Science
Environmental Science
+5 more

2 weeks ago

Publisher
source

University of Bristol

Country flag

United Kingdom

The University of Bristol is recruiting a Research Fellow in Climate Change and Health for a fixed three-year, full-time position in the School of Geographical Sciences. The role works across the University and with the Cabot Institute for the Environment, the Elizabeth Blackwell Institute for Health, and the Jean Golding Institute for Data Science. Applicants are welcome from across climate change and health, with particular interest in research applying data science and artificial intelligence...

Computer Science
Data Science
Environmental Science
+8 more

1 week ago

Publisher
source

Rochester Institute of Technology

Country flag

United States

Rochester Institute of Technology (RIT) is advertising two fully funded PhD positions for Spring or Fall 2027 in the Adaptive Urban Resilience and AI (AURA) research environment. The project sits at the intersection of Artificial Intelligence , GIS , climate resilience , infrastructure , and sustainable urban systems . Research themes include AI agents and human-centered computational modeling , urban and infrastructure resilience , and building and energy resilience . Ideal applicants come from...

Computer Science
Data Science
Environmental Science
+9 more

2 months ago

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.

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts and confirm requirements with the university.

Professors

Associate Professor at Eindhoven University of Technology

University Name
Country flag

Netherlands

Research Interests

Behavioral Economics

Landscape Architecture

Choice Experiment

Real Estate Economics

Social Housing