PhD in Data- and AI-based solutions to improve child health and outcomes through housing
Core
Develop innovative data-driven solutions using AI and big data to predict and optimize the impact of housing improvements on children's health and wellbeing.
Role type
PhD candidate in data science and AI for public health
Builds
A digital tool to predict and optimize the impact of housing upgrades across different scenarios
Domain
Public health, housing policy, data science, and urban systems
Deliverable
research
Required skills
Python programming, big data analysis, computational modelling, econometrics, advanced statistical methods, computer vision
Preferred skills
Experience at a European research institute or university
Technologies
Python, big data platforms, computer vision frameworks
Responsibilities
Transform complex unstructured housing and health data into predictive models; collaborate with medical doctors, building engineers, and industry partners; contribute to the NWO-funded research programme Homes for Upcoming Generations
Seniority
PhD candidate (early career researcher)