Postdoc: AI-Driven Urban Health Design

Utrecht University; Netherlands; On-site; EUR 41,000 - 64,000; Full time

Benefits offered by this job

8% holiday pay

8.3% year-end bonus

Pension scheme

Flexible terms of employment

Job summary

Utrecht University is seeking a collaborative postdoctoral researcher to lead the development of an AI-enabled recommender system for urban (re)design within the transdisciplinary ELEVATE project. You will combine street-view imagery, GIS and mobility data with qualitative insights, fine-tune state-of-the-art models, and design context-sensitive recommendations that promote active mobility.

You will work with municipalities, planners, designers and residents, and publish findings and contribute

Qualifications

• PhD in computer science, AI, data science, urban analytics, geoinformatics or related field.
• Experience with foundational AI model development and fine-tuning.
• Strong written and verbal communication and academic writing skills.

Responsibilities

• Lead the development of an AI-enabled recommender system for urban (re)design.
• Integrate multi-source datasets: street-view imagery, GIS, mobility data, qualitative insights.
• Apply state-of-the-art foundational AI models with fine-tuning for ELEVATE.
• Design geographically context-sensitive urban design recommendations promoting active mobility.
• Evaluate and improve model performance with local data; ensure explainability and robustness.
• Collaborate with municipalities, urban planners, designers, and residents; co-create and validate.
• Contribute to an interactive web interface for the recommender system.
• Publish in international journals and present at conferences.

Skills

AI model development

Multimodal ML

Geospatial data handling

Research collaboration

Education

PhD in computer science / AI / data science / urban analytics

Job description

Utrecht University is seeking a collaborative postdoctoral researcher to lead the development of an AI-enabled recommender system for urban (re)design within the transdisciplinary ELEVATE project. You will combine street-view imagery, GIS and mobility data with qualitative insights, fine-tune state-of-the-art models, and design context-sensitive recommendations that promote active mobility.

You will work with municipalities, planners, designers and residents, and publish findings and contribute