PhD in Inclusive Neighborhood Design and AI at TU
Job in
5600, Eindhoven, Noord-Brabant, Netherlands
Listed on 2026-09-18
Listing for:
Urbandesignlab
Full Time
position Listed on 2026-09-18
Job specializations:
-
IT/Tech
AI Engineer (Applied/Software), Data Scientist, UI/UX Design
Job Description & How to Apply Below
Fully Funded PhD in Inclusive Neighborhood Design and AI at TU Eindhoven Netherlands
Position Fully Funded PhD in Inclusive Neighborhood Design and AI
Organisation TU Eindhoven Netherlands
Country Netherlands
City Eindhoven, North Brabant
No of Vacancies
Project Name ELLI – Empathic Living Labs for Inclusive Neighborhoods
Skills and Qualifications- Master’s degree in Architecture, Urban Design, Computer Science, Engineering, or related field
- Experience with computational modelling, simulation, or digital design tools
- Programming skills such as Python, C#, or web technologies
- Strong interest in AI, digital twins, and urban design innovation
- Ability to work in interdisciplinary research environments
- Strong communication and collaboration skills
- Fluency in English (C1 level)
- Dutch language proficiency is an advantage
- Experience in computational design, simulation, or digital modelling workflows
- Exposure to AI-based analysis or data-driven design methods preferred
- Experience in participatory design or stakeholder engagement is beneficial
- Academic or research experience in urban design, architecture, or related domains
- Interdisciplinary collaboration experience is advantageous
Salary €3,059 – €3,881 per month (as per Dutch University standards)
Eindhoven University of Technology is a leading international research university located in the Brainport Eindhoven region, a global hub for high-tech innovation. The university integrates engineering, design, and human-centered research to address complex societal challenges, with a strong focus on sustainability, inclusivity, and technological advancement.
Job Description- Develop digital twin models of living lab neighborhoods
- Design computational tools for inclusive neighborhood planning and design
- Apply AI-enabled methods to analyze accessibility and spatial conditions
- Integrate spatial data, environmental sensing, and behavioral insights
- Prototype socio-spatial interventions addressing mobility and social participation
- Conduct participatory design processes with residents and stakeholders
- Evaluate and refine interventions through iterative design cycles
- Collaborate with interdisciplinary teams within the ELLI project
- Publish research outputs in academic journals and conferences
- Support municipalities and planners with digital tools for inclusive environments
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