Publisher
source

Utrecht University

Interdisciplinary role at the intersection of AI, urban planning, and sustainability Utrecht University in Netherlands

Degree Level

PhD

Field of study

Computer Science

Funding

not provided

Deadline

Expired

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Country

Netherlands

University

Utrecht University

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Keywords

Computer Science
Environmental Science
Information Technology
Artificial Intelligence
Urban Planning
Environmental Sustainability
Generative Modeling

About this position

Utrecht University is offering a PhD position focused on exploring how Generative AI can enhance Planning Support Systems for Nature-Based Solutions. This interdisciplinary opportunity sits at the intersection of artificial intelligence, urban planning, and sustainability, aiming to advance the use of genAI in supporting sustainable urban development. The position is ideal for candidates passionate about leveraging cutting-edge AI technologies to address real-world challenges in planning and environmental management. The supervisor for this position is Martijn Kuller, and interested applicants are encouraged to reach out to him for more information.

While specific funding details and application deadlines are not provided, candidates are advised to check the provided link for further instructions and to contact the supervisor directly. The role is suitable for talented students or recent graduates with relevant interests and backgrounds. Utrecht University is a leading institution in the Netherlands, known for its research excellence and commitment to sustainability.

What's required

Applicants should be talented students or recent graduates with a strong interest in generative AI, urban planning, and sustainability. Specific degree requirements, skills, or language tests are not mentioned, but interdisciplinary interest and relevant background are implied.

How to apply

Visit the provided link for more details and application instructions. Interested candidates can contact Martijn Kuller at [email protected] for further information. Share the opportunity with suitable candidates in your network.

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