PhD Candidate: AI-Driven Inclusive Climate Risk in Cities

Arbeidsplassen; Trondheim; On-site; NOK 496,000 - 606,000; Full time

Benefits offered by this job

Fully funded PhD position

Job summary

NTNU – Norwegian University of Science and Technology in Trondheim invites applications for a fully funded four-year PhD position in the Department of Architecture and Planning. The project investigates how AI-driven methods and thick descriptions of intersectional vulnerability inform climate risk planning, with CREST-GLOBAL as the core research group.

You will conduct case studies, develop adaptive methods, and publish your findings while collaborating with international partners and

Qualifications

• Master’s degree in urban planning or architecture (5-year Norwegian Master, 120 credits).
• Strong English communication skills (oral and written).
• Norwegian language skills required.

Responsibilities

• Complete doctoral education leading to a PhD degree.
• Identify case studies on risk and vulnerability; collect relevant data.
• Co-create vulnerability narratives through participatory research with stakeholders.
• Apply spatial modelling tools (GIS) alongside AI-based techniques to generate risk maps.
• Analyze and validate AI-generated scenarios against state-of-the-art planning tools; mitigate biases.
• Develop methodological recommendations for societal readiness of technology in urban planning.
• Publish academic work and disseminate to wider audiences.
• Engage in teaching or other academic duties as agreed with supervisor.
• Contribute to developing the CREST GLOBAL research group and future projects.

Skills

Excellent English communication

Norwegian communication

Education

Master’s degree in urban planning or architecture (5-year Norwegian Master)

Tools

GIS

AI-based modelling

Job description

NTNU – Norwegian University of Science and Technology in Trondheim invites applications for a fully funded four-year PhD position in the Department of Architecture and Planning. The project investigates how AI-driven methods and thick descriptions of intersectional vulnerability inform climate risk planning, with CREST-GLOBAL as the core research group.

You will conduct case studies, develop adaptive methods, and publish your findings while collaborating with international partners and