PhD Candidate: AI-Driven Urban Sensing for Climate-Ready Regeneration

Norwegian University of Science and Technology (NTNU); Trondheim; On-site; NOK 496,000 - 606,000; Full time

Benefits offered by this job

Mentor programme

Favorable SPK pension terms

Free Norwegian language training

Job summary

The Norwegian University of Science and Technology (NTNU) invites applications for a PhD Candidate position in AI-Augmented Urban Sensing for Planning to support societal readiness for climate-responsive regeneration. You will conduct doctoral research, publish in top journals, and engage with a multidisciplinary team in Trondheim.

Limited to a 3-year appointment with a clear pathway to doctoral admission, the role emphasizes independent work, collaboration, and the development of AI-enabled

Qualifications

• Requires a relevant Master's degree in Architecture and Urban Planning.
• Master's degree must be obtained before starting (no later than Sep 1, 2026).
• Excellent oral and written presentation skills in English.

Responsibilities

• Complete the doctoral education leading to a PhD degree.
• Carry out research of high quality within the described framework.
• Publish in high-impact international peer-reviewed journals and popular science outlets.
• Participate in the research group’s activities and department community.
• Contribute to research group initiatives and EU/Norwegian funding applications.
• Participate in international activities such as conferences or research stays.

Skills

English proficiency

Independent working

Structured approach

Analytical mindset

Education

Master's degree in Architecture and Urban Planning

Five-year Norwegian course (120 credits at master's level)

Job description

The Norwegian University of Science and Technology (NTNU) invites applications for a PhD Candidate position in AI-Augmented Urban Sensing for Planning to support societal readiness for climate-responsive regeneration. You will conduct doctoral research, publish in top journals, and engage with a multidisciplinary team in Trondheim.

Limited to a 3-year appointment with a clear pathway to doctoral admission, the role emphasizes independent work, collaboration, and the development of AI-enabled