PhD Candidate in Societal Readiness for AI-Supported LCA of Buildings
Examine how artificial intelligence tools reshape trust, accountability, and professional judgment in building life cycle assessments.
Best for:Best for master's graduates in industrial ecology, architecture, or computer science with an interest in AI ethics and environmental governance.
Overview
The Department of Architecture and Technology at NTNU invites applications for a 3-year PhD position focusing on societal readiness for AI-supported life cycle assessment in the architecture, engineering, and construction sectors. The successful candidate will investigate how automated tools and machine learning approaches impact transparency, environmental governance, and professional accountability using mixed methods. Working within the Energy and Environment research group, the researcher will engage with real demonstration projects and multidisciplinary collaborators. Applicants are expected to conduct rigorous academic research, complete 30 ECTS of coursework, and contribute to scientific dissemination.
What you'll do
- Conduct high-quality research on AI-assisted life cycle assessment in relation to environmental governance and societal readiness.
- Publish research findings in peer-reviewed journals and participate in popular science dissemination.
- Collaborate actively within the Energy and Environment research group and external partners such as SINTEF and NTNU Social Research.
- Participate in international academic activities, including conferences and foreign research visits.
- Complete required academic coursework totaling at least 30 ECTS.
- Undertake career-enhancing departmental duties such as teaching assistance or supervision if required.
Requirements
Degree required: Master's degree in Architecture, Industrial Ecology, Science and Technology studies, Computer Science, or equivalent, including a major thesis of at least 30 ECTS.
Degree offered: PhD
Language: English; excellent written and oral proficiency required.
Instruction: English
- Relevant academic background with a grade average equivalent to B or better on NTNU's grading scale.
- Strong analytical capabilities demonstrated through coursework or thesis deliverables.
- Demonstrated motivation to conduct research on AI-supported environmental assessments.
- Excellent written and oral English language skills.
- Must meet admission requirements for the PhD program in architecture at NTNU.
- Master students may apply provided the degree is completed and documented no later than November 1st, 2026.
- Must comply with Norwegian export control legislation and state employee regulations.
Funding & terms
How to apply
Deadline: 2026-11-17
Submit your application through the official recruitment portal with all required academic attachments and documentation before the deadline.
- CV
- Master's thesis
- Transcripts
- Description of scientific work
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