PhD Candidate in Societal Readiness for AI-Supported Life Cycle Assessment
Explore how AI can enhance life cycle assessment tools to improve societal sustainability readiness.
Best for:Best for early-career researchers with a strong background in sustainability science, AI, or environmental engineering, seeking to contribute to interdisciplinary research on societal adoption of AI-driven sustainability tools.
Overview
This PhD position at NTNU Norwegian University of Science and Technology focuses on assessing societal readiness for AI-supported life cycle assessment (LCA) tools. The candidate will investigate how AI integration can improve sustainability practices and contribute to a better understanding of environmental impact. The work involves interdisciplinary research, collaboration with industry and academia, and developing innovative methodologies to bridge the gap between technological advancements and societal adoption. The successful applicant will be part of the Department of Architecture and Technology, contributing to research that aligns with global sustainability goals. The role is ideal for those passionate about sustainability, AI, and systemic change in environmental practices.
What you'll do
- Conduct research on how AI can enhance life cycle assessment tools to improve societal sustainability readiness.
- Develop methodologies to evaluate societal adoption and integration of AI-supported sustainability technologies.
- Collaborate with industry and academic partners to ensure practical applicability of research findings.
- Publish research findings in high-impact academic journals and present at international conferences.
- Contribute to teaching and mentoring activities within the department.
- Participate in interdisciplinary projects and workshops focused on sustainability and AI.
Requirements
Degree required: Master's degree in Sustainability Science, Environmental Engineering, Computer Science, or a related field
Degree offered: PhD
Language: English; proficiency at a level suitable for academic research and publication
Instruction: English
- Strong academic background in sustainability science, environmental engineering, or related disciplines
- Proficiency in AI methodologies and tools for sustainability applications
- Experience with life cycle assessment (LCA) or similar environmental impact evaluation techniques
- Excellent written and oral communication skills in English
- Ability to conduct interdisciplinary research and collaborate with diverse stakeholders
- No specific nationality restrictions mentioned
- Applicants must have completed a relevant master's degree before starting the PhD
- No age restrictions mentioned
Funding & terms
How to apply
Deadline: 2026-11-17 (Europe/Oslo)
Applicants should follow the standard application procedure for PhD positions at NTNU. This typically involves submitting a CV, cover letter, transcripts, and a research proposal. Additional documents may be required based on department guidelines. For detailed instructions, refer to the NTNU PhD admission portal.
- CV
- Cover letter
- Transcripts of academic records (BSc and MSc)
- Research proposal or statement of purpose
- Letters of recommendation (if required)
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