The SDU Center for Life Cycle Engineering (SDU LCE) at the University of Southern Denmark (SDU) invites applications for an Associate Professor position within Data-driven Quantitative Sustainability Assessment. SDU LCE is part of the Department of Green Technology (IGT) at the Faculty of Engineering at SDU.

The position is available from 1 July 2026 or as soon as possible thereafter.

Job Description

The candidate will contribute to advancing the field of quantitative sustainability assessment within industrial ecology by strengthening SDU LCE’s capacity in data-driven methods, modelling, and decision support, including environmental informatics approaches where relevant. The research can include the development and application of models and analyses based on complex, heterogeneous datasets, and may use big data approaches, geospatial information, and spatial or spatiotemporal perspectives when relevant to the research questions and decision-support needs of stakeholders. 

The position targets the use of recent developments in computer science and geographic information science to address sustainability and resilience challenges and to support sustainability transitions across a broad set of application areas, for example, within the circular economy, urban and infrastructure systems, and energy and resource-related systems.

The candidate is expected to (i) drive internationally recognized research, (ii) contribute to and lead externally funded research activities, (iii) collaborate closely with industry, policymakers, NGOs and other stakeholders, and (iv) play a key role in providing outstanding education, supervision, and development of junior research staff. 

Qualifications:

We seek an ambitious and collaborative candidate with qualifications at the level of associate professor and an excellent track record of achievements. Candidates must have a PhD degree and have at least 3 years’ experience as an assistant professor.

• The candidates should be able to contribute to teaching, planning, and course management within SDU LCE’s educational portfolio in quantitative sustainability assessment and related data-driven methods.
• The candidates should have an established research portfolio, including Web of Science publications in the field of sustainability, data-driven environmental analysis, industry ecology, and green transitions.
• The candidates need to show substantial teaching and supervision experience in several subjects. 
• The candidates preferably should be able to document experience with obtaining external research funding.
• Strong interpersonal skills and a collaborative mindset 
• Experience in research communication, outreach, and dissemination to a wider public
• The ability to strengthen national and international collaboration within the research area.