Postdoc in Environmental Monitoring and Sustainability Assessment of Agroforestry Systems - DTU Sustain

Technical University of Denmark · Kongens Lyngby

If you are passionate about linking environmental measurements with real-world agricultural decisions, this position offers a unique opportunity to work across ecosystem science, greenhouse gas monitoring and sustainability assessment. At DTU Sustain, you will analyse eddy covariance and environmental monitoring data to quantify carbon, water and energy fluxes in agricultural systems, while also working with economic and farm management data to assess the environmental and socio-economic performance of agroforestry systems. Working closely with researchers, farmers, industry partners and decision-makers, you will contribute to developing evidence-based pathways for sustainable agricultural transitions.

Responsibilities and qualifications
Your overall focus will be to support the NASCAR project (Nordic Agroforestry at Scale) by collecting, analysing and integrating environmental and socio-economic data to evaluate the impacts of agroforestry systems in Denmark. You will work closely with researchers, farmers, industry partners and stakeholders to generate new knowledge on greenhouse gas fluxes, carbon sequestration, agricultural productivity and the environmental and economic performance of agroforestry systems.

Your primary tasks will be to

Operate and maintain eddy covariance and environmental monitoring equipment
Conduct greenhouse gas and other environmental measurements
Process and analyse eddy covariance, greenhouse gas flux and meteorological data
Collect and analyse economic and farm management data
Conduct scenario analyses of agroforestry and agricultural management systems
Contribute to sustainability assessments of agroforestry systems
Publish scientific papers and contribute to project reporting

As a formal qualification, you must hold a PhD degree (or equivalent) in environmental science, ecology, meteorology, biogeochemistry, geography, agricultural systems or a related discipline at the time of employment

We are looking for a candidate who has:

Experience with eddy covariance, greenhouse gas measurements, or other environmental monitoring techniques
Strong quantitative, statistical and data-analysis skills
Experience with R and/or Python
Demonstrated scientific writing and publication experience
Excellent written and spoken English skills
Basic Danish language skills are preferred, as parts of the project involve communication with farmers and other project stakeholders.

We offer
DTU is a leading technical university globally recognized for the excellence of its research, education, innovation and scientific advice. We offer a rewarding and challenging job in an international environment. We strive for academic excellence in an environment characterized by collegial respect and academic freedom tempered by responsibility.

Salary and terms of employment
The appointment will be based on the collective agreement with the Danish Confederation of Professional Associations. In addition, supplements can be negotiated in accordance with DTU’s salary structure for scientific staff: www.inside.dtu.dk/en/human-resources/during-employment/salary/salary-structures.

The period of employment is 2 years.

Starting date is 1 January 2027 (or according to mutual agreement). The position is a full-time position.

You can read more about career paths at DTU here.

Further information
Further information may be obtained from Susanne Wiesner, suwie@dtu.dk

You can read more about DTU Sustain at https://sustain.dtu.dk/

If you are applying from abroad, you may find useful information on working in Denmark and at DTU at DTU – Moving to Denmark.

Application procedure
Your complete online application must be submitted no later than 12 November 2026 (23:59 Danish time).

Applications must be submitted as one PDF file containing all materials to be given consideration. To apply, please open the link "Apply now", fill out the online application form, and attach all your materials in English in one PDF file. The file must include:

Application (cover letter)
CV
Academic Diplomas (MSc/PhD – in English)
List of publications
Contact information for 2–3 references

Applications received after the deadline will not be considered.

All interested candidates irrespective of age, gender, disability, race, religion or ethnic background are encouraged to apply. As DTU works with research in critical technology, which is subject to special rules for security and export control, open-source background checks may be conducted on qualified candidates for the position.

DTU Sustain - Department of Environmental and Resource Engineering - is one of the largest university departments specializing in environmental and resource engineering in Europe. The department conducts research, development & scientific advice and provides educational programs and service to society. We are working to develop new environmentally friendly and sustainable technologies, methods and solutions, and to disseminate this knowledge to society and future generations of engineers. The Department has approximately 300 staff from more than 50 nationalities.

DTU – For the benefit of society since 1829
DTU is one of Europe's leading elite technical universities. Through research and education at an international top level, we create solutions to the major societal challenges of our time and help secure Europe's global leadership in sustainable technological development. Since Hans Christian Ørsted founded DTU almost 200 years ago, our mission has remained the same: We develop and create value through the natural and technical sciences for the benefit of society. DTU has 13,800 students, 1,600 PhD students, and 6,500 employees. We work in an international environment and have an inclusive, stimulating, and informal work culture. DTU has campuses in all parts of Denmark and in Greenland and collaborates with the best universities around the world.

Join DTU Sustain as a Postdoc in agroforestry and environmental monitoring. Work with eddy covariance systems, greenhouse gas measurements, environmental data analysis, sustainability and socio-economic assessments, and scenario analyses to support sustainable agricultural development.

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