The Centre for Remote Sensing and Deep Learning of Global Tree Resources (TreeSense): TreeSense invites applications for a two-year postdoctoral position starting on June 1, 2026, or as soon as possible thereafter.

Our research

At TreeSense, we use remote sensing and machine learning to develop new means to characterize and quantify global woody vegetation dynamics, both inside and outside of forests. Also, we aim to identify the drivers and outcomes of these changes. The postdoctoral researcher will focus specifically on agroforestry system. The successful candidate will apply novel deep learning techniques and remote sensing technologies to quantify the extent, types and changes in major agroforestry systems – with attention to both specific trees and shrubs as well as agroforestry types such as homegardens, forest farming or silvopasture. The postdoctoral researcher will also work with local collaborators in selected sites to co-produce relevant stakeholder tools.

We value diversity and inclusivity in our research community. We actively encourage applications from individuals of all backgrounds, identities, and experiences who share our commitment to addressing global environmental challenges through innovative research.

Your job

The postdoctoral researcher will be based within the Section for Geography at the Department of Geosciences and Natural Resource Management (IGN), University of Copenhagen, Denmark. The postdoctoral researcher will be part of TreeSense, the Land Use, Earth Observation and Sustainability research group: LUES Research group, and the Livelihood, Agriculture, Nutrition, and Deforestation (LAND) lab: LAND lab.

TreeSense offers a strong, international environment for research in the field of land system science. TreeSense employs 5 principal investigators, 8 postdocs, 7 PhD students as well as a number of undergraduate students.

The successful candidate will lead data analysis and writing on selected research papers, and will have the opportunity to help supervise MSc and PhD students being part of TreeSense. The candidate will present research findings at regional and international scientific meetings.

IGN conducts research and education on the past, present and future physical, chemical and biological environments of the Earth and their interactions with societal and human systems to provide graduates and research in support of sustainable future solutions for society. Further information on the Department can be found at http://www.science.ku.dk/english/about-the-faculty/organisation/.

Qualification requirements

Essential experience and skills:

• Candidates should hold a PhD in remote sensing, environmental sciences, geography, land system science, or a related field
• Experience with deep learning and remote sensing
• Experience with land cover mapping and handling of large-scale datasets
• Strong communication skills and ability to collaborate effectively in interdisciplinary teams
• Excellent English skills written and spoken

Desirable experience and skills:

• Experience with causal inference techniques
• Strong scientific track record with publications in peer reviewed international journals as first author in the field of land system science

Place of employment

The place of employment is at the Department of Geosciences and Natural Resource Management (Øster Voldgade 10, 1350, Copenhagen), Faculty of Science, University of Copenhagen.

Terms of employment

The position is open from June 1, 2026 or as soon as possible thereafter. The postdoctoral position is for 2 years.

The position is covered by the Memorandum on Job Structure for Academic Staff.

Terms of appointment and payment accord to the agreement between the Ministry of Finance and The Danish Confederation of Professional Associations on Academics in the State.

Negotiation for salary supplement is possible.

Questions
For further information please contact Associate Professor Laura Vang Rasmussen; lr@ign.ku.dk .

Application Procedure

The application, in English, must be submitted electronically by clicking APPLY NOW below.

Please include:

• Motivated letter of application (max. one page).
• Curriculum vitae
• Diplomas (Master and PhD degree or equivalent). If the PhD is not completed, a written statement from the supervisor will do.
• Complete publication list

The deadline for applications is March 26 2026, 23:59 CET.

We reserve the right not to consider material received after the deadline, and not to consider applications that do not live up to the abovementioned requirements.

Interviews will be held in April 2026.

The further process
After the expiry of the deadline for applications, the authorized recruitment manager selects applicants for assessment on the advice of the hiring committee. All applicants are then immediately notified whether their application has been passed for assessment by an unbiased assessor. Once the assessment work has been completed each applicant will have the opportunity to comment on their assessment.

You can read about the recruitment process at https://employment.ku.dk/faculty/recruitment-process/

The applicants will be assessed according to the Ministerial Order no. 242 of 13 March 2012 on the Appointment of Academic Staff at Universities.

The University of Copenhagen wish to reflect the diversity of society and encourage all qualified candidates to apply regardless of personal background.