Laura Vang Rasmussen
2 weeks ago
Postdoctoral Position in Agroforestry, Remote Sensing, and Deep Learning at University of Copenhagen University of Copenhagen in Denmark
Degree Level
Postdoc
Field of study
Computer Science
Funding
The position is a full-time, two-year postdoctoral appointment at the University of Copenhagen, covered by the agreement between the Ministry of Finance and The Danish Confederation of Professional Associations on Academics in the State. Salary is according to standard Danish university postdoc scales, with the possibility of salary negotiation. No specific stipend amount is mentioned.
Deadline
Mar 26, 2026
Country
Denmark
University
University of Copenhagen

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Where to contact
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About this position
The University of Copenhagen's Department of Geosciences and Natural Resource Management is inviting applications for a two-year postdoctoral position focused on changes in agroforestry. The successful candidate will join TreeSense, the Center for Remote Sensing and Deep Learning of Global Tree Resources, and work within the Section for Geography. The research will leverage remote sensing and machine learning to characterize and quantify global woody vegetation dynamics, with a particular emphasis on agroforestry systems such as homegardens, forest farming, and silvopasture. The postdoctoral researcher will apply deep learning techniques to analyze the extent, types, and changes in major agroforestry systems, collaborating with local partners to co-produce stakeholder tools.
TreeSense offers a vibrant, international research environment, with a team comprising principal investigators, postdocs, PhD students, and undergraduates. The postdoc will lead data analysis, contribute to writing research papers, and have opportunities to supervise MSc and PhD students. The position also involves presenting findings at regional and international conferences. The Department of Geosciences and Natural Resource Management conducts interdisciplinary research on the Earth's physical, chemical, and biological environments and their interactions with human systems, supporting sustainable solutions for society.
Applicants should have a PhD in remote sensing, environmental sciences, geography, land system science, or a related field. Essential skills include experience with deep learning, remote sensing, land cover mapping, and handling large-scale datasets. Strong communication and collaboration skills, as well as excellent English proficiency, are required. Desirable qualifications include experience with causal inference and a strong publication record in land system science. The position is full-time, starting June 1, 2026, or as soon as possible thereafter, and is covered by standard Danish university postdoc employment agreements. Salary is according to the agreement between the Ministry of Finance and The Danish Confederation of Professional Associations, with the possibility of negotiation.
To apply, submit your application in English electronically, including a motivated letter, CV, diplomas, and publication list. The deadline for applications is March 26, 2026. For further information, contact Associate Professor Laura Vang Rasmussen at [email protected]. More details about the department and the application process can be found on the university's website.
Funding details
The position is a full-time, two-year postdoctoral appointment at the University of Copenhagen, covered by the agreement between the Ministry of Finance and The Danish Confederation of Professional Associations on Academics in the State. Salary is according to standard Danish university postdoc scales, with the possibility of salary negotiation. No specific stipend amount is mentioned.
What's required
Applicants must hold a PhD in remote sensing, environmental sciences, geography, land system science, or a related field. Essential skills include experience with deep learning, remote sensing, land cover mapping, and handling large-scale datasets. Strong communication skills and the ability to collaborate in interdisciplinary teams are required, as well as excellent written and spoken English. Desirable qualifications include experience with causal inference techniques and a strong publication record as first author in international journals in land system science.
How to apply
Submit your application electronically in English via the provided application link. Include a motivated letter of application (max one page), CV, diplomas (Master and PhD or equivalent), and a complete publication list. If the PhD is not completed, provide a written statement from your supervisor. Apply by March 26, 2026.
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