Assistant Professor in Remote Sensing and Deep Learning of woody ecosystem properties

Assistant Professor in Remote Sensing and Deep Learning of woody ecosystem properties

Center for Remote sensing and Deep Learning of Global Tree Resources – Tree Sense
Faculty of Science
University of Copenhagen

The Department of Geosciences and Natural Resource Management invites applicants for an Assistant Professor position in Remote Sensing and Deep Learning of woody ecosystem properties. The position will be anchored in the Center for Remote sensing and Deep Learning of Global Tree Resources (Tree Sense) funded by the Danish National Research Foundation, and the Forsaid project funded by the European Union’s Horizon Europe Research and Innovation.

The research center aims to revolutionize global tree monitoring using advanced nano-satellite technology and next-generation deep learning methods. The work focuses on mapping tree species composition across European forests using satellite and aerial imagery, developing robust training pipelines, and providing high-resolution species maps for assessing forest vulnerability and resilience. The role involves developing research techniques for improved assessment and monitoring of woody vegetation ecosystem properties at the level of single trees, with a focus on species mapping as well as disturbances and change dynamics of trees inside and outside forests.

The position is open from 15 September 2026 or as soon as possible thereafter and will be for a duration of 15 months.

Applicants should hold a PhD degree in Geography, Geoinformatics, Environmental Sciences, or related field. Candidates must be highly motivated, ambitious and possess good interpersonal and communication skills. Fluency in spoken and written English is a requirement. Emphasis will be placed on previous publications, relevant experience in remote sensing and forest monitoring, programming skills (e.g. R, Python), proven experience with high‑resolution imagery and deep learning techniques, and handling large image datasets.

Assessment will primarily consider the level of documented, internationally competitive research and the ability to attract external funding together with outreach qualifications. Teaching qualifications are not mandatory, but documented teaching experience will be considered.

The six criteria (research, teaching, societal impact, organisational contribution, external funding and leadership) provide a framework for the overall assessment of candidates. Each candidate must also satisfy the specific requirements stated in this advertisement. For more information see .

Your workplace will be the Department of Geosciences and Natural Resource Management (IGN), which 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. The department has strong experience in interdisciplinary collaboration within and beyond the department.

Further information on the Department is linked at https://(Use the "Apply for this Job" box below)..

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.

• Cover letter
• Curriculum vitae
• Research plan – description of current and future research plans
• Complete publication list
• Diplomas (Master and PhD degree or equivalent)
• Separate reprints of 3 particularly relevant papers

The Final date to receive applications is 19 July, 23:59 GMT+2.

After the expiry date of the Final date to receive applications, the authorised recruitment manager selects candidates for assessment on the advice of the Interview Committee. You can read about the recruitment process at .

• Final date to receive applications: 19-07-2026
• Employment start: 15-09-2026
• Working hours:
  
  Full time
• Department/
  
  Location:
  
  Department of Geosciences and Natural Resource Management

The University wishes our staff to reflect the diversity of society and thus welcomes applications from all qualified candidates regardless of personal background.