University of Copenhagen Assistant Professor in Remote Sensing and Deep Learning 2026

About the Institute

The University of Copenhagen (UCPH) is one of Europe's leading research universities, known for excellence in environmental science, artificial intelligence, geoinformatics, and interdisciplinary research. The position is offered by the Department of Geosciences and Natural Resource Management, Faculty of Science, as part of the TreeSense research centre.

About the Post

Applications are invited for the position of Assistant Professor in Remote Sensing and Deep Learning of Woody Ecosystem Properties. The selected candidate will develop next-generation AI and remote sensing methods to monitor forests, woody vegetation, biodiversity, and ecosystem dynamics using satellite imagery, deep learning, computer vision, and geospatial analytics. The appointment is for 15 months, starting 15 September 2026 or as soon as possible thereafter.

Who Can Apply

Candidates with a PhD in Geography, Geoinformatics, Environmental Science, Remote Sensing, Computer Science, or a closely related discipline are eligible to apply.

Applicants with expertise in remote sensing, machine learning, deep learning, GIS, Python programming, geospatial data analysis, or large-scale image processing will be preferred. Excellent communication skills and a strong research publication record are expected.

How to Apply

Interested candidates must submit their application online through the University of Copenhagen recruitment portal.

The application should include:

• Cover Letter
• Curriculum Vitae (CV)
• Research Plan
• Publication List
• Relevant Academic Documents

Why Apply

This opportunity allows researchers to contribute to internationally funded environmental research, work with advanced AI and remote sensing technologies, collaborate with global research teams, and help develop innovative solutions for sustainable forest and ecosystem monitoring.

Eligibility Criteria

Applicants should have:

• PhD in a relevant discipline
• Strong research background in Remote Sensing or Deep Learning
• Experience with GIS, Python, Machine Learning, or AI
• Research publications in relevant fields
• Good written and spoken English communication skills

Important Dates

Application Deadline: 19 July 2026 (11:59 PM CET)

Expected Joining: 15 September 2026 (or as soon as possible thereafter)

URLs

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