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Aarhus University

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Postdoc in Remote Sensing of Ecosystem Resilience across Danish Landscapes Aarhus University in Denmark

Degree Level

Postdoc

Field of study

Computer Science

Funding

2-year fixed-term postdoc position at Aarhus University. Salary and terms are according to Danish collective agreements; no stipend amount is stated. The post is full-time and runs from 1 March 2027 to 28 February 2029.

Deadline

Nov 3, 2026

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Country

Denmark

University

Aarhus University

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Keywords

Computer Science
Ecology
Environmental Science
Biology
Remote Sensing
Geography
Biodiversity
Earth Science
Landscape Ecology
Farming Systems
Statistics
Ecological Resilience
Cambio Climático

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About this position

Postdoc opportunity at Aarhus University, Denmark in remote sensing, ecosystem resilience, ecology, biodiversity, and landscape analysis.

The Department of Biology, Section for Ecoinformatics and Biodiversity (ECOINF), is seeking applications for a 2-year postdoctoral position focused on satellite time series and the analysis of how ecosystems respond to environmental stressors and disturbances such as droughts and floods. The project aims to develop satellite-based indicators of ecosystem resilience across natural, semi-natural, and agricultural landscapes, with a particular emphasis on fine spatial scales such as individual fields, forests, and grasslands.

The postdoc will work with Prof. Fabian Daniel Schneider and collaborate with Prof. Signe Normand. The research is linked to the Center for Landscape Research in Sustainable Agricultural Futures (Land-CRAFT) and will contribute to understanding sustainability in Danish and global agricultural systems.

Applicants should have a PhD in ecology, Earth system science, geography, biology, or a related field, plus experience in geospatial/statistical analysis of remote sensing and ecological data, programming in R/Python, land cover and land-use change, multispectral and multi-scale remote sensing, and ecosystem/biodiversity science. Strong English communication skills are required. A B driver’s license is an advantage.

The position is full-time and fixed-term from 1 March 2027 to 28 February 2029. Salary and employment conditions follow Danish collective agreements. Applicants must submit an English application including a CV, degree certificate, publication list, future research plans, teaching portfolio, and a short 1–2 page project proposal.

Deadline: 3 November 2026, 23:59 CET. Apply via Aarhus University’s recruitment system.

Funding details

2-year fixed-term postdoc position at Aarhus University. Salary and terms are according to Danish collective agreements; no stipend amount is stated. The post is full-time and runs from 1 March 2027 to 28 February 2029.

What's required

Applicants must hold a PhD degree in ecology, Earth system science, geography, biology or a similar field. Required experience includes geospatial and statistical analyses of remote sensing and ecological data, good programming skills (ideally R, Python or similar), land cover and land use change, multispectral and ideally multi-scale remote sensing tools, and knowledge of biogeography, ecosystem or biodiversity science, ecosystem resilience, and remote sensing of vegetation stress. Strong interest in remote sensing, sustainability, biodiversity, data science, and agricultural and natural systems in Danish or European landscapes is expected. Candidates should be creative, independent, well structured, good at problem-solving, able to work in teams and across disciplines, and have excellent oral and written English. A B driver’s license is an advantage. Applicants should also submit a short 1–2 page project proposal.

How to apply

Apply through Aarhus University’s recruitment system via the job advertisement page. Submit the application in English with a CV, degree certificate, complete publication list, statement of future research plans, information about research activities, teaching portfolio, and verified teaching experience if any. Include a short 1–2 page project proposal.

More information can be found here

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