Postdoc: Remote Sensing for Ecosystem Resilience in Denmark

Aarhus University

Aarhus

Remote

DKK 520,000 - 600,000

Full time

7 days ago
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Job summary

Aarhus University in Aarhus, Denmark, invites applications for a two-year postdoc position in the Section for Ecoinformatics and Biodiversity (ECOINF) within the Department of Biology. The project focuses on remote sensing of ecosystem resilience across Danish landscapes, including natural, semi-natural and agricultural vegetation.

The successful candidate will analyze satellite time series, develop resilience indicators, and collaborate across scales and land-use types, contributing to

Qualifications

  • PhD in ecology, Earth system science, geography, biology or similar.
  • Experience with geospatial analyses of remote sensing and ecological data.
  • Proficiency in programming (R, Python or similar).
  • Knowledge of land cover change and multi-scale remote sensing.

Responsibilities

  • Analyze satellite time series to understand ecosystem responses to environmental stressors and disturbances.
  • Develop satellite-based indicators of ecosystem resilience across land-use types.
  • Combine multiple remote sensing techniques across scales (Sentinel-2, Landsat, Sentinel-1).
  • Collaborate within Land-CRAFT and ECOINF, and engage with interdisciplinary teams.

Skills

Geospatial analyses
Statistical analyses
Programming (R)
Programming (Python)
Land cover & land use change
Multispectral remote sensing
Ecosystem resilience concept
English writing

Education

PhD in ecology/earth system science/geography/biology

Tools

R
Python

Job description

Aarhus University in Aarhus, Denmark, invites applications for a two-year postdoc position in the Section for Ecoinformatics and Biodiversity (ECOINF) within the Department of Biology. The project focuses on remote sensing of ecosystem resilience across Danish landscapes, including natural, semi-natural and agricultural vegetation.

The successful candidate will analyze satellite time series, develop resilience indicators, and collaborate across scales and land-use types, contributing to

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