Postdoctoral Researcher in Remote Sensing and Land Degradation

The candidate will join the TransMoP project (Transcending Boundaries: Navigating Mobility and Persistence in Arid and Degraded Landscapes), which investigates how land degradation and climate change shape human mobility and staying in Uzbekistan and Kazakhstan. The postdoc will lead the geospatial analyses, assessing water stress, vegetation dynamics and land degradation using long-term climate and Earth-observation data. Tasks include data processing, time-series analysis and spatial mapping. The position is funded for three years under the German TV-L scheme, salary scale E13, starting early 2027. We expect: A doctoral degree in geography, remote sensing, geoinformatics, environmental science, land-system science, geoecology, or a related field. Strong expertise in remote sensing and spatial analysis, including time-series analysis of Earth-observation and climate data (Landsat, Sentinel, MODIS, ERA5). Strong quantitative and geospatial programming skills, preferably in R and/or Python, and experience with GIS, statistical analysis and spatial modelling. Experience with research data management and reproducible workflows. A publication record appropriate to career stage and excellent English scientific writing. Willingness to undertake research visits in Uzbekistan and Kazakhstan; Russian, Uzbek or Kazakh is an advantage. Application: Send a motivation letter (max 1 page), CV, transcripts and certificates, a two-page research proposal, and two academic referees as a single PDF with "TransMoP Postdoc" in the subject line to [email protected]. Closing date: 15.11.2026.