Postdoc in Forest Remote Sensing and Climate Risk Assessment at Lund University

Job Description

Lund University’s Department of Earth and Environmental Sciences (MGeo) is hiring a postdoc in forest remote sensing and climate risk. The project is building an operational web service that uses Landsat and Sentinel satellite data, tree-species maps, canopy structure and climate indicators to assess climate risk across Sweden’s forests continuously: drought stress by species, storm exposure and bark-beetle susceptibility. It is designed with regional authorities and forest owners’ associations.

At a glance

• Position: Postdoctoral fellow, full time, two years with possible extension
• Where: Department of Earth and Environmental Sciences (MGeo), Lund
• Expected output: At least two peer-reviewed papers
• Apply by: 27 September 2026
• Apply: 27 September 2026

About the forest remote sensing postdoc

• Build and maintain harmonised Landsat and Sentinel-2 time series, integrated with airborne lidar, tree-species maps and gridded climate data
• Produce climate-risk layers: drought-stress maps by species, a storm-exposure hazard index and bark-beetle susceptibility signals
• Help develop the web-based monitoring service, including automated updates and a web GIS dashboard
• Study what makes stands vulnerable to storms, using major windstorms as natural experiments and interpretable machine- and deep-learning models
• Teaching of up to 20% of working time is possible, with three weeks of training in university teaching

What Lund University is looking for

• A PhD in physical geography, remote sensing, geoinformatics, forest ecology, environmental science or a close field, normally completed no more than three years before the employment decision
• Experience with satellite remote sensing for large-scale vegetation or forest monitoring, including Landsat and/or Sentinel-1/2 time series
• Strong Python for geospatial analysis and machine learning (for example XGBoost), including model interpretation such as SHAP
• Very good English, strong communication, and a record of peer-reviewed publications

Nice to have

• Web-GIS development or geospatial visualisation
• High-performance computing or cloud Earth-observation platforms, such as the Google Earth Engine Python API
• Airborne lidar processing and canopy height modelling

Pay and location

Lund’s advert describes a full-time, fixed-term post of two years with the possibility of extension; it does not state a salary. Assessment rests mainly on scientific merit and potential as an independent researcher.

How to apply

Apply through the official Lund University page. The closing date is 27 September 2026.

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