Overview
Lund University is recruiting a postdoctoral fellow to develop forest climate-risk assessments using satellite remote sensing, lidar, species and climate data.
Complete research opportunity details
The project combines Landsat and Sentinel observations with lidar, species and climate information to model drought, storm and bark-beetle risk. Work includes geospatial data processing, machine learning, scientific publications and development of risk layers and web-GIS products. Benefits stated by the source include: Full-time fixed-term postdoctoral employment; Monthly salary under Lund University terms; Two-year appointment with possible extension according to source terms.
Eligibility requirements
PhD in physical geography, remote sensing, geoinformatics, forest ecology, environmental science or a related field, normally completed within the eligibility window stated by Lund University. Strong satellite remote-sensing, Python/geospatial or machine-learning experience, English proficiency and a research-publication record are required.
Tips for this postdoctoral opportunity
Practical Job and Scholarship guidance. These tips do not replace official rules or create new eligibility requirements.
- Match your research background to the project, laboratory, supervisor and required methods rather than applying only from the title.
- Prepare a focused academic CV, transcripts, publications and research statement or proposal when requested by the official call.
- Confirm funding duration, stipend/salary, tuition coverage, start date and eligibility for international applicants.
- Contact a supervisor before applying only when the official instructions recommend or require it.
Verification notes
Verified on Lund University's official Varbi recruitment page on 2026-09-07 UTC. Reference PA2026/2477. The source states 2026-09-27 as the last application date without an exact closing time; no clock time was inferred.
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