Postdoc in Data-Driven Methods: Join our team at the Department of Space, Earth and Environment to derive global forest biomass data from the European Space Agency’s Biomass satellite mission. Use your expertise in remote sensing and machine learning to contribute to groundbreaking research on forest biomass.
Postdoc in Data-Driven Methods for Remote Sensing of Forests Using the Biomass Satellite
Postdoc in Data-Driven Methods for Remote Sensing of Forests Using the Biomass Satellite
Designation:
Postdoctoral Researcher
Location:
Gothenburg, Sweden
Research Area:
Remote Sensing, Machine Learning, Forestry
Eligibility/Qualification:
| Requirement | Details |
|---|---|
| Mandatory | Doctoral degree in remote sensing, physics, electrical engineering, or related disciplines. Strong communication skills in English. Experience in processing remote sensing data and machine learning algorithms. Good social skills for collaborative work. |
| Preferred | Doctoral degree obtained within the last three years. Experience with terrestrial mapping, large geo-spatial datasets, and SAR data. Teaching experience at the university level. |
Job Description:
- Develop, implement, and validate machine learning algorithms for above-ground biomass density from Biomass satellite data.
- Process large remote sensing datasets and prepare training datasets.
- Present research results at conferences and publish papers.
- Supervise master’s and/or doctoral students.
- Engage in undergraduate/master’s level teaching as needed.
How to Apply:
- Prepare your application in English as PDF files (max size: 40 MB each; no Zip files).
- Include a comprehensive CV with a list of publications and details of teaching experience.
- Write a personal letter summarizing your research background, outcomes, and future goals.
- Ensure your application is complete before submission via the provided application form here.
Last Date to Apply:
27 March 2026
For further questions, please contact:
Prof. Lars Ulander
Geoscience and Remote Sensing
Department of Space, Earth and Environment
Email: lars.ulander@chalmers.se
We look forward to your application!
