Research Scientist (Postdoc) - Remote Sensing
This postdoctoral position at Natural Resources Institute Finland (Luke) is part of the “Digital Twin of Boreal Forest Structure with Remote Sensing and Forest Inventories (DigiTForest)” project, funded by the Academy of Finland. The objective is to develop methods for large-scale tree-level mapping of forests, with a special focus on biodiversity, using remote sensing data such as airborne laser scanning. The postdoctoral researcher will be supervised by Dr. Joel Kostensalo and will collaborate closely with Luke’s remote sensing experts and project collaborators from Sweden, Norway, and Canada. This work includes research visits to international collaborators.
Natural Resources Institute Finland (Luke) is a research organisation dedicated to building a sustainable future and well-being from renewable natural resources. It creates knowledge-based solutions and services for its customers and adds value to sustainable and competitive businesses based on renewable natural resources. The institute also supports public policy making related to natural resources and the resource economy.
The position is located by default in Joensuu, Finland, with Helsinki as another alternative in special cases. Mobile work is possible within Finland, with practices agreed upon with the supervisor.
Key Qualifications:
- A doctoral degree in an applicable field (e.g., forestry, statistics, machine learning, data science, applied physics, or similar).
- Good skills in statistical analysis of empirical data and capability to handle large data sets.
- Fluent written and oral English, and a willingness to work abroad.
- Previous experience in working with remote sensing data, large-scale scientific computing, and familiarity with the R programming environment are appreciated.
Deadline: April 22nd, 2026