Climate AI Nordics

Climate AI Nordics

Nordic network for collaborations around tackling climate change using AI and machine learning.

Research Scientist, postdoc in Remote Sensing for Boreal Forest Structure

We seek to fill a postdoctoral position for the project “Digital Twin of Boreal Forest Structure with Remote Sensing and Forest Inventories (DigiTForest)” 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, specifically airborne laser scanning. The postdoctoral researcher will collaborate closely with Luke’s remote sensing experts and project partners from Sweden, Norway, and Canada.

The position is situated by default in Joensuu, but Helsinki is an alternative in special cases. The work includes research visits to international collaborators and offers a cutting-edge research environment within a mobile work model that allows for flexibility within Finland.

Key qualifications and skills:

  • A doctoral degree in forestry, statistics, machine learning, data science, applied physics, or a related field.
  • Strong skills in statistical analysis of empirical data and capability to handle large data sets.
  • Previous experience in working with remote sensing data and familiarity with the R programming environment.
  • Fluent written and oral English and a willingness to work abroad.

Deadline: 2026-04-22

Apply through the official recruitment system

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