Research Scientist, Project Researcher

HelsinkiCompetitive0 applicants

About this role

ForestCarboVision is searching for a researcher for drone-based and terrestrial data processing. The data will be used for research articles and project deliverables. Key issues are carbon farming and carbon-based market development in forestry.

The core responsibility of the position is to transform drone- and LiDAR-based forest datasets into high-quality scientific outputs. This includes:

processing UAV LiDAR, photogrammetric and orthophoto datasets;

processing terrestrial scanning LiDAR and photogrammetric datasets;

developing reproducible data-processing workflows;

analysing tree-level forest data;

supporting tree-level forest data analysis and simulations;

leading and contributing to the preparation of peer-reviewed scientific publications based on project datasets;

supporting project reporting and deliverables through scientifically validated analyses;

publishing comparable drone-based datasets online for Finland, Iceland and Ireland;

integrating drone data and terrestrial scanning data with field plot measurements, forest inventory variables and other ground-truth data;

contributing to the development of digital forest twin workflows and forest carbon MRV methodologies (Measurement, Reporting and Verification).

A central expectation for this position is active contribution to scientific publishing. The selected candidate is expected to:

lead or co-author multiple peer-reviewed journal articles based on project datasets;

contribute to the development of publication-ready datasets and analyses;

support the preparation of manuscripts in areas such as:

UAV-based forest monitoring and MRV;

tree-level biomass and carbon estimation;

forest management scenarios and digital twin applications;

multi-sensor data integration and validation;

collaborate closely with the project leader in structuring and delivering a publication pipeline.

The position is strongly oriented toward producing publishable scientific

Responsibilities

  • processing UAV LiDAR, photogrammetric and orthophoto datasets;
  • processing terrestrial scanning LiDAR and photogrammetric datasets;
  • developing reproducible data-processing workflows;
  • analysing tree-level forest data;
  • supporting tree-level forest data analysis and simulations;
  • leading and contributing to the preparation of peer-reviewed scientific publications based on project datasets;
  • supporting project reporting and deliverables through scientifically validated analyses;
  • publishing comparable drone-based datasets online for Finland, Iceland and Ireland;
  • integrating drone data and terrestrial scanning data with field plot measurements, forest inventory variables and other ground-truth data;

Requirements

  • contributing to the development of digital forest twin workflows and forest carbon MRV methodologies (Measurement, Reporting and Verification).
  • lead or co-author multiple peer-reviewed journal articles based on project datasets;
  • contribute to the development of publication-ready datasets and analyses;
  • support the preparation of manuscripts in areas such as:
  • UAV-based forest monitoring and MRV;
  • tree-level biomass and carbon estimation;
  • forest management scenarios and digital twin applications;
  • multi-sensor data integration and validation;
  • collaborate closely with the project leader in structuring and delivering a publication pipeline.

EU Requirements

Job Details

Posted10 September 2026
Closes10 October 2026

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