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