Estonian National Graduate Trainee in AI/Machine Learning Mapping of Forestry Biodiversity
Pubblicato il 22-09-2026 - European Space Agency in Cisternole
Select how often (in days) to receive an alert:
Estonian National Graduate Trainee in AI/Machine Learning Mapping of Forestry Biodiversity
Job Requisition ID: 20892
Date Posted: 15 September 2026
Closing Date: 13 October 2026 23:59 CET/CEST
Publication: External Only
Type of Appointment ( learn more) : National Graduate Trainee
Directorate: Earth Observation Programmes
The ESA National Graduate Trainee (NGT) Programmes offer recent Master’s graduates the opportunity to gain practical, hands‑on experience at ESA across a range of space‑related disciplines. The programmes are essentially similar to ESA’s own Graduate Trainee Programme, notably in offering the same employment conditions. They however differ in one important respect: each NGT Programme is funded by an individual ESA Member State or Associate Member under a bilateral partnership agreement concluded with ESA.
As a result, a representative of the sponsoring State participates in the selection process. In addition to assessing candidates against the requirements of the position,
the selection may also include an evaluation of their background and knowledge of the space policies and related activities of the sponsoring State.
Location
Our team and mission
The Applications Section primarily engages in research and development (R&D;) focused on Earth observation‑based solutions that contribute to addressing the European and global international environment and development agenda. Our projects typically involve active collaboration with Early Adopters at every stage, including design, development, and validation. This ensures the seamless integration of innovative EO‑based solutions into end‑user operational systems and practices. The team is based at the ESRIN site of ESA and comprises nine Earth observation (EO) experts. Each expert specialises in overseeing specific domains where EO data are applied. The Applications team is part of the Green Solutions Division ( eo4society - eo science for society )