Earth Observation AI/ML Trainee: Forestry Biodiversity

EUROPEAN SPACE AGENCY; Cisternole; In loco; EUR 13.000 - 20.000; Tempo pieno

Descrizione del lavoro

European Space Agency (ESA) seeks a Estonian National Graduate Trainee to work on AI/ML mapping of forestry biodiversity using EO data. The role focuses on developing forest indicators, land cover mapping, and ecosystem assessments within an international framework, leveraging BIOMASS and Sentinel data.

You will collaborate with EO experts at ESRIN, gain hands-on experience in cloud processing, and contribute to informing international biodiversity and climate policies.

Competenze

• Knowledge of Earth observation for forest monitoring and biodiversity assessment.

Mansioni

• Develop forest biodiversity indicators for protected areas.
• Map land cover and changes using long-term EO time series.
• Evaluate ecosystem condition and report findings to support policy.

Conoscenze

Earth Observation

Remote Sensing

Machine Learning

Python

Data Analysis

Teamwork

Formazione

Master’s degree in Forestry/Remote Sensing/Data Science

Strumenti

Python

R

GIS (QGIS/ArcGIS)

Jupyter

Cloud Computing

Descrizione del lavoro

European Space Agency (ESA) seeks a Estonian National Graduate Trainee to work on AI/ML mapping of forestry biodiversity using EO data. The role focuses on developing forest indicators, land cover mapping, and ecosystem assessments within an international framework, leveraging BIOMASS and Sentinel data.

You will collaborate with EO experts at ESRIN, gain hands-on experience in cloud processing, and contribute to informing international biodiversity and climate policies.