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leverage large-scale AI models to: integrate heterogeneous EO data sources, such as satellite, aerial and in-situ data, across spatial and temporal scales; enable zero-shot or few-shot learning for rapid
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new models that integrate EO data and advanced technologies such as AI into macroeconomic and socio-economic frameworks. Main research topics: conduct a global macroeconomic analysis of the global Earth
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staff in the Directorate of Earth Observation Programmes and in particular with the Actionable Climate Information Section. You will be part of the ESA Φ-lab. Our mission is to accelerate the future
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to: fuse CHIME hyperspectral data with Sentinel-2’s (or other satellites’) multispectral imagery to enhance spatial and temporal resolution for precision agriculture, land degradation monitoring or water
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high-level products; contribution to the development and curation of open data sets and tools enabling the community to develop its own AI for applications and research. support the definition and
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end of operations; they develop the science operation systems for the missions and conduct the mission science operations in flight; they archive and curate the mission data during operations and beyond