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objectives with societal indicators, geophysical algorithm development and related research activities; supporting the implementation of the renewed ESA EO science strategy and the definition of future
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operational efficiency through streamlined interfaces while highlighting the uniqueness of each EO science mission thanks to ad-hoc developed elements (notably in the processing and in the data quality domain
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processing; ensuring the provision of necessary instrument inputs for the development of level 1 processing tools/algorithms and the associated ground processor prototype; ensuring the timely availability
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Research and Development (R&D) Unit. Our R&D Units are the cornerstone of the Institute’s organizational structure. These units may focus on either foundational methods or application domains and are
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of Earth observation, navigation, science, and connectivity and secure communications. The AOCS and Pointing Systems Section carries out technological research and development, harmonisation and
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Recognition Machine Learning and Pattern Recognition are subareas of AI aimed at the development of algorithms and models capable of learning from data, recognizing patterns, and signal analysis. Tasks include
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at the development of algorithms and models capable of learning from data, recognizing patterns, and signal analysis. Tasks include image and speech recognition, recommendation systems, and predictive analytics
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for recognition of planetary materials from multispectral datasets. Interns are sought to contribute to the ongoing development of Machine Learning algorithms for recognition of planetary materials from