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collaborative research. The environment is ideal for students passionate about space, navigation, and innovation. Candidates interested are encouraged to visit the ESA website: http://www.esa.int Field(s) of
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develop methods for efficient covariance/uncertainty propagation that are suitable for embedded use on space processors. The goal is to develop methods that can be used to perform real-time covariance
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to visit the ESA website: http://www.esa.int Field(s) of activity for the internship Topic of the internship: Artificial Intelligence for Earth Observation Artificial Intelligence is increasingly
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are encouraged to visit the ESA website: http://www.esa.int Field(s) of activity for the internship Topic of the internship: MBSE application to EGNOS (sub)systems The EGNOS V3.1 System is composed of 39 Remote
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production and storage; Radiation shielding; In Situ Resource Utilization (ISRU); VR/AR technologies for exploration; Embedded systems and IoT; Exercise hardware and countermeasure concepts; Machine learning
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behavioural skills. The group’s primary output is focused around two training programmes, CAVES, a course that uses natural cave systems for expeditionary and human behavioural and performance training, and