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adaptation to new EO tasks such as disaster response, biodiversity monitoring or land-use change detection; support generative EO applications such as synthetic data creation, gap-filling, and simulation
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quality assessment; further develop onboard AI models capable of real-time anomaly detection directly on the satellite, expanding the mission scope while reducing latency and data transmission needs (a
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centres; the opportunity to contribute to the Φ-lab strategy and activities. You are encouraged to visit the ESA website: https://www.esa.int/ Field(s) of activity/research for the traineeship The objective
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. The main objective is to maximise the scientific return of the missions for the benefit of humankind. The Science Engagement and Oversight Office and the Science and Operations Department also support
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Trainees, National Trainees, Interns and Visiting Researchers, as applicable; conduct fundamental research on (hybrid) quantum computing algorithms (e.g., error detection/mitigation techniques, quantum