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for space applications; Leading the centre of excellence for advanced simulation methods including scientific data processing and databases, software applications including human-computer interfaces, support
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distributed devices (smartphones, wearables) to learn from new data streams over time (Continual Learning) while collaborating globally (Federated Learning). Analyze Mobile & Wearable Data: You will work with
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for phishing, malware distribution, and other cybercriminal activities. The speed and volume of these registrations pose a persistent challenge for defenders, who are often forced into a reactive cycle, not to
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of the project is to develop and operate a tailored, near-real-time geodetic monitoring approach that provides reliable, transparent, and interpretable 3D surface displacement estimates. The research will focus
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, and how can uncertainty estimation, constraints and traceability be embedded? How will your proposed research contribute to ESA and, more generally, Europe’s long-term security resilience and strategic
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participation in reviews Experience in technology roadmap definition and harmonisation Behavioural competencies Education A master’s degree in telecommunications, electrical or computer engineering is required
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specification and evaluation, is required. Experience with the design, development and verification of TT&C and PDT subsystems for space applications is required. Very good knowledge of modern computer systems
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the field of EMC in general, with demonstrated expertise in analysis and proven practical experience in testing. Expertise with analogue electronics design, computer-aided design or electromagnetic simulation
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, sun and Earth sensors, gyroscopes, accelerometers and Inertial Measurement Units, magnetometers, magnetic torquers, …); fostering the utilisation of advanced control, estimation, verification and