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against threats. Some technologies NAVISP is already actively working on are: phased array antennas, artificial intelligence for anomaly detection, quantum sensors as robust alternatives, sensor fusion and
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) Topic 4: On-board Digital Signal Processing and Machine Learning/Artificial Intelligence The objective of this topic is to model and implement functions commonly used in on-board processing, assessing
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. Knowledge of Artificial Intelligence is required. Some knowledge on the following topics would be an asset: system engineering; Global Navigation Satellite Systems (GNSS) [GPS] [GALILEO]; Satellite Based
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innovative solutions - in terms of technology and methodology - enhancing its effectiveness: Artificial Intelligence, Advanced Simulation, Augmented Reality, Concurrent and Collaborative Engineering, Cost
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for applying to this role will be explored. Knowledge and background in one or more of the following domains is an asset: artificial intelligence and data science: understanding of machine learning and deep
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GNC sensors and actuators; Autonomous Navigation systems including data fusion, vision-based navigation and hybrid navigation concepts, guidance & optimisation techniques, including artificial
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GNC sensors and actuators; Autonomous Navigation systems including data fusion, vision-based navigation and hybrid navigation concepts, guidance & optimisation techniques, including artificial
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part of the system engineering and satellite engineering section in activities related to Onboard Satellite Artificial Intelligence Processing and the evaluation of end-to-end mission performances
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with their own strengths depending on the workload. For high computationally demanding tasks—such as high-resolution data and image processing or artificial intelligence (AI) inference—hardware
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Location EAC, Porz-Wahn, Germany Our team and mission The Software and Artificial Intelligence Team drives innovation in HRE projects and initiatives across diverse exploration destinations such as