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Field
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latency, packet loss, and other uncertainties. The central research objective is to develop a passivity-based, controller-agnostic safety layer that enables human and AI-generated control commands to be
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. Depending on the candidate's background and interests, the project may also involve acoustic hardware, numerical simulations, phantom development, and translation of the resulting methods toward biomedical
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planetary atmospheres. The Section also initiates and manages a wide range of related modelling, software and hardware R&D activities. You are encouraged to visit the ESA website: https://www.esa.int/ Field(s
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into closed-loop control frameworks Test and validate control algorithms through simulation, hardware-in-the-loop testing, and/or physical testbeds Apply machine learning techniques to predict thermal system
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including hardware in the loop, and relevant industrial case studies, assessing its robustness and computational performance. Collaborate with researchers and industrial partners, contribute
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possible. We are developing mechanical intelligence as applied to aerial robotics. The focus will be on hardware development and experimental validation up to and including flight testing. Candidates should
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benchmark the developed framework using project data, high-fidelity simulations including hardware in the loop, and relevant industrial case studies, assessing its robustness and computational performance
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Research Infrastructure? No Offer Description Full time, fixed term for 12 months Opportunity to advance research in AI Hardware Acceleration Base Salary $93,424 - $125,896 + 17% superannuation About the
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Location ESTEC, Noordwijk, Netherlands Our team and mission The Independent Safety Office is responsible for overseeing the development, implementation, maintenance and certification of compliance
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laboratory hardware. You are interested in instrument automation and quantitative data analysis. Experience with Python, LabVIEW, or Matlab for instrument control/data processing is required, but you do not