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scientific trends and results, as input to the strategic planning of the Agency. The team entered the field of computer science and applied mathematics in 2004, performing research related to discrete
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assessment. You will be provided with access to various engineering and computation toolsets along with the high-performance computer. A good background in numerical methods and computational platforms is
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for this position, the following is required: PhD in systems engineering, computer science or informatics, and the subject of the thesis should be relevant to the task description provided above (e.g. digital twin
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: autonomous and fault-tolerant systems (including health monitoring systems), advanced guidance, control, estimation and optimisation techniques and tools, and the technology development of GNC sensors with a
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); units such as onboard computers, mass memories, remote terminals and instrument control units*; digital and analogue signal processing electronics for payload/platform functions; front-end acquisition and
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alignment with the strategic directions of the STS PNRR programme. Scientifically, you will in particular: propose and conduct rigorous research in the field of model-based digital system engineering and
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on the resulting algorithms and pipelines. As an emerging paradigm, differentiable programming builds upon several areas of computer science and applied mathematics, including automatic differentiation, graphical
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, avionics systems, systems engineering and integration, mechanical systems, assembly, integration and testing, product assurance and safety, and security. The Team interacts closely with academia and the
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-world environments will require rigorous testing and validation. Portability and Performance: Balancing the need for lightweight portability with the computational demands of high-fidelity simulations is