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Vacancies PostDoc Fellowship: Robotic and Electrical Stimulation Platform for Integral Neuromuscular Enhancement (RE-SPINE) Key takeaways Motor recovery after neuromuscular injuries is often sub
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relevant information General interest in space and space research Behavioural competencies Education You should have recently completed, or be close to completion of a PhD in cyber security, computer
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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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management related tasks will also be part of the candidate's responsibilities. Requirements Candidates are required to have a PhD degree in computer science, mathematics, electrical and electronic engineering
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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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, Utrecht University, and contributes to cutting-edge research on spatial reasoning, semantic technologies, and interdisciplinary AI for geosciences. Your qualities A PhD in Computer Science, Artificial
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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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, computer science, mathematics and engineering sciences in general. DTPA’s research focuses on developing quantitative and analytical theories, alongside advanced methodologies rooted in mathematical modeling