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Field
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Fellow in Autonomous Systems and Control to design and implement efficient, performance‑guaranteed distributed control approaches, leveraging cutting‑edge learning algorithms and AI strategies
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work on a project to conduct research for human robotic teaming, in particular: Perform optimization on complex system subject to various constraints. Design and develop real-time algorithms. Simulate
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programming and data analysis. Interest in developing methods, algorithms or software. Evidence of publications in high-quality peer-reviewed journals. Excellent communication skills. Experience
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) lead market analysis, requirements gathering, and conceptual design; (b) optimise electromagnetic design of motor through simulations; (c) develop control algorithms and models; (d) guide
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position is part of the AI2 (Algorithmic Assurance and Insurance) research initiative, an ambitious programme supported by the UK Prosperity Research Scheme with partners from both industry and academia. Our
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to research-based activities, including the development of new data analysis algorithms, processing and analysis of field data, and participation in the fieldwork. Your responsibilities will include: Conduct
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individually, make a real difference. About the role The Department of Computer Science at the University of Surrey is seeking to recruit a full-time postdoctoral research fellow to work on a range of topics in
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. The position will focus on developing and optimizing control algorithms for exoskeleton robotic systems, aimed at improving human mobility and assisting individuals for lifestyle physical activities. The ideal
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employment that the PhD Research Fellow is enrolled in USN’s PhD-program in PhD in Technology within three months of accession in the position. It may be possible to get a four-year full-time period consisting
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. In this role, you will be part of the research team, working to develop and evaluate privacy-preserved Generative AI algorithms for generating synthetic Personal Identity Information (PII). This aims