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Field
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, aerodynamic noise, machine learning, stochastic algorithms, uncertainties This University of Sheffield PhD project is part of the EPSRC Centre for Doctoral Training in Sustainable Sound Futures programme
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Advertisement for the field of study such as: Automation engineering, electrical engineering, computer science, cybernetics, aerospace engineering, mechanical engineering, mathematics, mechatronics
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package should be prioritised are surprisingly difficult computational tasks. State-of-the-art high-performance algorithms are used to calculate routes for the vehicles in order to minimise costs and
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Robotics, Mechanical Engineering, Electrical Engineering, Computer Science, Applied Maths, Physics, or any related field Strong background in control theory, and/or optimisation-based algorithms Proficiency
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. The successful candidate will assist in developing novel algorithms and integrating them into robotic platforms, helping to push the boundaries of embodied intelligence in both research and practical deployment
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The project aims to develop innovative services to optimise the management
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from multiple systems and sources to answer key operational questions. Deep experience using a variety of data mining/data analysis methods to build and implement dashboards, models and algorithms
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of novel optimisation algorithms and the inclusion of richer sources of prior knowledge. You will be part of our bubbly, multi-disciplinary team that comprises both computational and wetlab scientists. You
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: Operational Research Applied Mathematics Computer Science Business Analytics A related quantitative field You will also bring experience in: Optimisation algorithms (exact methods and heuristics), Strong
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28 Oct 2025 Job Information Organisation/Company University of Nottingham Research Field Engineering » Computer engineering Engineering » Control engineering Engineering » Electrical engineering