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Field
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tackling the above challenges with novel system designs and tailored AI/ML based methods. Candidate’s profile A First Class Bachelors degree and/or Masters degree in a relevant subject (computer
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-ion batteries, rotating machinery, aircraft fuel system, APU, and electrical power generation system). A comprehensive test-bed for in-depth studies will be used for experiments for demonstration and
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effectors (https://www.youtube.com/watch?v=A_CTqVFJ7Jc). At the Rolls-Royce UTC, we have a unique capability to design, model, and develop robotic systems tailored for operations in restrictive environments
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Zero Touch Management (ZTM) system for wireless networks coupled with an intelligent coordination strategy, designed specifically to meet the unique needs of autonomous robot fleets. By harnessing
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the environment and generate physically feasible motion references. Reinforcement learning allows robots to learn control strategies. This dynamic framework surpasses traditional sense-plan-act pipelines
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, which can ultimately limit their justifiable performance, also advancing the design of both fusion and fission reactor components, and thereby contributing to increase their power density and decrease
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work together with the PhD candidate. Applicants are encouraged to familiarize themselves with our existing publications . In this work, there is also an expectation to be innovation-oriented, to help us
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and eventually inspire the innovative design of quiet airfoils by tuning the elasticity of trailing edge. Requirements: The candidate will have a 1st class undergraduate or Master’s degree
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environments. As a PhD student, you will conduct experiments using state-of-the-art facilities such as the Diamond Light Source and the Surrey Ion Beam Centre, design and test irradiated stainless steel samples
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Advances in computing, experiments, and information will continue to reshape engineering in the next decade. This PhD position will nurture a multidisciplinary innovator with the tools to unravel