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Field
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. Despite some success stories of the use of ultrasound/AE-based technologies for CM of low-speed bearings, high investment cost for hardware and software is the main bottleneck in adopting these technologies
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accelerated in the last few years along with the booming of digital technologies. One of the key elements for a successful implementation of the PdM strategy is the usage of technologies that can effectively
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turbulence, and use this knowledge to identify control strategies through deep reinforcement learning. The methods developed in this project will directly contribute to designing novel porous media
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the recruitment system, please use the “Apply now!” link below. Please send your application by 15.6.2025 at the latest. We cannot unfortunately consider applications sent us via email. The required documents
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of generative models by introducing a training regime inspired by the Thinking, Fast and Slow paradigm. Recently, the use of RL has been shown to significantly improve the performance of LLMs. The goal
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of mechanical and robotic systems •Ability to use finite element modelling and to simulate complex mechatronics •Ability to implement control and kinematics with hardware-in-the–loop •Background with relevant
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internships An additional disability allowance can be provided where appropriate Students opting to study part-time will receive a pro-rata maintenance stipend. Specified use +3/+4 - covering a full PhD
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internships An additional disability allowance can be provided where appropriate Students opting to study part-time will receive a pro-rata maintenance stipend. Specified use +3 - covering a full PhD programme
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For further information and informal discussion please contact Professor Shuisheng He at s.he@sheffield.ac.uk. To apply, please use our on-line PhD application form, including your CV and two references and
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in recognition of our good employment practices for the advancement of gender equality. We also hold a Race Equality Charter Bronze award in recognition of our work towards tackling race inequality