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Field
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The project: This project aims to develop advanced, untethered soft artificial muscles for next-generation power clothing, exosuits, and assistive wearables . Current wearable actuators rely
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This PhD focuses on the development of a novel approach to measuring the traction behaviour of artificial turf, supported by FieldTurf, a global leader in the production of artificial turf for sport
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. These problems have been compounded by the emergence of Artificial Intelligence. New forms of algorithmic manipulation have been used to sow discord in democratic societies, undermine trust in politics, and erode
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PhD Studentship: Artificial Intelligence for Building Performance – Optimising Low-Pressure Airtightness Testing Supervisors: Dr Christopher Wood (Faculty of Engineering) and Dr Grazziela Figueredo
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Eligibility: Home students only | Minimum 2:1 in a relevant discipline Stipend: Home students only | £20780 + £2500 industry top up (per annum (tax free)) Overview This exciting, fully-funded PhD opportunity
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of artificial intelligence (AI) nowadays, it has become possible to develop a fast-response AI-based condition monitoring system for gas turbine engines. The objective of the project is to develop novel AI-based
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supervisors, we strive to create an enjoyable, inclusive, and productive team environment. You are encouraged to contact us and speak with previous PhD students about what to expect (e.g. see SHOALgroupalumni
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PhD studentship: Improving reliability of medical processes using system modelling and Artificial Intelligence techniques Supervised by: Rasa Remenyte-Prescott (Faculty of Engineering, Resilience
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a team to undertake a PhD in the Optics and Photonics Research Group (OPG), supervised by Dr. Mitchell Kenney alongside collaborators within OPG and Life sciences. (https://www.nottingham.ac.uk
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Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country United Kingdom Application Deadline 15 Sep 2025 - 23:59 (Europe/London) Type of Contract Temporary Job Status Full-time Offer