46 programming-"https:"-"FEMTO-ST"-"UCL" "https:" "https:" "https:" "https:" "https:" "Dr" "P" PhD positions at University of Nottingham
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of Dr Shreyank N Gowda within a supportive and vibrant research environment that encourages collaboration, publication in top-tier venues, and engagement with the wider AI community. Candidate
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skills with understanding of engineering design principles. Any experiences with CAD/CAM systems and programming are preferred. Funding Support The University promotes equality, diversity, and inclusion
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of Nottingham, but should expect to engage fully with the 3-month full-time training programme in the Fusion Engineering CDT at the start of the course (October to December inclusive). CDT training will be
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Supervisor: Dr Qian Yang, Dr Rebecca Ford, Prof Ian Fisk Subject Area: Sensory Science Research Title: Understanding sweetness and flavour perception in frozen desserts Research Description: Sweet
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are invited to undertake a three-year PhD programme in partnership with industry to address key challenges in on-platform manufacturing engineering. The successful candidate will be based at the Rolls-Royce
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state-of-the-art equipment, including both commercial tools and bespoke in-house apparatus, in collaboration with Dr Adam Dundas and Dr Parimala Shivaprasad. As a key member of our teams, you will play a
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Area Chemistry Location UK Other Closing Date Thursday 31 December, 2025 Location: Diamond Light Source, UK / University of Nottingham, UK Contact: Dr David Duncan Starting date: July 2026 (earlier
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note that, due to funding restrictions, this studentship is only available to UK (home fees) citizens. Application Process Informal enquiries may be addressed to: Dr Stephen Ambrose – Stephen.Ambrose3
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3-year PhD studentship: Scaling-Up Functional 3D Printing of Devices and Structures Supervisors: Professor Richard Hague1 , Professor Chris Tuck1 , Dr Geoffrey Rivers1 (1 Faculty of Engineering) PhD
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for clean energy technologies and develop the expertise that top employers and research institutes are seeking. The project is supervised by a strong interdisciplinary team: Dr Zakhar Kudrynskyi (advanced