41 structural-engineering "https:" "https:" "https:" "https:" "https:" "https:" "Multiple" PhD positions at University of Nottingham
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University of Nottingham – School of Chemistry PhD roles 2026: Multiple projects The School of Chemistry at the University of Nottingham is recruiting ambitious, curious and highly motivated
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components are designed and produced. This PhD project focuses on Molten Metal Jetting (MMJ), an emerging metal 3D printing technology that enables the precise fabrication of multi-material metallic structures
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Fully Funded PhD Studentship: Micromechanics of Grain-Interface Interactions (Soil-Structure Interaction) Background Are abrasive grains truly "indestructible"? Research in our leading experimental
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components are designed and produced. This PhD project focuses on Molten Metal Jetting (MMJ), an emerging metal 3D printing technology that enables the precise fabrication of multi-material metallic structures
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This PhD is part of the The Fusion Engineering Centre for Doctoral Training (CDT), at the University of Nottingham and has industrial collaboration, being co-supervised by a member of staff at
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with a 1st class degree in engineering, maths or a relevant discipline, preferably at Masters level (in exceptional circumstances a 2:1 degree can be considered). To apply visit: http
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Supervisors: Prof Ioan Notingher (School of Physics and Astronomy) Dr George Gordon and Dr Abdelkhalick Mohammad (Faculty of Engineering) Funding: fully-funded (stipend and PhD fees) Start date
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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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PhD project: Modelling Reliability and Resilience of Hydrogen Systems for Improved Safety and Sustainability Supervised by: Rasa Remenyte-Prescott (Faculty of Engineering, Resilience Engineering
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Rolls-Royce University Technology Centre (UTC) in Manufacturing and On-Wing Technology The growing field of soft robotics has unlocked new possibilities for robotic systems to navigate uncertain and