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This studentship is open to UK students only The School of Chemistry at the University of Nottingham welcomes PhD applications in Theoretical and Computational Chemistry. The studentship is fully
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Subject area: Drug Discovery, Laboratory Automation, Machine Learning Overview: This 36-month PhD studentship will contribute to cutting-edge advancements in automated drug discovery through
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, is needed. The project will motivate the PhD student to develop next generation electric motors with advanced CNT windings for electric vehicle traction and aerospace propulsion, featuring improved
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. Proposed project This 3.5-year PhD project aims to develop a comprehensive railway network delay propagation model capable of addressing a wide range of disruptions and response strategies. The project will
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(including 7 full professors) and approximately 120 PhD students and post-doctoral research fellows. The group has excellent facilities for experimental work including approximately 2500m2 of research space
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at the University of Nottingham. We are seeking applications to join our multidisciplinary team of currently 8 academics, 7 research fellows, and 15 PhD students investigating novel multinary Reactive Hydride
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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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machines can be designed and built with 3D architectures that enable significantly boosted electromagnetic, mechanical and thermal performance is yet to be developed. The project will motivate the PhD
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approx. £15-17k across full PhD programme). Monthly stipend based on £20,780 per annum, pro rata, tax free. Working hours: Full-time (minimum 37.5 hrs per week). Working style: Primarily in-person at host
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PhD project: Modelling Resilience of Water Distribution Networks Supervised by Rasa Remenyte-Prescott (Faculty of Engineering) Aim: To develop an modelling approach for assessing water network