18 development-"https:"-"https:"-"https:"-"Univ"-"St" Fellowship positions at The University of Southampton
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’ integration with silicon nitride photonic structures” (NANORETINA) project you will develop optoelectronic arrays, based on advanced photoactive materials, such as organic, perovskites and two-dimensional
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optimisation before physical manufacturing begins. This project aims to develop advanced deep learning models capable of predicting fabrication outcomes and guiding fabrication recipe optimisation. By learning
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. This position focuses on the development of innovative microfluidic-based sensors for continuous, in-situ chemical and biochemical analysis. About the Role: The successful candidate will join a dynamic research
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Si photonics and material integration technology, while Southampton can provide the state-of-the-art MEMS, NEMS, and Metasurface technologies. Starting from the development of individual MEMS/NEMS
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to develop a novel glass fibre-reinforced polymer (GFRP)–steel–concrete tower-to-monopile transition structure for offshore wind turbines, with a focus on improving structural efficiency, durability, and ease
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postdoctoral fellow to be part of our team to advance our Rapid Pulsed Laser Deposition (RPLD) technology and ultimately develop a new class of active mirror to underpin the next generation of thin-disk lasers
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addition to the essential disciplinary research skills, candidates should demonstrate a genuine enthusiasm for collaborative working, the ability to communicate effectively across disciplines, and well-developed
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‑leading centre dedicated to transforming how people affected by cancer are supported. Our research focuses on understanding the psychosocial impact of cancer on everyday life and developing and testing
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effectively across disciplines, and well-developed organisational skills. In this role, your primary focus will be the characterisation and understanding of TMDC-based nanoelectronic devices, such as
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. Funded by Innovate UK through a Knowledge Transfer Partnership (KTP), the Fellow will lead the development of an end-to-end AET testing framework, encompassing data assembly, software interfacing, test