15 computational-solid-mechanics Fellowship positions at The University of Southampton
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The University of Southampton are seeking to appoint a fixed term research fellow to facilitate and deliver a programme of research on a Faraday Institution funded project: SL2FBat - Sustainable
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Justin Sheffield. This project aims to transform our understanding of soil moisture (SM) variability and its interactions with land-atmosphere processes. The project will use cutting-edge modelling, data
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We are seeking to recruit a Research Fellow in Physical Oceanography to become a member of the School of Ocean and Earth Science at the University of Southampton. The successful candidate will be
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based at the School of Electronics and Computer Science, Southampton. The project is researching, developing and evaluating decentralised algorithms, meta-information data structures and indexing
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. To be successful in this role, you will have: A PhD (or nearing completion) in Physics (e.g. atomic physics, quantum optics, or solid-state physics) or closely related fields. Proven expertise in
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from two cruises in 2025. The successful candidate will have the opportunity to participate in data acquisition at sea. The position is based in the School of Ocean and Earth Science, which is located
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We are seeking a highly motivated post-doctoral researcher of high calibre to join our research program in the area of integrated silicon photonics. The position is funded by the EPSRC (Engineering
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and innovation (R&I) ecosystem. This is a unique opportunity to establish or expand your research programme in the UK, collaborate with world-class researchers, and contribute to national and global
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the laboratory of Professors Ward and Ober. Their interdisciplinary research program is dedicated to the development of novel antibody-based therapeutics that has led to several therapeutics that are currently in
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or more of: the use of micro/nanofabrication and materials characterization tools; computational multi-physics/electromagnetics modelling and/or the application of machine learning algorithms; experimental