39 phd-scholarship-for-solid-mehanical-engineering-in-image-processing Fellowship positions at UNIVERSITY OF SOUTHAMPTON
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system You should hold a PhD (or equivalent experience) in Plasma Physics, Electrical or Aerospace Engineering. Experimental experience is essential; CFD or non-thermal plasma and power electronic design
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project team working on a range of topics in the field of high-power lasers. Applicants should have a PhD (or equivalent professional qualifications and experience) in Physics, Engineering or a related
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About the Role We are seeking to recruit a Research Fellow in Climate Dynamics to become a member of the School of Ocean and Earth Science at the University of Southampton . The successful candidate
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well as international collaborators to lead scientific projects on AGN identification, and measurement of supermassive black hole and host galaxy masses using imaging and spectroscopic data from ground and space. The
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hold or be in the final stages of a PhD in a subject relevant to the project. You will have experience handling large passive seismic datasets and processing and analysing seismicity data. You will also
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diagnostics and build your growing research profile. Collaborate closely across disciplines, including genomics, clinical medicine, statistics, software engineering, and compute infrastructure to co‑create
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present your work at international conferences About you A PhD* or equivalent qualification/experience in Computer Science, NLP, AI, or a related field. Strong experience in natural language processing
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The University of Southampton is a world-leading institution for aircraft noise research, home to the Rolls-Royce University Technology Centre in Gas Turbine Noise at the Institute of Sound and
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3 Mar 2026 Job Information Organisation/Company UNIVERSITY OF SOUTHAMPTON Research Field Engineering Researcher Profile First Stage Researcher (R1) Application Deadline 13 Mar 2026 - 00:00 (UTC
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application of innovative Machine Learning (ML) frameworks to understand and predict the global hydrological cycle. The role will require bridging the gap between process-based physical modeling and scalable