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, spectroscopy, and electrical performance measurements. You will work closely with fabrication engineers to translate physical processes into machine learning models, design and train deep learning architectures
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Machine Learning Researcher to join a multidisciplinary team of fabrication engineers and AI specialists at the University of Southampton, within the School of Electronics and Computer Science, working in
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Growth of Functional 1D and 2D Metal Dichalcogenide Semiconductors) Programme Grant recently announced by the UK Engineering and Physical Sciences Research Council (EPSRC). EXPRESS is a large (£10M
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Precursors for the Electrochemical Growth of Functional 1D and 2D Metal Dichalcogenide Semiconductors) Programme Grant recently announced by the UK Engineering and Physical Sciences Research Council (EPSRC
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physics, Aerodynamics, Mechanical, or Aerospace Engineering. Essential criteria include experience in numerical modelling of plasma flows and discharge, with desirable expertise in plasma diagnostics and RF
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16 Mar 2026 Job Information Organisation/Company UNIVERSITY OF SOUTHAMPTON Research Field Computer science Engineering Researcher Profile First Stage Researcher (R1) Application Deadline 10 Apr 2026