34 structures "https:" "https:" "https:" "IMT Atlantique" Fellowship positions at 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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environment. Where to apply Website https://www.timeshighereducation.com/unijobs/listing/408704/research-fellow-dig… Requirements Additional Information Work Location(s) Number of offers available1Company
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based on merit and ability and aspire to thrive in the diversity of our workforce. Where to apply Website https://www.timeshighereducation.com/unijobs/listing/408701/research-fellow-mol… Requirements
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Zamora-Gutierrez (https://www.southampton.ac.uk/people/65cf7s/doctor-veronica-zamora-gutierrez ). The position is fixed for 36 months (3 years). The postholder will lead research on bat ecology and the
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–dielectric–metal resonator platforms. The project develops hyperuniform disordered metasurfaces, a novel class of photonic structures in which structural correlations are precisely controlled to achieve
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(W.L.King@soton.ac.uk ). Working at the University of Southampton: Check out the staff benefits and why you should join us at The University of Southampton. Where to apply Website https
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to a flexible working approach. Where to apply Website https://www.timeshighereducation.com/unijobs/listing/407130/research-fellow-in-… Requirements Additional Information Work Location(s) Number
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the required level of assurance. Please upload your CV and covering letter with your application. Where to apply Website https://www.timeshighereducation.com/unijobs/listing/406760/research-fellow-age
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on Smart Fibre-Optic High-Power Photonics (HiPPo). The HiPPo programme (https://www.hippo-laser.co.uk/ ) is focused on understanding how to control the properties of fibre lasers, to go beyond the “fixed
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the mentorship of leading experts in one of the following priority research areas: Research area 1: Intelligent Structural Optimization using Physics-Informed Reinforcement Learning Research area 2: AI-Enhanced