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with fabrication engineers to translate physical processes into machine learning models, design and train deep learning architectures, and evaluate their ability to generalise across different process
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, and evaluate their ability to generalise across different process conditions. The models you develop will not remain confined to the research lab, but will be validated experimentally and tested
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scenario analyses to examine how noise might evolve across different technological and operational futures and how it interacts with emissions, policy options and airport‑level constraints. This is a key
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(s.afshan@soton.ac.uk ) for further information about this position in advance of submitting your application. Applicants should hold a PhD in Structural Engineering or equivalent professional qualifications
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simulations; (ii) diagnose and attribute the physical mechanisms driving inter-model differences in recovery; and (iii) design and run targeted mechanism-denial experiments (e.g., in CESM and related Earth
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working with us website pages. Please note: successful applicants will be appointed to a different salary range (£46,675 to £62,502 ) if they were at ST3 on or before 2 August 2016.
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are invited to contact Dr Sheida Afshan (s.afshan@soton.ac.uk ) for further information about this position in advance of submitting your application. Applicants should hold a PhD in Structural Engineering or
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of their PhD, potentially waiting for their final viva voce examination, which must be passed prior to taking up the award. ECRs will not have held a permanent academic post or a permanent post with a research
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-being and work-life balance, please see our working with us website pages. Please note: successful applicants will be appointed to a different salary range (£46,675 to £62,502 ) if they were at ST3
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Researchers (ECRs) have completed or are close to completion of their PhD, potentially waiting for their final viva voce examination, which must be passed prior to taking up the award. ECRs will not have held a