Teesside University invites applications for a Research Associate to join an externally funded project focused on AI-enhanced reliability assessment and optimisation of offshore cables and CPS components. You will develop AI predictive models, quantify uncertainties, and optimise methods for integration into an engineering software platform, working with researchers and industrial partners.
The role involves processing simulation data, developing ML workflows, and contributing to model
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AI-Powered Reliability & Optimisation for Offshore Cables employer: Teesside University
Teesside University London is an exceptional employer, offering a supportive and collaborative work environment that fosters academic excellence and professional growth. With a commitment to hybrid working, employees enjoy flexibility while engaging in meaningful mentorship of DBA candidates, contributing to innovative programme development, and participating in enriching workshops. The university prioritises employee development, ensuring that staff have access to resources and opportunities for continuous learning and advancement in their academic careers.
