Imperial College London invites applications for a Research Assistant or Associate in Data-Driven Modelling of Fuel Cell Dynamics. The role supports an Airbus- ATI-funded project to develop data-driven modelling methods for hydrogen-powered aircraft, focusing on nonlinear dynamics and interpretable reduced-order models using SINDy.
The successful candidate will work with the Chemistry group and Mechanical Engineering group, contributing to modelling, data analysis, and validation with numerical
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Interpretable Data-Driven Modelling of Fuel Cells employer: Imperial Enterprise
Imperial College London is an exceptional employer, offering a dynamic work environment that prioritises safety and compliance within its residential buildings. With a strong commitment to employee development and collaboration, staff are encouraged to engage in meaningful projects that directly impact the university community. Located in the heart of London, employees benefit from a vibrant culture, diverse opportunities for growth, and the chance to be part of a prestigious institution dedicated to excellence.
