Interpretable Data-Driven Modelling of Fuel Cells

Company: Imperial Enterprise
Apply for the Interpretable Data-Driven Modelling of Fuel Cells
Location: London
Job Description:

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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Posted: October 5th, 2026