Research Assistant or Associate in Data-Driven Modelling of Fuel Cell Dynamics

Imperial College London South Kensington, United Kingdom
Researcher / Scientist Aircraft Machine Learning Electrochemistry 21 days left

About the position

Location: South Kensington (Hybrid) About the role: We are looking for a Postdoctoral Research Associate to join an Airbus- and Aerospace Technology Institute (ATI)-funded project to develop data-driven modelling methods for next-generation hydrogen-powered commercial aircraft. This post is one of three postdoctoral positions within the wider Airbus-ATI project developing computational and experimental methods to build interpretable models of the complex, nonlinear dynamic behaviour of fuel cells. These models will provide an in-depth understanding of fuel cell behaviour under different operating conditions, helping to improve design, control, performance, and reliability. What you would be doing: You will focus on developing nonlinear dynamic models of fuel cell electrochemistry and on identifying interpretable reduced-order models for fuel cell control using the Sparse Identification of Nonlinear Dynamics (SINDy) algorithm applied to numerical and experimental data. You will work closely with the Chemistry group of Prof Anthony Kucernak and the Mechanical Engineering group of Dr Ludovic Renson. What we are looking for: You should have a strong background in fuel cell systems and the numerical modelling of electrochemical systems, together with experience in machine learning and data-driven modelling. Research Associate: Hold a PhD in Aerospace Engineering, Chemistry, or a related discipline, or equivalent research, industrial or commercial experience Research Assistant: A first / masters degree (or equivalent) in Aerospace Engineering, Chemistry, or a closely related discipline. *Candidates who have not yet been officially awarded their PhD will be appointed as Research Assistant. What we can offer you: - The opportunity to join a large research team across three departments at Imperial. - The opportunity to continue your career at a world-leading institution and be part of our mission to continue science for humanity. - Grow your career: Gain access to Imperial’s sector-leading dedicated career support for researchers as well as opportunities for promotion and progression - Sector-leading salary and remuneration package (including 39 days off a year and generous pension schemes). Further information If you require any further details on the role please contact: Dr Urban Fasel – u.fasel@imperial.ac.uk Please note that job descriptions are not exhaustive, and you may be asked to take on additional duties that align with the key responsibilities mentioned above. If you encounter any technical issues while applying online, please don't hesitate to email us at support.jobs@imperial.ac.uk. We're here to help.

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