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

Imperial Enterprise; Greater London; On-site; GBP 38,000 - 48,000; Full time

Benefits offered by this job

39 days off a year

Generous pension schemes

Job summary

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

Qualifications

• Strong background in fuel cell systems and the numerical modelling of electrochemical systems.
• Experience in machine learning and data-driven modelling.
• PhD or equivalent research experience in a relevant field.

Responsibilities

• Develop nonlinear dynamic models of fuel cell electrochemistry and interpretable reduced-order models using SINDy.
• Work with the Chemistry group and Mechanical Engineering group to analyse numerical and experimental data.
• Contribute to improving design, control, performance and reliability of fuel cell systems.

Skills

Fuel cell systems

Numerical modelling

Machine learning

Data-driven modelling

Education

PhD in Aerospace Engineering, Chemistry, or related discipline

Master's degree in Aerospace Engineering, Chemistry, or related discipline

Job description

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

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 developingnonlinear dynamic modelsof fuel cell electrochemistry and on identifyinginterpretable reduced-order modelsfor fuel cell control using theSparse Identification of Nonlinear Dynamics (SINDy)algorithm applied tonumerical and experimental data. You will work closely with theChemistry group of Prof Anthony Kucernak and theMechanical Engineering group of Dr Ludovic Renson .

What we are looking for

You should have a strong background in fuel cell systems and thenumerical modelling of electrochemical systems, together with experience inmachine learning anddata-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.
• 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 - [e-mail]

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 [e-mail] . We're here to help.

Attached documents are available under links. Clicking a document link will initialize its download.

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.

We reserve the right to close the advert before the stated closing date, should we receive a high volume of applications. It is therefore advisable that you submit your application as early as possible to avoid disappointment.

If you encounter any technical issues while applying online, please don't hesitate to email us at [e-mail]. We're here to help.

About Imperial

Welcome to Imperial, a global top-ten university where scientific imagination leads to world-changing impact.

Join us and be part of something bigger. From global health to climate change, AI to business leadership, here at Imperial we navigate some of the world's toughest challenges. Whatever your role, your contribution will have a lasting impact.

As a member of our vibrant community of 22,000 students and 8,000 staff, you'll collaborate with passionate minds across nine London campuses and a global network.

This is your chance to help shape the future. We hope you'll join us at Imperial College London.

Our Culture

We work towards equality of opportunity, to eliminating discrimination, and to creating an inclusive working environment for all. We encourage applications from all backgrounds, communities and industries, and are committed to employing a team that has diverse skills, experiences and abilities. You can read more about our commitment on our web pages .

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