Research Assistant or Associate in Computational and Machine Learning Tools for Extreme Events in Engineering Fluid Flows

Imperial Enterprise; Greater London; On-site; GBP 42,000 - 60,000; Full time

Benefits offered by this job

39 days off a year

Generous pension schemes

Travel to international conferences

Job summary

Imperial College London invites applications for a Research Assistant or Associate in Computational and Machine Learning Tools for Extreme Events in Engineering Fluid Flows. The role focuses on developing hybrid simulation and machine learning tools to forecast and control extreme events in turbulent, reacting flows.

You will interface high-fidelity simulations with ML libraries and deploy on high-performance computing facilities, applying the framework to engineering-relevant flows such as

Qualifications

• PhD in Aerospace/Mechanical Engineering, Physics, Computer Science or closely related field.
• Strong background in CFD, HPC, ML, fluid mechanics.
• Reacting flow experience desirable but not required.

Responsibilities

• Develop computational methods for forecasting and control of extreme events in turbulent (reacting) flows.
• Interface high-fidelity simulation codes with machine learning libraries and deploy on HPC centers.
• Develop and apply the hybrid simulation/ML framework to flows such as flashback in hydrogen reacting flows.
• Collaborate within the CONTEXT ERC project and contribute to publishing and dissemination.

Skills

high-fidelity CFD

high-performance computing

machine learning

fluid mechanics

Education

PhD in Aerospace Engineering or closely related discipline

Masters degree (for Research Assistant)

Tools

CFD software

Job description

Research Assistant or Associate in Computational and Machine Learning Tools for Extreme Events in Engineering Fluid Flows

This post (Research Assistant/Associate in Computational and Machine Learning Tools for Extreme Events in Engineering Fluid Flows) is dedicated to developing hybrid simulation/machine learning tools for the prediction and control of extreme events in engineering-relevant flows.

These are rare events where the flow suddenly takes extreme states far from its normal state. These extreme events are becoming increasingly important as, the next generation of sustainable engineering flow systems will need to operate in more extreme environments or could themselves exhibit extreme behaviours. Of particulars risks are potential extreme events involving carbon-free fuels in future sustainable propulsion systems such as flashback which can occur with hydrogen or blow-off with ammonia.

What you would be doing

You will develop computational methods for the forecasting and control of extreme events in turbulent (reacting) flows. This will include interfacing high fidelity simulation codes with machine learning libraries and deploying them on high-performance computing centres. You will develop and apply this hybrid framework on engineering-relevant flows such as flashback in hydrogen reacting flows.

What you would be doing:

You will develop computational methods for the forecasting and control of extreme events in turbulent (reacting) flows. This will include interfacing high fidelity simulation codes with machine learning libraries and deploying them on high-performance computing centres. You will develop and apply this hybrid framework on engineering-relevant flows such as flashback in hydrogen reacting flows.

What we are looking for

Research Associate: Hold a PhD in Aerospace Engineering, Atmospheric Physics or a closely related discipline, or equivalent research, industrial or commercial experience

Research Assistant: A first / masters degree (or equivalent) in Aerospace Engineering, Atmospheric Physics, or a closely related discipline

*Candidates who have not yet been officially awarded their PhD will be appointed as Research Assistant.

• You should hold, or be close to completing, a PhD in Aerospace/Mechanical Engineering, Physics, Computer Science, Applied Mathematics, or a related field.
• Strong background in one or more of the following areas: high-fidelity CFD, high-performance computing, machine learning, fluid mechanics, or related fields.
• Prior experience in reacting flow is highly desirable but not essential

What we can offer you

• Integration in a wider team working on extreme events in fluids under the European Research Council project CONTEXT
• A highly flexible role in which you will have the opportunity to collaboratively identify and define your research objectives.
• The opportunity to gain supervision and project management experience.
• Ample scope for travelling to international conferences to disseminate the work done.
• Ample scope for publishing in leading journals.
• 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

This position is available until 31 March 2030.

*If you require any further details on the role please contact: Anh Khoa Doan ([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.

If you have any general queries about this vacancy, please contact the hiring manager listed in the ‘Further Information’ section. Alternatively, you can contact the Recruitment Hub at [e-mail], and we will be happy to assist you.

If you experience any technical issues that prevent you from submitting an application, please contact our Technical Support team at [e-mail] , who will be able to help resolve the issue.

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.

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

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We work towards equality of opportunity, eliminating discrimination, and 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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