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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.
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.
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.
This position is available until 31 March 2030.
If you require any further details on the role please contact: Anh Khoa Doan (n.doan@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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