|Salary:||£36,045 to £48,340 p.a.|
|Placed On:||9th November 2021|
|Closes:||2nd December 2021|
Location: South Kensington
“New generation of optimisation algorithms for turbulent flows”
The central aim of the EPRSC-funded project is to develop the new generation of optimisation algorithms for turbulent flows. When scale-resolving simulations (like DNS or LES) are employed to optimise time-average quantities (like lift or drag), existing algorithms that are based on adjoint sensitivity fail; this is due to the chaotic nature of turbulence, a phenomenon popularly known as the `butterfly effect'. Recently a new approach, called least squares shadowing, was proposed to overcome his problem. The resulting algorithm however does not scale well for turbulent flows.
In this project, we plan to devise and develop new shadowing algorithms that achieve superior computational efficiency by exploiting known structural properties that are unique to turbulence. Specifically, we will leverage tools that provide compact representation of turbulent fluctuations, such as Resolvent Analysis and Proper Orthogonal Decomposition, to obtain efficient shadowing algorithms that are tailored to turbulent flows. We will demonstrate the performance of the newly developed methods to flow reconstruction using data assimilation in a boundary layer flow. Collaborators in this work are researchers from University of Southampton, MIT and University of Reading.
Duties and responsibilities
Those appointed at Research Associate level
Hold a PhD (or equivalent) in Engineering or a closely related discipline.
Those appointed at Research Assistant level
A first / masters degree (or equivalent) in Engineering or a closely related discipline.
*Candidates who have not yet been officially awarded their PhD will be appointed as Research Assistant level.
*This post is full time, fixed term for 42 months (or 31 Mar 2025 whichever is earliest)
Should you require any further details on the role please contact: Prof. G. Papadakis
For technical issues when applying online please email firstname.lastname@example.org
For queries regarding the recruitment process please contact Lisa Kelly: email@example.com
The College is a proud signatory to the San-Francisco Declaration on Research Assessment (DORA), which means that in hiring and promotion decisions, we evaluate applicants on the quality of their work, not the journal impact factor where it is published. For more information, see https://www.imperial.ac.uk/research-and-innovation/about-imperial-research/research-evaluation/
The College believes that the use of animals in research is vital to improve human and animal health and welfare. Animals may only be used in research programmes where their use is shown to be necessary for developing new treatments and making medical advances. Imperial is committed to ensuring that, in cases where this research is deemed essential, all animals in the College’s care are treated with full respect, and that all staff involved with this work show due consideration at every level.
Closing date: 2ndDecember 2021
To apply, visit www.imperial.ac.uk/jobs and search by the job reference ENG01914.
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