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PhD Studentship: Data integrated modelling of fluid flows and forces

Employer
Global Academy Jobs
Location
United Kingdom
Closing date
Apr 13, 2018

Job Details

Computational methods for predicting complex unsteady flows are computationally demanding, while full-field experimental methods are very expensive. This project will merge the fields of machine learning, experimental methods, and physics-based modelling to greatly increase the speed of computational predictions. 

In particular, this thesis will develop models of the forcing and motion experienced by objects turbulent flows by integrating data from high-resolution Particle Image Velocimetry (PIV) and force measurements into Computational Fluid Dynamics (CFD). The data-analysis methodology generated by this work will vastly reduce the computational cost of CFD while maintaining or even increasing simulation accuracy.

If you wish to discuss any details of the project informally, please contact Dr Gabriel Weymouth, Fluid Structure Interaction Research Group, Email: G.D.Weymouth@soton.ac.uk.

Company

Global Academy Jobs works with over 250 universities worldwide to promote academic mobility and international research collaboration. Global problems need international solutions. Our jobs board and emails reach the academics and researchers who can help.

"The globalisation of higher education continues apace, driving in turn the ongoing development of the global knowledge economy, striving for solutions to the world’s problems and educating a next generation of leaders and contributors."

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