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Job Record #17383
TitleResearch Fellow in machine-learning for turbulence modelling
CategoryPostDoc Position
EmployerUniversity of Melbourne
LocationAustralia, Victoria, Melbourne
InternationalYes, international applications are welcome
Closure DateMonday, November 01, 2021
Design of a host of engineering devices, from aerospace, transport and energy applications, is often accomplished with low-order models, such as RANS closures, despite their known inaccuracies and model errors. Two exciting developments have brought about a paradigm shift in how such models can be further improved. Firstly, today's tremendous computing power allows the generation of unprecedented amounts of data, though high-fidelity simulations or laboratory experiments. Secondly, modern machine-learning techniques have been developed that can not only calibrate coefficients to fit data, but can be employed to approximate the functional relationships between inputs and outputs, such as the closures in turbulence models.

At the University of Melbourne, we have developed an in-house machine-learning capability that can develop symbolic models from reference data. This capability has to date been successfully applied to the development of several turbomachinery flows, such as blade wakes and laminar-turbulence transition.
A position in the computational simulation and modelling group is currently open. The research responsibilities for this position will include some of the below, dependent on the candidate’s background:

1.	Application of machine-learning code for turbulence model development hybrid (RANS/LES and RANS) for complex 3D flows
2.	Development of additional capabilities in machine-learning code
3.	Generating physical insight and high-quality output, e.g. journal papers

Experience in conducting RANS, URANS and hybrid RANS/LES is required. Knowledge of turbulence modelling, Python and experience with performing OpenFOAM simulations on HPC platforms is highly desirable.

You should have a PhD in Aeronautical Engineering, Mechanical Engineering, or a related subject, and should have published in high-quality international journals. Applications from women are strongly encouraged. 


The University of Melbourne is ranked number 1 in Australia and number 31 in the world by the 2021 THE World University Rankings. The University is located centrally in Melbourne, which has been listed as the most liveable city in the world a number of times. 

Contact Information:
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NameRichard Sandberg
Email ApplicationYes
Record Data:
Last Modified01:06:36, Tuesday, October 05, 2021

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