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Job Record #16992
TitlePhysics-informed Lattice Boltzmann Modelling
CategoryJob in Academia
EmployerQueensland University of Technology
LocationAustralia, Queensland, Brisbane
InternationalYes, international applications are welcome
Closure DateSaturday, May 01, 2021
Project summary
The present project will address the yet-to-be-solved challenges related to 
model-parameter uncertainties and cost associated with fine tuning these 
parameters in Lattice Boltzmann models. The project will develop a machine-
learning(ML)-based approach that will allow for LB calibration.

This PhD project is part of a research project funded by the Australian Research 
Council (ARC) in collaboration with international experts from Australia, 
Europe, and the US.

The PhD student will join an international team of scientists dedicated to 
developing computational modelling for microfluidics and advancing knowledge of 
non-ideal fluid mixture behaviours that are critical for the rational design and 
robust optimisation of microfluidic applications. The project will be based in 
Queensland with collaborators spanning across Australia, Europe, and the US. 
Over three years, the successful applicants will have gained a broad range of 
technical skills and a sound understanding of computational microfluidics, 
positioning them ideally for a future career in a range of relevant disciplines.

Skills and experience:
1) Demonstrated knowledge and skills relevant to the thesis project and the 
subject of study
2) demonstrated knowledge in at least one of the following areas: computational 
fluid dynamics (CFD, in particular Lattice Boltzmann method), numerical methods, 
uncertainty quantification, statistical/Bayesian methods, machine learning, 
reduced order modelling, and applied and computational mathematical modelling, 
viscoelastic fluid flows
3) demonstrated programming skills (C++, Matlab, Python)
4) demonstrated written and oral communication skills with very good proficiency 
in English.
5) ability to work independently and to formulate and tackle research problems 
will be critical. Excellent organisational skills, be highly analytical, able to 
multitask under tight time frames will be considered highly.

The provision of a scholarship is conditional on successful application and 
admission to the Doctor of Philosophy course. Eligibility for admission to a 
research degree is determined by the Graduate Research Centre and processed via 
QUT's Application Portal (


Contact: A./Prof. Emilie Sauret,

Contact Information:
Please mention the CFD Jobs Database, record #16992 when responding to this ad.
NameEmilie Sauret
Email ApplicationYes
Record Data:
Last Modified00:07:42, Wednesday, February 24, 2021

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