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Computational modelling of fluid flows at the microscale

Study level

PhD

Master of Philosophy

Honours

Faculty/Lead unit

Topic status

We're looking for students to study this topic.

Supervisors

Associate Professor Emilie Sauret
Position
Associate Professor
Division / Faculty
Science and Engineering Faculty

Overview

Computer modelling techniques are key to develop fundamental understanding of the flow physics at the microscale. Miniaturising devices, in particular for biology and bio-engineering applications become crucial to realise the full potential of those devices. Numerical techniques will play a pivotal role in achieving such optimal miniaturisation through improving our understanding of the flow phenomena at those scales and optimising those devices.

Research activities

Develop computational models for the prediction of flows at the microscale.

Outcomes

The computational models developed will be used to improve our understanding of flow phenomena such as mixing of multi-component mixtures in microfluidic devices or diffusion and transport in porous biomaterials.

Skills and experience

  • The candidate is expected to have strong interests in computational modelling, bio-engineering and microfluidics.
  • Background in fluid mechanics, fluid dynamics, computer modelling, and programming is preferable but not mandatory.

Scholarships

You may be able to apply for a research scholarship in our annual scholarship round.

Annual scholarship round

Keywords

Contact

Contact the supervisor for more information.