Ocean current velocimetry from ultra-high resolution satellite imagery

Particle image velocimetry (PIV) is a widely used technique for measuring flow velocities by tracking features in sequential images.

In this project, we will test the feasibility of using PIV to estimate ocean currents at the surface of the ocean from satellite images of sea-surface temperature. Knowledge of satellite remote sensing and ocean dynamics is not required, but strong computational ability in Matlab or Python is a must.

This project is supervised by Dr Shane Keating (UNSW Sydney). Please contact s.keating@unsw.edu.au for more information.

Submit your application by Oct 26 2018 for commencement in Term 1, 2019.

Fluid transport by vortex ring entrainment

Vortices are rotating bodies of fluid that remain coherent for long periods, and are frequently observed in the atmosphere, ocean, and in laboratory experiments. Observations and simulations of vortices indicate that they are important for transporting properties such as heat, biological material, or pollutants over large distances.

While some fluid is transported by the core of the vortex, there is also transport due to ambient fluid that is captured or “entrained” within the outer ring and then travels with the vortex as it propagates. In this project, we will examine transport by entrainment of fluid in the vortex ring, or of multiple vortex rings. Experience with Python is required.

This project is supervised by Dr Shane Keating (UNSW Sydney). Please contact s.keating@unsw.edu.au for more information.

Submit your application by Oct 26 2018 for commencement in Term 1, 2019.

Fluid dynamics of peloton formation

In competitive cycling, a “peloton” is a group of riders that travels together in formation in order to reduce drag and save energy. The shape of the peloton will change depending on headwind and sidewind and the strategy of individual riders or teams of riders.

In this project, we will study the fluid dynamics of cycling pelotons and investigate how collective behavior of cyclists can lead to peloton formation under different scenarios. No fluid dynamics knowledge is required, but Python programming experience is essential.

This project is jointly supervised by Dr Shane Keating (UNSW Sydney) and Dr Geoff Vasil (U. Sydney). Please contact s.keating@unsw.edu.au for more information.

Submit your application by Oct 26 2018 for commencement in Term 1, 2019.