Understanding turbulence is critical for a wide range of terrestrial and astrophysical applications. For example, turbulence on earth is responsible for the transport of pollutants in the atmosphere and determines the movement of weather patterns. But turbulence plays a key role in astrophysics as well. For instance, the turbulent motions of gas and dust particles in proto-stellar disks enables the formation of planets. Moreover, virtually all modern theories of star formation rest on the statistics of turbulence.
In this project you will analyse the world's biggets simulations of turbulence ever done (see https://arxiv.org/pdf/1607.00630v1.pdf). You will use a mix of existing codes and new codes that you will develop with Python/C to make images, movies, pdfs, power spectra and structure functions, in order to understand statistics of turbulence. The analyses codes will be parallelised and run on thousands of compute cores at Australian and international supercomputers. This project does not require any special skills; basic programming experience with Python and C is useful. Please contact Christoph Federrath (email@example.com) for details.