Available Joint PhD Projects
Upcoming RUM Joint PhD research projects are advertised below. Please read the application guidelines before contacting the project supervisors.
Use of machine learning to optimise turbulence modelling
Industry relies heavily on turbulence models to make numerical predictions sufficiently affordable. However, in many situations the lack of predictive accuracy of the underlying models limits the impact that computational methods can have on technology development. In this project, a novel machine learning approach will be applied to translate the physics contained in data into tangible turbulence models with improved accuracy. …
A comparative study of engine performance and pollutant formation during diesel and dimethyl ether injection
Compression ignition engines are likely to remain a dominant prime mover for the foreseeable future, particularly in heavy duty road transport, sea transport and power generation. Dimethyl ether (DME) is one proposed zero emission fuel for compression ignition engines that can be made using renewable energy. DME also possesses several properties that makes it superior to diesel in terms of …
How to Apply
REGISTER YOUR INTEREST Applicants for RUM Joint PhD projects should: Identify a project of interest Register their interest with the project supervisor based at the University of Melbourne, including the following information: Name, contact details Joint PhD project of interest Cover Letter, CV and Transcript Any supporting documentation Note, to be considered for the joint PhD program, all applicants are required to …