Find a PhD or MPhil project with a scholarship
Scholarship-funded research projects
Explore our research projects with funded living stipend scholarships. You can filter by program type, research area and scholarship type, or use the keyword search field to find projects that suit your interests.
If you'd rather bring your own project, explore our scholarships (including top-up scholarships) and find a supervisor to support your project.
New scalable organic synthesis methods based on electrolysis
Work on a project dealing with the development of novel synthetic electrochemical methods and their transfer to scalable flow systems.
- Supervisor
- Dr David Cantillo
- Location
- St Lucia
- Research areas
- Chemical sciences
Scalable Bayesian inference for secure and reliable decision making
Bayesian methods are central to data-driven decision-making, yet scalable algorithms remain limited to simple or approximate models. This project develops new scalable, privacy-aware Bayesian algorithms, expanding reliable inference for complex models and modern big-data applications.
- Supervisor
- Dr Matthew Sutton
- Location
- St Lucia
- Research areas
- Mathematical sciences
Oscillation identification and control design for power grid with high renewable energy integration
Develop innovative solutions for detecting oscillations, identifying their sources, and proposing effective mitigation strategies to facilitate the large-scale integration of renewable energy resources.
- Supervisor
- Dr Feifei Bai and Associate Professor Ruifeng Yan
- Location
- St Lucia
- Research areas
- Engineering
Pilot-scale technologies for sustainable sludge management and contaminant removal
Develop and demonstrate innovative pilot-scale sludge treatment technologies with Urban Utilities to reduce sludge volume, enhance biosolids quality and remove contaminants such as PFAS.
- Supervisor
- Professor Shihu Hu and Dr Zhetai Hu
- Location
- St Lucia
- Research areas
- Engineering
Causal and adaptive learning for agronomic decisions and knowledge exchange in sorghum
Develop and evaluate a causal evidence framework to assess when sorghum agronomic recommendations are justified, the conditions under which they are applicable, and how growers and advisers interpret, adapt, and use them in practice.
- Supervisor
- Associate Professor Sudhir Yadav and Dr Joseph Eyre
- Location
- St Lucia
- Research areas
- Agricultural, veterinary and food sciences, Economics
Advanced imaging of electrocatalysts for carbon dioxide conversion
High-resolution imaging and in-operando (in situ) transmission electron microscopy are key tools to observe and understand structure-property behaviour. In this project, advanced electron microsocpy methods will be used and developed to understand the behaviour of carbon dioxide electrolyser electrocatalysts.
- Supervisor
- Professor Ruth Knibbe
- Location
- St Lucia
- Research areas
- Engineering, Physical sciences
Laser absorption spectroscopy studies of electronic excitation and ionisation for predictive plasma and radiation modelling
Develop a flexible laser absorption spectroscopy (LAS) system to quantify key plasma species and thermodynamic properties. The technology will be demonstrated on a pulsed electric discharge as well as UQ hypersonic facilities. The outcome will be sensitive measurements of composition and thermodynamic state.
- Supervisor
- Dr Jesse Streicher
- Location
- St Lucia
- Research areas
- Engineering
Multi-physics modelling of bearingless pumps
Develop advanced multi-physics models of bearingless pumps by coupling thermofluid, electromagnetic, and rotor-dynamic processes to determine and improve stability, efficiency, reliability, and industrial deployment.
- Supervisor
- Professor Paul Meehan and Professor Fredrik Haglind
- Location
- St Lucia
- Research areas
- Engineering, Physical sciences
Flavour-driven selection of sorghum varieties for premium food applications
Identify sensory and flavour traits across diverse sorghum lines and link superior traits to genetic targets, enabling selection of varieties for high-quality foods and new product development
- Supervisor
- Professor Heather Smyth and Dr Jenson George
- Location
- Long Pocket
- Research areas
- Agricultural, veterinary and food sciences, Biological sciences, Chemical sciences, Engineering, Physical sciences
Uncovering the link between pregnancy and methane emissions in grazing cattle via artificial intelligence
Improve understanding of how pregnancy influences enteric methane production, grazing behaviour, and metabolic changes in ruminants. Contribute to development of more accurate methane accounting methods for breeding herds.
- Supervisor
- Associate Professor Marina Fortes and Dr Kieran McCosker
- Location
- St Lucia
- Research areas
- Agricultural, veterinary and food sciences, Biological sciences, Environmental sciences, Information and computing sciences, Mathematical sciences