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.
Additive manufacturing of high-performance alloys
This project aims to develop new additive manufacturing materials technology. The focus will be on integrating metallurgy and materials science along with advanced computational techniques.
- Supervisor
- Professor Matthew Dargusch
- Location
- St Lucia
- Research areas
- Engineering
Control System Design for Hybrid Renewable Power Plants
Develop innovative solutions for hybrid renewable power plants to provide system strength and inertia support, and assist more large-scale renewable energy integration.
- Supervisor
- Dr Feifei Bai and Associate Professor Ruifeng Yan
- Location
- St Lucia
- Research areas
- Engineering
Design of membranes for lithium recovery and energy storage systems.
Develop the next generation of metal-organic framework membranes that allows for fast and selective ion transport, which has important applications in critical minerals recovery and energy storage systems
- Supervisor
- Associate Professor Ruth Knibbe
- Location
- St Lucia
- Research areas
- Engineering, Chemical sciences, Physical sciences
Improving Mineral Processing Liberation Measurement by coupling X-Ray Tomography and 2D SEM Information
Liberation is a key parameter affecting performance in mineral processing. This PhD will develop techniques to more accurately measure mineral liberation by coupling 2D SEM and 3D XRT data and applying AI and stereological correction methods
- Supervisor
- Associate Professor Kym Runge and Dr Gordon Forbes
- Location
- UQ Indooroopilly Experimental Mine Site
- Research areas
- Earth sciences, Engineering, Mathematical sciences
Digital twin of power transformer operation
A power transformer is available for 24/7 to supply power to customers. Transformers are equipped with many sensors for online monitoring, which are supplemented from off-line measurements. This project will develop a digital twin for understanding the evolving health condition of an in-operation transformer through its whole life cycle.
- Supervisor
- Professor Tapan Saha and Dr Hui Ma
- Location
- St Lucia
- Research areas
- Engineering
Dispersing biofilms and reversing antibiotic resistance to improve treatment of respiratory infections
This project will establish ex vivo and in vivo models to test biofilm formation and investigate the efficacy of a resistance breaking product against antibiotic resistant respiratory disease pathogens.
- Supervisor
- Dr Conny Turni
- Location
- St Lucia
- Research areas
- Agricultural, veterinary and food sciences, Biological sciences
Data-Driven Crop Breeding: Enhancing Disease Resistance through Vision-based Digital Phenotyping
In collaboration with DAF, this project aims to advance the use of UAV images to detect and quantify disease in mungbean research and breeding plots.
- Supervisor
- Professor Helen Huang and Associate Professor Sen Wang
- Location
- St Lucia
- Research areas
- Information and computing sciences, Agricultural, veterinary and food sciences, Biological sciences
Human Pose Translation and Generation from Multiple View Points
This project aims to develop a novel system that translates sign languages, particular in Auslan and generates Auslan by designing Human Pose Translation and Generation (HPTG) from multiple viewpoints.
- Supervisor
- Dr Xin Yu
- Location
- St Lucia
- Research areas
- Information and computing sciences, Language, communication and culture
Predictive Breeding for Precision Pulses
This project aims to use artificial intelligence algorithms to deconvolute complex relationships between genotype, the environment and phenotype to supercharge the development of improved pulse varieties for the future. Deep learning algorithms will be evaluated against new and existing datasets to identify these complex network relationships.
- Supervisor
- Dr Owen Powell and Dr Millicent Smith
- Location
- St Lucia
- Research areas
- Agricultural, veterinary and food sciences, Biological sciences, Information and computing sciences
Animal cruelty, thanatology and veterinary forensics in an Australian context
Animal welfare and animal cruelty are increasing topics of public interest in Australia, but case types and epidemiology are understudied.
- Supervisor
- Professor Rachel Allavena and Professor Chiara Palmieri
- Location
- UQ Gatton Campus
- Research areas
- Agricultural, veterinary and food sciences