QUT offers a diverse range of student topics for Honours, Masters and PhD study. Search to find a topic that interests you or propose your own research topic to a prospective QUT supervisor. You may also ask a prospective supervisor to help you identify or refine a research topic.

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Found 502 matching student topics

Displaying 397–408 of 502 results

Computational methods for multi-scale structural optimisation

Structural optimisation is a powerful computational methodology for finding high-performing designs for structural components or material architectures. For example, what periodic scaffold would provide the highest possible stiffness for its weight?Solving such a problem computationally requires an understanding of the relevant equations required to model the physical properties of interest, as well as efficient implementation of a range of numerical methods including finite elements, finite differences and optimisation.With recent developments in 3D printing technologies it is now becoming possible to …

Study level
PhD, Master of Philosophy, Honours
Faculty
Faculty of Science
School
School of Mathematical Sciences

Springbrook groundwater monitoring and modelling

In partnership with the City of Gold Coast, QUT has set up water monitoring networks in the Gold Coast Hinterland to improve assessment of water and ecological resources. You will have an opportunity to carry out research that leads to improved environmental management.

Study level
PhD, Master of Philosophy, Honours
Faculty
Faculty of Science
School
School of Biology and Environmental Science

Safe and non-flammable electrolytes for batteries

Electrolytes play a significant role in determining the performance of energy storage devices. In general, different types of liquid electrolytes have been investigated so far including organic liquids, ionic liquids, and aqueous. Among them, organic liquid electrolytes are highly flammable and volatile, while aqueous electrolytes suffer from a narrow working voltage window. IL liquid showed a promise to circumvent these challenges, however, their practical applications are plagued by the high cost, difficulty in preparation, and toxicity.This project will develop low-cost …

Study level
PhD, Master of Philosophy, Honours
Faculty
Faculty of Science
School
School of Chemistry and Physics
Research centre(s)
Centre for Materials Science

Green solvents to recover metals – mining and battery recycling industry

With the ever-increasing demand for batteries, the accelerated production will soon translate into massive amounts of waste. Establishing effective LIB recycling strategies will balance the impact of end-of-life LIB waste and the demands on raw materials in the battery supply chain. Due to high prices of raw materials, the global LIB recycling market was valued at about $1.78 billion in 2017 and is expected to reach $23.72 billion by 2030, suggesting a significant opportunity for the recovery of valuable metals …

Study level
PhD, Master of Philosophy, Honours
Faculty
Faculty of Science
School
School of Chemistry and Physics

Plasmonic metal application

Developing “light controllable product selectivity switches” is of great interest in cross-coupling reactions based chemical synthesis. On an environmentally friendly plasmonic metal nano-particle surface, light irradiation can change the reactants adsorption on the surface, and thus change the relative ratio of the reactants for reaction. Different wavelengths contribute to tune this selectivity more accurately in a molecular level.

Study level
PhD, Master of Philosophy, Honours
Faculty
Faculty of Science
School
School of Chemistry and Physics
Research centre(s)
Centre for Materials Science

Organic thin film transistors for sensors, bioelectronic interfaces and bionics

Organic electronic devices are flexible, light weight and stretchable, which makes them an ideal candidate for integrating and interfacing with soft tissues in biological systems. An attractive attribute of organic electronic devices is the solution processibility of constituent layers, since solution-processable devices have the potential to be printed into complex designs and shapes, leading to integrated devices with multiple functionalities.Particularly, organic thin film transistors (OTFTs) have the potential to offer low cost, easy to use and printable sensors for a …

Study level
PhD, Master of Philosophy, Honours
Faculty
Faculty of Science
School
School of Chemistry and Physics
Research centre(s)
Centre for Materials Science

Diffusion and first passage times in random media

Diffusion in homogenous environments is relatively well understood, but the problem becomes more complicated in complex environments - such as wood tissue, cells, filters and catalysts. At QUT there is extensive expertise in using advanced numerical methods to model diffusions and first passage times in complex environments.The ability to combine this expertise with realistic models of random media based on level-sets of Gaussian random field.

Study level
PhD, Master of Philosophy, Honours
Faculty
Faculty of Science
School
School of Mathematical Sciences

Understanding the external surface of fungal mycelia

The way in which fungal cultures grow in liquid cultures are can have a major impact on scale up and producing material. Here, we will examine the growth of three fast-growing filamentous fungi and try understand how various growth parameters affect the morphology that will range from loose mycelia to compact pellets.Fungal morphology is affected by inoculum (form, concentration and growth stage), media components (type and concentration of carbon, nitrogen and phosphate, trace minerals, pH, salt content), dissolved gases (dissolved …

Study level
PhD, Master of Philosophy, Honours
Faculty
Faculty of Science
School
School of Biology and Environmental Science
Research centre(s)
Centre for Agriculture and the Bioeconomy

Mathematical and computational models for diffusion magnetic resonance imaging (dMRI)

In 1985, the first image of water diffusion in the living human brain came to life. Since then significant developments have been made and diffusion magnetic resonance imaging (dMRI) has become a pillar of modern neuroimaging.Over the last decade, combining computational modelling and diffusion MRI has enabled researchers to link millimetre scale diffusion MRI measures with microscale tissue properties, to infer microstructure information, such as diffusion anisotropy in white matter, axon diameters, axon density, intra/extra-cellular volume fractions, and fibre orientation …

Study level
PhD, Master of Philosophy, Honours
Faculty
Faculty of Science
School
School of Mathematical Sciences
Research centre(s)
Centre for Data Science
Centre for Biomedical Technologies

What do ancient granitic rocks tell about the formation of Earth's crust

The Earth is a dynamic evolving planet that has continually changed throughout its history. This change is recorded in the different rock types preserved in the continental crust and is paralleled by the evolution of life. Study of Archean granitic terranes (4.0-2.5 billion years ago) provides invaluable information on the early Earth when 50% of the present day volume of continental crust was generated. You will help work out how Earth's earliest crust formed through:potential field workpetrographygeochemical analysis.

Study level
PhD, Master of Philosophy, Honours
Faculty
Faculty of Science
School
School of Earth and Atmospheric Sciences

Developing optimal management approaches to sustain the Great Barrier Reef

The Great Barrier Reef is under significant threat from climate change.There are many options for management approaches to help sustain the reef, and many more are being developed. However, optimally planning these management actions is a difficult mathematical problem as they need to deploy over a large scale. This results in long timeframes for developing and executing these actions.This project will involve adapting the Modern Portfolio Theory to develop optimal management approaches to sustain the Great Barrier Reef.Modern Portfolio Theory …

Study level
PhD, Master of Philosophy, Honours
Faculty
Faculty of Science
School
School of Mathematical Sciences
Research centre(s)
Centre for Data Science

Considering economics when prioritising species conservation

There are limited funds available for saving threatened species globally. Investing that money wisely can help ecologists and the government achieve more bang for their buck, and help more species and ecosystems.We can use many approaches  to help guide those investment decisions, including mathematical optimisation and operations research. However better considerations of economic factors are needed in order to reflect the complexity of real ecosystems and governments.

Study level
PhD, Master of Philosophy, Honours
Faculty
Faculty of Science
School
School of Mathematical Sciences
Research centre(s)
Centre for Data Science

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