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.
Found 462 matching student topics
Displaying 409–420 of 462 results
The human factors in self-service technology
Organisations are increasingly moving toward self-service technology (where consumers deliver services themselves using technological interfaces). While this increases organisational efficiencies, it has the potential to significantly impact customer engagement with the organisation. We're seeking a Masters or PhD student to investigate the human factors involved in self-service technology delivery: How do situational factors impact consumers' adoption of self-service technologies? What motivators and inhibitors impact self-service technology usage? Do consumers always respond appropriately within self-service environments? The successful applicant for this …
- Study level
- PhD, Master of Philosophy
- School
- null
- Research centre(s)
- null
null
Exploring organisational culture and employee change attitudes in nonprofit human service organisations.
- Study level
- PhD
- Faculty
- Faculty of Business and Law
- School
- School of Management
Assessing reef restoration using MARRS Reef Stars on the Great Barrier Reef
The Bait Reef rehabilitation project commenced in early 2021 (site surveys, risk assessments and approval processes) and installation on-site occurred in October 2021. Since installation there has been monitoring of the Reef Stars in June 2022, February 2023, and January 2024.Thermal bleaching impacts in early 2022 and rapid colonisation of the area by soft corals meant that by February 2022 more than 50% of the original coral fragments had died. Subsequently, in August 2023 all dead fragments (still attached to …
- Study level
- PhD, Master of Philosophy, Honours
- School
- School of Earth and Atmospheric Sciences
- Research centre(s)
- Centre for Data Science
Climate change and trustees: powers, duties, responsibilities and liabilities
Trustees have a duty to act in the best interests of beneficiaries. In particular, it has been held that “(w)hen the purpose of the trust is to provide financial benefits for the beneficiaries, as is usually the case, the best interests of the beneficiaries are normally their best financial interests.” (Cowan v Scargill [1985] 1 Ch 270 at 286 per Megarry VC) This may require consideration of not only the economic well-being of the trust fund more generally, but also …
- Study level
- PhD, Master of Philosophy, Honours
- School
- School of Law
- Research centre(s)
-
Australian Centre for Health Law Research
X-ray backscatter diffraction and X-ray fluorescence for the rapid structural and chemical characterisation of rock samples
The advisory team devised a synchrotron-based microscopy method for coeval measurements of elemental concentrations and crystal-orientation data combining X-ray fluorescence microscopy (XFM) with X-ray backscatter diffraction mapping (XBDM).We seek students with a background in physics, crystallography, or mineralogy and coding skills to help with the improvement of the methods.XBDM/XFM has the potential to become a game changer in the microphysical and -chemical characterisation of crystalline solids, with future applications in the critical-minerals industry and material science.
- Study level
- PhD, Master of Philosophy
- School
- School of Earth and Atmospheric Sciences
Profiling aerosol liquid water content over Australia
Aerosol liquid water content (ALWC) is a ubiquitous constituent in atmospheric aerosol particles. The degree of ALWC present in aerosol particles is influenced various factors, including relative humidity, temperature, particle mass, size distribution, and aerosol composition. Comprehensive analyses on ALWC have been conducted in the Northern Hemisphere, but similar work has rarely been done in the Southern Hemisphere due to the scarcity of aerosol particle measurements. In the atmosphere, ALWC scatters radiation and reduces visibility, significantly affecting air quality, weather, …
- Study level
- Honours
- School
- School of Earth and Atmospheric Sciences
Atomic-scale identification of catalyst active sites using electrochemical scanning tunneling microscopy
Catalysts have an important role to play in electrochemical reactions. By reducing the energy required for a reaction, they can save electricity and make feasible the reactions that will enable future sustainable technologies, such as the evolution of hydrogen from water. Optimisation of catalysts requires a detailed mechanistic understanding of their function. A key aspect of this is determining, at the atomic scale, the reactive sites on the catalyst surface. This type of insight can be provided by performing atomic-scale …
- Study level
- Honours
- School
- School of Chemistry and Physics
- Research centre(s)
- Centre for Materials Science
Production of hard carbon for sodium-ion batteries
The transition to renewable energy sources such as solar and wind necessitates efficient and large-scale energy storage solutions. Sodium-ion batteries (SIBs) have emerged as a viable alternative to lithium-ion batteries for grid-scale storage due to the abundance and low cost of sodium. Hard carbon anodes, derived from biomass, offer a sustainable and effective solution for SIBs, providing a pathway to enhance energy storage capabilities and support renewable energy integration.
- Study level
- PhD, Master of Philosophy, Honours
- School
- School of Mechanical, Medical and Process Engineering
- Research centre(s)
- Centre for Agriculture and the Bioeconomy
Understanding user behaviours of kinetic energy harvesting
Kinetic energy harvesters are used in devices such as wearable fitness trackers and smartwatches to capture energy from human movement to prolong battery life. They are emerging as both an energy source and a means to provide context information for recognizing human physical activities like exercising or walking (Sandhu et al, 2023).Kinetic energy harvesters provide several benefits, including cost reduction associated with battery replacement and maintenance, minimizing electronic waste, and decreasing the carbon footprint related to energy production and disposal. …
- Study level
- PhD, Master of Philosophy, Honours
- School
- School of Information Systems
SafeAge product safety
Older persons as a cohort are at high risk of consumer product-related injury and death. The most recent Australian research into product safety issues for older persons was conducted over 25 years ago, yet the marketplace and product technology have changed dramatically and the population at risk has grown.This Australian Research Council funded Discovery Project aims to generate contemporary knowledge of the role of consumer products in injuries and deaths for older persons. It is a 3-year collaborative academic research …
- Study level
- PhD
- School
- School of Public Health and Social Work
- Research centre(s)
- Centre for Healthcare Transformation
Australian Centre for Health Services Innovation
Implementation of the Global Minimum Tax by Australia-based MNEs
Global Minimum Tax (GMT) is an emerging framework in the international tax landscape, anticipated to play a vital role in curbing tax base erosion and profit shifting by multinational corporations. Australia's implementation of the GMT aligns with the OECD/G20 Two-Pillar Solution, specifically addressing the tax challenges of digital economy globalization. Starting January 2024, a 15% global minimum tax will apply to large multinational enterprises (MNEs), alongside a domestic minimum tax to safeguard Australia's tax base against profit shifting and erosion. …
- Study level
- Master of Philosophy, Honours
- School
- School of Accountancy
Physics-informed reinforcement learning for complex environments, using graph neural networks
Neglecting to incorporate physics information into world models for reinforcement learning leads to reduced adaptability to dynamic and complex environments and overall learning outcomes.In this project, we endeavour to develop and implement learnable models in reinforcement learning (RL) based on graph neural networks (GNNs). These models will integrate object and relation-centric representations to enable accurate predictions, strong generalization, and system identification in complex, dynamical systems. Additionally, we will focus on leveraging extensive world knowledge or physics information to refine representations …
- Study level
- PhD, Master of Philosophy, Honours
- School
- School of Electrical Engineering and Robotics
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