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 499 matching student topics

Displaying 25–36 of 499 results

Surface engineering for nanoelectronic devices

Ga2O3 is an emerging wide-bandgap semiconducting material that has received enormous attention in recent years. This is due to its potential application in power devices, UV detectors and military applications that are unattainable by conventional semiconductors such as silicon.The operation and performance of these type of electronic devices rely critically on the surface quality and properties of the semiconducting materials. However, the surface atomic structures and electronic structures of Ga2O3 single crystals are not yet fully understood.The principal aim of …

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

Driver engagement and risk in automated driving: Advanced data analytics leveraging driver monitoring systems

The project aims to the explore concept of empathic machines in the context of driver monitoring systems (DMS) and automated driving. The successful candidate will contribute to advancing the understanding of driver engagement, situation awareness, and risk through leveraging advancements in data science techniques on vehicle sensor, DMS, and other related datasets.To apply for this position, please submit the following documents:a cover letter outlining your research interests, relevant qualifications, and motivation to join the Empathic Machines projecta detailed curriculum vitae …

Study level
PhD
Faculty
Faculty of Engineering
School
School of Civil and Environmental Engineering
Research centre(s)
Centre for Data Science
Centre for Future Mobility

A new physics informed machine learning framework for structural optimisation design of the biomedical devices

The machine learning based computer modelling and simulation for engineering and science is a new era. The optimisation analysis is widely used in the design of structures.

Study level
PhD, Master of Philosophy, Honours
Faculty
Faculty of Engineering
School
School of Mechanical, Medical and Process Engineering
Research centre(s)
Centre for Biomedical Technologies
Centre for Biomedical Technologies

Optical coherence tomography imaging of arterial tissue

The sudden rupture of vulnerable atherosclerotic plaques and subsequent thrombosis formations are responsible for most acute vascular syndromes, such as myocardial infarction and stroke. Many victims who are apparently healthy die suddenly with no prior symptoms.Such deaths could be prevented through surgery or alternative medical therapy, if vulnerable plaques were identified earlier in their natural progression.While intravascular methods have been developed to visualize various features of vulnerable plaques, there is no single technique that can accurately predict plaque rupture in …

Study level
PhD, Master of Philosophy, Honours
Faculty
Faculty of Engineering
School
School of Mechanical, Medical and Process Engineering
Research centre(s)
Centre for Biomedical Technologies

Image-based computational model to predict intracranial aneurysm rupture

Intracranial aneurysms are bulging, weak areas of an artery that supply blood to the brain which are relatively common. While most aneurysms do not show symptoms, 1% spontaneously rupture which can be fatal or it can leave the survivor with permanent disabilities. This catastrophic outcome has motivated surgeons to operate on approximately 30% of aneurysms despite their rate of complications arising and cost of operation.The impact of aneurysm morphology on blood flow shear stress and rupture could educate surgical decision-making …

Study level
PhD, Master of Philosophy, Honours
Faculty
Faculty of Engineering
School
School of Mechanical, Medical and Process Engineering
Research centre(s)
Centre for Biomedical Technologies

Structural application of green concrete

The need for sustainable construction has prompted researching alternative concrete technologies around the world. In QUT, a project has been developed to investigate structural applications of environmentally friendly (Green) concrete.Project activities can be undertaken by students at various levels, including VRES, final-year undergraduates, and PhD researchers.

Study level
PhD, Honours
Faculty
Faculty of Engineering
School
School of Civil and Environmental Engineering
Research centre(s)
Centre for Materials Science
Centre for the Environment

Transforming wastewater treatment with anaerobic granular sludge technology

Are you interested in solving real-world environmental challenges? Wastewater treatment is essential for protecting the environment, and anaerobic granular sludge technology is at the forefront of creating sustainable solutions. Think of it as using natural microorganisms to clean water in an energy-efficient way, while also recovering valuable resources like nutrients and energy.In this project, you’ll dive into how anaerobic granular sludge works - tiny but powerful clusters of microbes that improve wastewater treatment by breaking down pollutants. This cutting-edge technology …

Study level
Honours
Faculty
Faculty of Engineering
School
School of Civil and Environmental Engineering

Adaptive and efficient robot positioning

I am looking for highly motivated and talented PhD students to work with us on robot localisation and navigation. The students would join my DECRA Fellowship project "Adaptive and Efficient Robot Positioning Through Model and Task Fusion" funded by the Australian Research Council, which provides substantial top-up scholarships in addition to QUT's tax-free base stipend.Robot positioningWhere are you? This is a fundamental question to which most of us usually know the answer. And so do the birds singing in our …

Study level
PhD
Faculty
Faculty of Engineering
School
School of Electrical Engineering and Robotics
Research centre(s)
Centre for Robotics

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

Multimodal AI to simulate medical student competency

The assessment of medical graduate competency is a cornerstone of medical education and a critical safeguard for patient safety. Newly qualified physicians must demonstrate a broad range of skills and knowledge, including diagnostic reasoning, clinical decision-making, communication, procedural skills, and professionalism before independently practicing medicine. Traditional assessment methods often include standardized multiple-choice examinations, objective structured clinical examinations (OSCEs), direct observation of procedural skills (DOPS), and portfolio reviews. While these methods offer valuable insights, they have inherent limitations. Standardized tests may …

Study level
PhD, Master of Philosophy
Faculty
Faculty of Health
School
School of Public Health and Social Work
Research centre(s)
Centre for Data Science

Nudging better financial habits in young adults through digital cues

In the context of a growing cost of living crisis, many young adults are experiencing financial stress while navigating key life transitions such as starting university, moving out of home, or entering the workforce. These transitional periods present valuable but often missed opportunities to engage young people with tools and strategies that build long-term financial capability. Behaviourally-informed digital interventions - such as timely nudges and relatable role model messages - may help support better financial habits and confidence during these …

Study level
PhD, Master of Philosophy, Honours
Faculty
Faculty of Business and Law
School
School of Accountancy

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