Student topics

Broadly, this research theme looks into the effects of leader transgressions (e.g., misconduct, misbehaviour, deviance) on workers within organisations.More specifically, adopting a social identity approach, projects within this theme may examine the following questions:How does the organisational level of the leader influence the effects of their transgression on workers?How do workers'  identity configurations affect whether they respond to leader transgressions?How does the type and target of the leader transgression influence the way workers respond to the transgression?

Study level

PhD, Master of Philosophy, Honours

Faculty

Faculty of Business and Law

School

School of Management

Sonographers, highly skilled healthcare professionals responsible for essential diagnostic ultrasound services, are currently facing a severe nationwide shortage. The Australasian Sonographers Association reported a deficit of at least 3,000 sonographers in 2019. Training new sonographers involves comprehensive work-integrated learning (WIL), which blends academic knowledge with structured real-world experiences to develop vital clinical skills. However, due to escalating workforce demands, concerns have arisen about potential exploitation of students within workplaces. This exploitation could involve assigning tasks exceeding their capabilities or subjecting …

Study level

PhD, Master of Philosophy

Faculty

Faculty of Health

School

School of Clinical Sciences

The tourism industry is rapidly expanding in Antarctica, increasing by an order of magnitude over the past two decades. The resilience of this industry depends on the resilience of the Antarctic ecosystem but which element of Antarctica is the most important? Is it better a penguin or an iceberg?The proposed study will make use of social media channels to collect data on Antarctica tourism. By assessing photos’ captions and Twitter hashtags, the study aims to determine how frequently terms such …

Study level

Honours

Faculty

Faculty of Science

School

School of Mathematical Sciences

We are seeking a highly motivated and talented Vision Science and Human Factors PhD Researcher to join an interdisciplinary research project, conducted in collaboration with Queensland University of Technology (QUT) and industry partner Seeing Machines—world leader in human-machine interaction and an industry leader in artificial intelligence (AI), that enable machines to see, understand and assist the people who are using them.A PhD scholarship is available for this project.Learn more about the scholarshipOur program offers:World-class research environment: immerse yourself in a …

Study level

PhD

Faculty

Faculty of Health

School

School of Clinical Sciences

Research centre(s)

Centre for Vision and Eye Research

We are seeking an enthusiastic and dedicated individual to join the Empathic Machines project as an HCI/HMI PhD Researcher. This interdisciplinary research project, conducted in collaboration with Queensland University of Technology (QUT) and Seeing Machines, aims to explore the 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 human-machine interaction, interface design, and attention sharing to enhance safety and user experience in automated vehicles.A …

Study level

PhD

Faculty

Faculty of Health

School

School of Psychology and Counselling

Research centre(s)

Centre for Future Mobility

Dementia exhibits the presence of Lewy bodies in the cerebral cortex, which are composed of α-synuclein (αSYN) or Amyloid-β (Aβ) plaques, as well as hyperphosphorylated tau (P-tau) tangles in various forms of dementia. The exact pathological mechanisms underlying this disease are not well understood; however, there is evidence suggesting the involvement of inflammatory activity. Microglia, macrophage cells residing in the brain responsible for clearing external pathogens and dead cells, are of particular interest.Our study aims to investigate whether Lewy bodies …

Study level

Master of Philosophy, Honours

Faculty

Faculty of Science

School

School of Biomedical Sciences

Research centre(s)

Centre for Microbiome Research

The teaching profession is a rewarding yet intensive occupation, with teachers being at increased risk of mental health disorders. Poor mental health does not only affect the wellbeing of teachers but can also have ramifications on the health and wellbeing of students with whom teachers interact (Harding et al., 2019). Although there is a large body of research that focuses on student mental health and wellbeing, less attention has been given to understanding mental health interventions targeting teachers. Furthermore, despite …

Study level

Honours

Faculty

Faculty of Health

School

School of Public Health and Social Work

OverviewProstate cancer (PCa) is the second-most common cancer in men. Prostate-specific antigen (PSA) encoded by the KLK3 gene is the only FDA-approved PCa biomarker for PCa. As a serine protease, PSA can also regulate multiple functions involved in PCa progression and metastasis and is summarised in our recent publications. Immunotherapies, including PSA-targeting therapies, have shown modest improvement in survival, for only a subset of metastatic PCa patients. Not much is known on the immunoregulatory role of PSA or its variants, …

Study level

PhD, Master of Philosophy, Honours

Faculty

Faculty of Health

School

School of Biomedical Sciences

Research centre(s)

Centre for Genomics and Personalised Health

Neurodegenerative disorders such as Alzheimer’s Disease continue to impact the quality of life of a significant number of Australians, yet they remain untreatable. If we focus on how human neural stem cells behave normally and compare them to similar cells from Alzheimer’s patients, we will likely gain a better understanding of what has gone wrong and potentially how to stop it or fix it.

Study level

PhD, Honours

Faculty

Faculty of Health

School

School of Biomedical Sciences

Research centre(s)

Centre for Genomics and Personalised Health

Machine learning cluster methods are common classification methods, but methods for assessing performance are limited as are methods for explaining how they work. Exploring methods for both assessing and explaining performance are the subject of this research with application to real-world contexts with the Australian Bureau of Statistics.

Study level

PhD, Master of Philosophy, Honours

Faculty

Faculty of Science

School

School of Mathematical Sciences

Research centre(s)

Centre for Data Science

Outliers are anomalous observations in a data set that are "outside the norm" of what would be expected. Identifying outliers is an important part of exploratory data analysis and data analysis in general. It is often a challenging problem and calls for advanced methods and approaches, including machine learning-based tools. As methods become more and more complex, their explainability becomes more difficult and more important. This research project will look at all aspects of explainability and explore new approaches and …

Study level

PhD, Master of Philosophy, Honours

Faculty

Faculty of Science

School

School of Mathematical Sciences

Research centre(s)

Centre for Data Science

The archaeal lineage Methanoperedenaceae are anaerobic methanotrophs with a key role in mitigating the atmospheric release of the potent greenhouse gas methane. The metabolic diversity of these microorganisms directly links methane with several key biochemical cycles and suggests a remarkable ability of these microorganisms to adapt to diverse environmental conditions.These microorganisms have never been grown in a laboratory and have only been studied in enrichment cultures with several other partner microorganisms. How these microorganisms grow and interact with these bacterial …

Study level

Honours

Faculty

Faculty of Health

School

School of Biomedical Sciences

Research centre(s)

Centre for Microbiome Research