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 661 matching student topics
Displaying 505–516 of 661 results
Understanding human behaviour during automated driving
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)
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Centre for Vision and Eye Research
Human-machine interface (HMI) design to manage driver engagement in automated vehicles
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)
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Centre for Future Mobility
Dietary counselling for nutrition-impacting symptoms during cancer treatment
Nutrition-impacting symptoms contribute to decreased quality of life and food intake, and subsequent malnutrition and decreased willingness to commence or complete cancer treatment, which all compromise survival. Evidence exists to support the role of dietary counselling for malnutrition during cancer treatment; however, less is known about the role of dietary counselling for nutrition-impacting symptoms that lead to the development of malnutrition.This systematic review project will synthesise available evidence on the effect of dietary counselling interventions on nutrition-impacting symptoms (e.g., fatigue, …
- Study level
- Honours
- Faculty
- Faculty of Health
- School
- School of Nursing
- Research centre(s)
- Centre for Healthcare Transformation
Cancer and Palliative Care Outcomes Centre
Medication and dietary supplement use and symptom severity of chemotherapy-induced peripheral neuropathy
Chemotherapy-induced peripheral neuropathy (CIPN) is highly prevalent and clinically problematic, occurring in up to 60–80% of people receiving chemotherapy. Despite the high prevalence and significant patient and healthcare burden of CIPN, treatment options are limited.This project will explore the association between medication and dietary supplement use and symptom severity of CIPN to identify factors that might worsen or improve CIPN symptoms.
- Study level
- Honours
- Faculty
- Faculty of Health
- School
- School of Nursing
- Research centre(s)
- Centre for Healthcare Transformation
Cancer and Palliative Care Outcomes Centre
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
BIOM01 - Novel therapeutic strategies for targeting dementia
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)
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Centre for Microbiome Research
PHSW01 - A systematic review of internet-based interventions for supporting teachers’ mental health and wellbeing
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
CGPH01 - Human neural stem cell models to understand neurogenesis and neurodegeneration
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
A soft robotic manipulator for spinal surgery
The geriatric population in Australia (4.2 million 2020, ABS), is growing steadily with numbers expected to double in the coming years. Incidences of spinal disorders requiring surgical treatment are therefore predicted to increase, incurring an estimated lifetime cost of AUD 3.7 billion per case (The Treasury). Robotics, an increasingly important component of modern medicine, is well suited to address the minimally invasive surgical needs of treating the spine.This project proposes the use of a soft-robotic manipulator to carry out spinal …
- Study level
- PhD
- Faculty
- Faculty of Engineering
- School
- School of Electrical Engineering and Robotics
- Research centre(s)
- Centre for Robotics
Assessing the quality of cluster analysis
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
Explainability of outlier detection methods
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
BIOM05 - Application of fluorescence microscopy for the visualization of methane-oxidizing microorganisms in the environment
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
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