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 171 matching student topics

Displaying 109–120 of 171 results

Digital inclusion and participation

Working in partnership with industry, government and community organisations, the Digital Inclusion and Participation research program within QUT's Digital Media Research Centre uses innovative digital ethnographic and co-design methods to understand, intervene, and advocate for digital access and literacy as vital elements of social inclusion.We help equip citizens and consumers with the knowledge and skills to confidently, effectively and ethically navigate the increasingly complex digital media environment; and we deliver actionable new knowledge of the structural conditions and circumstances that …

Study level
PhD, Master of Philosophy
Faculty
Faculty of Creative Industries, Education and Social Justice
School
School of Communication
Research centre(s)
Digital Media Research Centre

Urban media and digital geographies

We are seeking PhD projects that will contribute to an ongoing, cross-disciplinary research program investigating the critical role played by space, place, and location within digital media and society. Project proposals should be situated within or across communication, digital media, and design and draw on current or emerging critical approaches, such as:digital geographiesurban informaticsplatform urbanismtechnological sovereigntycritical data studies.

Study level
PhD
Faculty
Faculty of Creative Industries, Education and Social Justice
School
School of Communication
Research centre(s)
Digital Media Research Centre

A Human-centric eXplainable Automated Vehicle

CARRS-Q has developed a strong expertise in AV and ADAS, and operate an Automated Vehicle for its research on test track and open roads.We have collected more than 12,000km of sensor data in various Australian conditions, and we are progressing quickly to a broader understanding of safe operation of AV technologies on our roads. We are looking for PhD candidates to progress further on these topics. PhD positions are available for highly motivated domestic and/or international students to work on …

Study level
PhD
Faculty
Faculty of Health
School
School of Psychology and Counselling

Understanding responsible deployment of computer vision for urban planning

Advances in artificial intelligence (AI) offer urban planning practice many novel prospects. By the responsive use of AI, planners can effectively analyse data, improve processes, increase efficiency, and prioritise human-centric aspects of planning to develop sustainable cities. Computer vision is one of the key areas where responsible AI is applied in urban planning to revolutionise the analysis and interpretation of visual data, like images and videos captured in cities to aid decision and plan making processes. While the potential impacts …

Study level
PhD, Master of Philosophy, Honours
Faculty
Faculty of Engineering
School
School of Architecture and Built Environment

How do healthy people sleep? Biomechanics, physiology, and environment - what matters most?

In the Westernized world a person typically spends one third of their life in bed, with more time spent sleeping in a bed than in any other single activity. Sleep amount and quality of sleep have a direct impact on mood, behaviour, motor skills and overall quality of life. Yet, despite how important restful sleep is for the body to maintain good health, there is a comparatively small amount of studies evaluating key multi-factorial and biomechanical determinants of restful sleep …

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

Predicting good sleep using computer science: Can we use machine learning to find out 'what's the best bed?'

In the Westernised world a person typically spends one third of their life in bed, with more time spent sleeping in a bed than in any other single activity. Sleep amount and quality of sleep have a direct impact on mood, behaviour, motor skills and overall quality of life. Yet, despite how important restful sleep is for the body to maintain good health, there is a comparatively small amount of studies evaluating key multi-factorial determinants of restful sleep in non-pathological, …

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

Light, circadian rhythms and Parkinson’s disease

Up to 98% of patients with Parkinson’s Disease (PD) have non-motor symptoms (Poewe et al. Nature Rev Dis 2017, 3: 17013) and of those, circadian and sleep disorders are the most common (for review, Gros & Videnovic. 2020, Clin Geriatr Med 36: 119). These symptoms become increasingly prevalent during the course of PD and are key determinants affecting quality of life, advancement of overall disability and placement in nursing homes (Shapira et al. Nat Rev Neurosci 2017,18:435). Circadian and sleep …

Study level
PhD
Faculty
Faculty of Health
School
School of Biomedical Sciences

Understanding local government artificial intelligence policy landscape

Artificial intelligence (AI) is driving transformation across all areas of society today. An umbrella term encompassing a range of technologies both sophisticated and simple that are used to make predictions, inferences, recommendations, or decisions with data. AI is used in many products and services that people use, interact with, or are impacted by every day. It already in place of local government and assisting government officials in providing services effectively and conduct their activities more efficiently to the public. The …

Study level
PhD, Master of Philosophy, Honours
Faculty
Faculty of Engineering
School
School of Architecture and Built Environment

Investigating the application of sustainable AI practices in construction

The construction industry plays a vital role in the global economy and there is a growing interest in utilising artificial intelligence (AI) to improve its productivity and efficiency. Despite the industry's significant contribution to the economy, it has faced challenges such as large cost overruns, extended schedules, and quality concerns. Nevertheless, AI is making significant strides to remove these issues by revolutionising various aspects of the construction industry. This is evident from enhancing project planning and design to improving construction …

Study level
PhD, Master of Philosophy, Honours
Faculty
Faculty of Engineering
School
School of Architecture and Built Environment

Artificial intelligence (AI) to balance fluctuations of intermittent renewable energy sources

Artificial intelligence (AI) can play a significant role in analyzing and predicting energy consumption and production patterns from renewable sources such as solar and wind (Lyu & Liu 2021). This is particularly important due to the key challenge of intermittency, where major renewable sources for electricity, such as solar and wind, are subject to the inconsistencies of the weather (Watson et al., 2022).In this project, we investigate how AI and machine learning algorithms can optimize smart grids and other components …

Study level
PhD, Master of Philosophy, Honours
School
School of Information Systems
Research centre(s)
Centre for Data Science

Advanced materials for redox flow batteries

Grid-scale energy storage for intermittent renewables like solar and wind is an essential element of the transition away from fossil fuel based electricity production. Redox flow batteries have some very interesting characteristics for this stationary storage application:they are safer than other battery typesthe amount of energy stored can typically be scaled up easilythe power and energy of a system are more decoupled compared to lithium and other batteries, making them flexible in their design parameters.Ion exchange membrane and electrode are …

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

Improving cow fertility: targeting exosome-responsive pathways

Exosomes are small (40-120 nm), stable, lipid bilayer nanovesicles identified in biological fluids (e.g. in Until recently, genetic selection in dairy cows has focused primarily on milk production traits, with very few countries including functional traits such as fertility in selection indices. Poor reproductive efficiency in dairy herds results in fewer calves, reduced milk production, high involuntary culling rates and increased cow maintenance costs. The need for, and utility of, markers of early onset of diseases (or vulnerability to diseases) …

Study level
PhD, Master of Philosophy
Faculty
Faculty of Health
School
School of Biomedical Sciences

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