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 28 matching student topics
Displaying 1–12 of 28 results
The benefits of custom fit compression garments on markers of performance and recovery
Cape Bionics has its foundations in the aerospace industry in the design of compression suits worn by astronauts on the international space station. The research which underpinned the design of these space suits has now been applied to sport as a means of improving performance and recovery in elite athletes.For compression garments to be effective they must fit perfectly and apply specific pressure regimes. Cape Bionics use technology from the medical and aerospace industry to provide custom fit compression garments …
- Study level
- PhD
- Faculty
- Faculty of Health
- School
- School of Biomedical Sciences
The efficacy of Mental Health First Aid (MHFA) training in community sport
Organised sport is primarily community based in Australia; and the benefits of sport participation to individuals and communities are well documented. However, there is also evidence that participating in organised high-performance sporting programs is associated with psychological distress, elevated relative to community norms, which would usually warrant a need for care by a health professional. As such a case for improvement in mental health education and practice in sporting communities exists.Mental Health First Aid (MHFA) is a standardised, psychoeducational programme …
- Study level
- PhD, Master of Philosophy
- Faculty
- Faculty of Health
- School
- School of Exercise and Nutrition Sciences
Sport AI
Videos of sport activities are widely available at large scales. AI and its sub-fields, especially computer vision and machine learning, have a great potential to analyse, understand and extract useful information from these videos.This project aims at using AI and its subfields in computer vision and machine learning to develop techniques for analysing sport videos to extract intelligence for players and coaches.
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Engineering
- School
- School of Electrical Engineering and Robotics
Designing Inclusive Sports Technology for Broader Participation in Physical and Digital Sporting Environments
Sport and active participation play a critical role in physical health, social inclusion, wellbeing, and community connection. However, many people continue to face significant barriers to participation, including people with disabilities, and individuals experiencing mobility, sensory, cognitive, social, or economic constraint. Emerging sports technologies present new opportunities to broaden access and participation, yet many products, services, and systems remain designed for narrow user groups and performance contexts.This PhD project will investigate how sports technologies can be designed to support more …
- Study level
- PhD
- Faculty
- Faculty of Creative Industries, Education and Social Justice
- School
- School of Design
- Research centre(s)
- QUT Design Lab
Design Lab
My flow: Menstrual cycle Femtech for elite athlete performance optimisation through wearable technology
There is a need for additional studies to monitor on-field performance parameters in female elite athletes (Meignié 2021). We know that wearable sensors can be used to monitor the physiological and biochemical profile of athletes (Seshadri 2019), and a combination of several wearables is going to be more effective for accessing all relevant parameters (Düking 2016). However, there is limited research on the effects of menstrual cycle phases on elite athlete performance (Meignié 2021).This proposed research aims to bridge the …
- Study level
- PhD
- Faculty
- Faculty of Creative Industries, Education and Social Justice
- School
- School of Design
- Research centre(s)
-
Design Lab
Analysis of professional squash matches
This project concerns computer vision and statistical analysis of performance in professional level matches in the game of squash.The goal is to use computer vision and existing systems to capture and analyse patterns of play, allowing coaches and professional players to develop strategies to improve performance, to counter particular types of play and even to tailor game plans to attack individual opponents.
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Computer Science
- Research centre(s)
- Centre for Data Science
Impact assessment of mega events including Olympics
Mega events such as the Olympics or the Expo promise significant social and economic impacts. However, research in this field is limited in terms of methodologies, data as well as empirical case studies.
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Business and Law
- School
- School of Economics and Finance
Proactive micromobility safety assessment using AI-based video analytics and traffic conflict techniques
A fully funded PhD scholarship is available in the School of Civil and Environmental Engineering at Queensland University of Technology (QUT) as part of a newly awarded Australian Research Council (ARC) Discovery Project titled 'Shaping net-zero cities with safe and efficient micromobility solutions'.This PhD project will investigate the behavioural and safety interactions between pedestrians, micromobility users (e.g. e-scooters and e-bikes), and other road users in shared urban environments. The research will combine AI-based video analytics, trajectory analysis, behavioural modelling, and …
- Study level
- PhD
- Faculty
- Faculty of Engineering
- School
- School of Civil and Environmental Engineering
Exploring a vision for Olympic mobility
This PhD project explores innovative mobility concepts and strategic frameworks to support inclusive, safe, efficient, fun and sustainable transport for the Brisbane 2032 Olympic and Paralympic Games. With the games as a catalyst, the research investigates how major events can accelerate long-term mobility transformation, focusing on accessibility, active and public transport, integrated infrastructure, and emerging technologies. It will critically evaluate current transport planning in South East Queensland, benchmark international mega-event mobility strategies, and engage with diverse stakeholders including government agencies, …
- Study level
- PhD
- Faculty
- Faculty of Creative Industries, Education and Social Justice
- School
- School of Design
- Research centre(s)
- QUT Design Lab
Designing infrastructure for AVs in rural and remote Australia: built environment futures
As automated vehicles (AVs) begin to operate beyond controlled industrial environments and into the complex realities of rural and remote public roads, existing infrastructure must evolve to support their safe, reliable, and socially accepted deployment. From road geometry and signage to connectivity, rest stops and ecosystem interfaces, the built environment will play a critical role in enabling AV integration. However, rural infrastructure is often underfunded, poorly maintained, or not designed with automation in mind. Working within the ARC Training Centre …
- Study level
- PhD
- Faculty
- Faculty of Engineering
- School
- School of Civil and Environmental Engineering
- Research centre(s)
- Centre for Future Mobility/CARRSQ
Design Lab
Next-generation traffic signals for Safe, Efficient and Green Intersections
There is a full PhD scholarship available in the School of Civil and Environmental Engineering at Queensland University of Technology (QUT) to support the newly awarded ARC Linkage Project on Next-generation traffic signals using artificial intelligence-based video analytics for safe, efficient and green intersections. The stipend has a cash value of $32,500 per annum for 3 years.To apply for this position, please submit the following documents via email to m1.haque@qut.edu.au:a detailed curriculum vitae (CV) highlighting academic achievements, research experience and …
- Study level
- PhD
- Faculty
- Faculty of Engineering
- School
- School of Civil and Environmental Engineering
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
Contact us
If you have questions about the best options for you, the application process, your research topic, finding a supervisor or anything else, get in touch with us today.