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 553 matching student topics
Displaying 61–72 of 553 results
Does winning breed winning? Winner–loser effects in professional doubles tennis
Athletes, fans and commentators often believe that success generates momentum: winning a crucial point, game or set may increase confidence and make subsequent success more likely. This idea is commonly described as the “hot-hand” effect. However, decades of research have produced mixed findings. Some studies suggest that streaks are largely perceived rather than real, while others find evidence that previous success can influence later performance through confidence, strategic adjustment, physiological responses or changes in risk-taking.This project investigates winner–loser effects in …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Business and Law
- School
- School of Economics and Finance
- Research centre(s)
- Centre for Behavioural Economics, Society and Technology
Centre for Behavioural Economics, Society and Technology
When football wins move people: sport, mobility and COVID-19 compliance around the world
The COVID-19 pandemic demonstrated that the effectiveness of public-health rules depends not only on what governments require, but also on whether people change their everyday behaviour. Lockdowns, gathering limits and movement restrictions were intended to reduce contact and transmission, yet compliance varied widely between countries, regions and moments in time. One potentially important but underexplored source of behavioural pressure is sport. Football victories can create strong emotions, collective identity and incentives for fans to gather, celebrate and travel, even when …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Business and Law
- School
- School of Economics and Finance
- Research centre(s)
- Centre for Behavioural Economics, Society and Technology
Centre for Behavioural Economics, Society and Technology
Reinventing the Academy: Innovation, Strategy, and Change in Universities
Universities are among the most enduring institutions in society, yet they now face an unprecedented combination of pressures — from financial constraints and geopolitical tensions to the rise of generative AI and growing expectations around societal impact. Despite their well-documented role in driving innovation for others, how universities innovate themselves as organisations remains surprisingly understudied. This creates a timely and important opportunity for scholarly inquiry into the drivers, barriers, and processes of innovation within higher education institutions.
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Business and Law
- School
- School of Management
AI in Entrepreneurship
Artificial intelligence (AI) is transforming entrepreneurship in profound and far-reaching ways, yet our scholarly understanding of this transformation remains nascent and uneven. AI is not only reshaping how entrepreneurs create and grow ventures, but is also challenging the very foundations of how we study entrepreneurship — questioning long-held assumptions about agency, creativity, opportunity, and what it even means to be an entrepreneur in an AI-driven world.
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Business and Law
- School
- School of Management
Mathematical and statistical methods for change point detection in precision fermentation
Precision fermentation uses microorganisms such as yeast to produce valuable biological products for food, biotechnology and synthetic biology. A major challenge is that microbial growth and production can change when cells switch between different metabolic regimes. These changes may occur because of nutrient depletion, stress responses, dilution conditions, or shifts in how cells allocate resources between growth and product formation.This PhD project will develop new mathematical and statistical methods for detecting these metabolic change points from experimental data. The project …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Mathematical Sciences
Smart electrochemical aptamer biosensors for continuous monitoring cell health and function
Microphysiological systems including organ-on-chip platforms and 3D tissue models are transforming how we study human biology, enabling advanced in vitro models for tissue regeneration and drug testing that are far more physiologically relevant than conventional cell culture. The critical challenges for mass production, quality control, tracking their health and function in advanced in vitro models still remain. Monitoring cell health and function in these systems still relies on destructive or invasive methods, requiring cell sacrifice or physical sampling at a …
- Study level
- PhD
- Faculty
- Faculty of Engineering
- School
- School of Mechanical, Medical and Process Engineering
- Research centre(s)
- Centre for Biomedical Technologies
Detecting metabolic regime switching using dilution-resolved growth data: mathematical modelling, statistical inference and uncertainty quantification
Microbial populations rarely grow according to a single fixed physiological program. As nutrients are consumed, waste products accumulate and environmental stress changes, cells can transition between distinct metabolic regimes associated with growth, maintenance, fermentation, respiration and survival. These transitions are biologically important and industrially relevant, but they are often difficult to detect directly from standard growth curve summaries such as maximum growth rate, lag time, carrying capacity or area under the curve.This project will develop new mathematical and statistical methods …
- Study level
- PhD, Master of Philosophy
- Faculty
- Faculty of Science
- School
- School of Mathematical Sciences
Trust formation in generative AI–supported mental health Services
Generative Artificial Intelligence (GenAI) tools such as chatbots and AI companions are increasingly positioned as accessible forms of mental health support. However, user engagement with these services depends heavily on trust, particularly in contexts characterised by vulnerability, stigma, and emotional risk. Trust in mental healthcare differs from trust in other service settings, raising important questions for marketing and service researchers.This project investigates how trust is formed and evaluated in GenAI‑supported mental health services from a consumer and service marketing perspective. …
- Study level
- Master of Philosophy
- Faculty
- Faculty of Business and Law
- School
- School of Advertising, Marketing and Public Relations
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
Volcanic stratigraphy of mineralised Precambrian terranes
This research examines the geological evolution of mineralised terranes, with a particular focus on the stratigraphic, volcanic, and tectonic controls on mineralisation. By reconstructing the geological history of mineral systems, I seek to improve exploration models.These projects are done in collaboration with industry partners and supported through industry-sponsored projects, providing opportunities to address both fundamental scientific questions and applied exploration challenges.
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Earth and Atmospheric Sciences
Reconciling competing perspectives of mathematics in teacher education
This project explores how pre-service teachers experience and reconcile competing conceptions of mathematics, such as mathematics as a formal discipline versus a pedagogical practice. These tensions can shape teaching approaches and classroom environments.The project will investigate how teacher education programs influence these perspectives and how pre-service teachers develop coherent professional identities.
- Study level
- PhD
- Faculty
- Faculty of Creative Industries, Education and Social Justice
- School
- 1043176
AI, data, and mathematical thinking in education
This project explores how emerging technologies, including artificial intelligence, influence mathematical thinking, teaching, and learning. It focuses on how students and teachers engage with data-rich and AI-supported environments.The project aligns with ongoing work in quantitative reasoning, modelling, and educational innovation, including research on adaptive learning technologies.
- Study level
- PhD, Master of Philosophy
- Faculty
- Faculty of Creative Industries, Education and Social Justice
- School
- 1043176
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