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.

Filter by faculty:

Found 543 matching student topics

Displaying 37–48 of 543 results

The human factors in self-service technology

Organisations are increasingly moving toward self-service technology (where consumers deliver services themselves using technological interfaces). While this increases organisational efficiencies, it has the potential to significantly impact customer engagement with the organisation. We're seeking a Masters or PhD student to investigate the human factors involved in self-service technology delivery: How do situational factors impact consumers' adoption of self-service technologies? What motivators and inhibitors impact self-service technology usage? Do consumers always respond appropriately within self-service environments? The successful applicant for this …

Study level
PhD, Master of Philosophy

Exploring organisational culture and employee change attitudes in nonprofit human service organisations.

Study level
PhD
Faculty
Faculty of Business and Law
School
School of Management

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
School of Education

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
School of Education

Mathematics Teacher Education Across the Primary–Secondary Continuum

This project examines how mathematics teacher education develops across primary and secondary contexts, focusing on curriculum, pedagogy, reasoning, and assessment.The project builds on current research examining how teacher education is designed differently across contexts and schooling levels.

Study level
PhD, Master of Philosophy
Faculty
Faculty of Creative Industries, Education and Social Justice
School
School of Education

Developing teacher capability in statistical reasoning and modelling

This project investigates how teachers develop confidence and capability in teaching statistics, probability, and modelling. It focuses on strengthening pedagogical and content knowledge in complex mathematical domains.This project builds on extensive experience in pre-service teacher education and research on strengthening statistical reasoning and conceptual understanding.

Study level
PhD, Master of Philosophy
Faculty
Faculty of Creative Industries, Education and Social Justice
School
School of Education

Bridging Real-World Modelling and Secondary Mathematics Education

This project explores how authentic modelling approaches (for example Bayesian reasoning and systems thinking) can be integrated into secondary mathematics classrooms to enhance engagement and conceptual understanding.

Study level
PhD, Master of Philosophy
Faculty
Faculty of Creative Industries, Education and Social Justice
School
School of Education

Modelling educational equity and access pathways

This project examines how pathways of disadvantage and success develop across schooling. It focuses on identifying how socio-economic, wellbeing, and contextual factors interact over time to shape outcomes.This project extends ongoing research into student engagement trajectories and aligns with faculty priorities in inclusive and socially just education.

Study level
PhD, Master of Philosophy
Faculty
Faculty of Creative Industries, Education and Social Justice
School
School of Education

Page 4 of 46

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.