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 542 matching student topics
Displaying 61–72 of 542 results
Co-designing ambient assistive technologies
Vision-based technologies offer new possibilities to assist individuals with cognitive disabilities to live independently. Ambient assistive technologies, such as smart mirrors and social robots, enable new ways to interact at home with AI technologies that can see.How can we engage people of all abilities in co-designing ambient assistive technologies?Participation in design is often defined on a spectrum where stakeholders can be categorised as simple informants (surveyed at the start of a project), evaluators (involved in trial iterations of a design), …
- Study level
- PhD, Master of Philosophy
- Faculty
- Faculty of Science
- School
- School of Computer Science
Exploring the accessibility needs of visually impaired peer workers in digital employment support platforms
This project will explore how blind and visually impaired (VI) peer workers use digital platforms in their day to day practice, with the aim of identifying or co-designing a platform that is accessible, JAWS compatible and aligned with the requirements of industry partner Chapter1’s peer-led employment services.
- Study level
- Master of Philosophy
- Faculty
- Faculty of Science
- School
- School of Computer Science
α-Synuclein–specific T-cell responses as early adaptive immune markers of Parkinson's disease
Parkinson’s disease develops over many years before motor symptoms become clinically apparent, limiting opportunities for early intervention. Increasing evidence suggests that adaptive immune responses, particularly T cells that recognise α-synuclein, may emerge during at-risk and early stages of disease.This project will investigate whether α-synuclein–specific T cells are expanded in at-risk individuals and early Parkinson's disease patients, with the goal of identifying early immune changes that may precede clinical disease onset.
- Study level
- Master of Philosophy
- Faculty
- Faculty of Health
- School
- School of Biomedical Sciences
Early innate immune signatures as biomarkers of Parkinson's disease onset
Parkinson's disease is typically diagnosed after the onset of motor symptoms, when significant neurodegeneration has already occurred. Growing evidence suggests that immune dysregulation, particularly within the innate immune system, may arise in the prodromal and early stages of disease and contribute to disease initiation.This project will investigate whether individuals in the prodromal and early stages of Parkinson's disease exhibit distinct peripheral immune signatures, focusing on monocyte and macrophage polarisation and plasma cytokine profiles, with the aim of identifying early immune …
- Study level
- Master of Philosophy
- Faculty
- Faculty of Health
- School
- School of Biomedical Sciences
SLAM inside the human body: camera tracking and 3D reconstruction for medical procedures
Minimally invasive surgery and endoscopic interventions rely heavily on the clinician’s ability to understand and navigate complex internal anatomy using only a narrow and often restrictive field of view. Having access to an accurate and dynamic 3D reconstruction of the endoscopic scene, together with reliable camera pose estimation can significantly improve spatial awareness and navigation during procedures. The generated map can be used alongside the device’s estimated location to help clinicians better orient themselves within the patient, and it also …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Engineering
- School
- School of Electrical Engineering and Robotics
Supporting Boundary Management in Young People’s AI Companion Interactions
We invite applications for a PhD position within an interdisciplinary research team examining how young people engage with AI companion chatbots (e.g., Character.AI, Replika) and how they manage risks and boundaries in these interactions.AI companions have grown in popularity since the COVID-19 pandemic and are increasingly used by young people seeking connection. This trend raises important concerns, including exposure to harassment, misinformation, and self-harm, as well as the potential impact on human relationships when reliance on AI companions becomes significant.This …
- Study level
- PhD
- Faculty
- Faculty of Science
- School
- School of Computer Science
Physics informed machine learning for energy forecasting
Accurate forecasting is at the heart of many modern industries from energy and transport to retail, supply chains, finance, climate, and health. This research project explores deep learning approaches for time-series forecasting, investigating how modern architectures such as recurrent neural networks, LSTMs, Temporal Convolutional Networks, transformers, and multimodal foundation models can shape the next generation of forecasting systems.The overarching goal is to develop robust, interpretable, and scalable forecasting models that outperform classical methods and work effectively in real-world settings, including …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Mathematical Sciences
- Research centre(s)
- Centre for Data Science
Energy Transition Centre
Improving access to information and support for burn survivor communities
This PhD project will explore the information and support needs of people with lived experience of burn injuries, their families and communities. The project will focus on people with burn injuries once they leave hospital or when the majority of their burns have healed. The likely outcome of the project will be resources and strategies that help burn survivors, their families and communities access information and support which they have expressed is a high priority.
- Study level
- PhD
- Faculty
- Faculty of Health
- School
- School of Public Health and Social Work
- Research centre(s)
- Australian Centre for Health Services Innovation
Australian Centre for Health Services Innovation
From lab to market: enhancing the translation of publicly funded research into commercial impact
Despite substantial advances in science, the translation of research findings into commercial products and services remains limited and uneven. Many promising ideas stall in the “valley of death” between laboratory discovery and market adoption, resulting in under-realised economic and societal impact.This research topic examines how scientific knowledge can be more effectively transformed into entrepreneurial ventures and innovations that deliver tangible outcomes. Positioned at the intersection of entrepreneurship and innovation, the topic explores the organisational, institutional, and individual factors that enable …
- Study level
- PhD, Master of Philosophy
- Faculty
- Faculty of Business and Law
- School
- School of Management
- Research centre(s)
- Centre for Future Enterprise
Australian Centre for Entrepreneurship Research
Mathematical modelling of brain cancer informed by patient data
In this research project, you will develop a mathematical model, known as an agent-based model, to capture the development of a brain cancer in a patient. The model will then be matched to clinical samples from patients and used to make predictions around treatment efficacy.
- Study level
- Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Mathematical Sciences
- Research centre(s)
- Centre for Data Science
Wearable futures: designing next-generation devices for Parkinson's disease
More than 10M people worldwide suffer from Parkinson’s disease (PD). As a neurodegenerative disease it is difficult to manage with adult-onset and slow progression with both both motor (walking problems, slowed movements, tremors, etc) and non-motor (anxiety, depression, cognitive decline, etc) symptoms. Current treatments focus on symptoms and clinical assessments based on intermittent, subjective evaluations with a 20 minute visit to a neurologist every six months. This cannot capture the daily fluctuation of symptoms effectively. Non-motor symptoms remain under-assessed and …
- Study level
- PhD
- Faculty
- Faculty of Creative Industries, Education and Social Justice
- School
- School of Design
- Research centre(s)
- QUT Design Lab
Design Lab
Forecast stability and volatility control in decision-centric time series forecasting
This project aims to develop forecasting models that balance accuracy with stability, minimising unnecessary changes in predictions that can disrupt operational decisions.
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Mathematical Sciences
- Research centre(s)
- Centre for Data Science
Energy Transition Centre
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.