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 40 matching student topics

Displaying 25–36 of 40 results

International Environmental Law and Politics

Many environmental issues are globally significant problems and countries have to engage and interact with each other to resolve them despite having different domestic priorities. Current challenges around climate, land degradation, biodiversity loss, and plastics are just some of the issues that are influenced by international standards, agreements and institutions.

Study level
PhD, Master of Philosophy
Faculty
Faculty of Business and Law
School
School of Law

International entrepreneurship in a digital era

I am interested in supervising students with a high level of commitment and ambition to publish on top academic journals.My interests are around international entrepreneurship (international business and also entrepreneurship), emerging markets, innovation, and digitalisation.Topics that include two or more of these fields are of my interest, and I would be keen to see your proposal and work with you on shaping it to a high standard.

Study level
PhD
Faculty
Faculty of Business and Law
School
School of Management
Research centre(s)

Australian Centre for Entrepreneurship Research

Interactive (and collaborative) robot programming using language (Project 2.5 - Joint CSIRO/ACC)

Programming robots to carry out desired tasks is difficult and time-consuming. This PhD project focuses on collaborative and instructional dialogue agents to help human operators program robot tasks.In this collaborative scenario, a human operator converses with an AI agent to explain the steps that are to be performed, using high-level references and abstractions that make sense to the human, as opposed to simple verbal instructions corresponding to rudimentary robot movements. The AI agent must interpret the high-level instructions and translate …

Study level
PhD
School
School of Design
Research centre(s)

Design Lab

Computational drug repurposing for neuropsychiatric disease

While hundreds of robust genetic associations have been found for neuropsychiatric disease (such as schizophrenia, major depression, and anxiety) understanding the exact molecular mechanisms leading to disease onset and progression remains challenging. Inherited (i.e. genetic) risk factors for many neuropsychiatric diseases converge on genes that are co-ordinately expressed (co-expressed) in a disease-relevant tissue (e.g. brain). The study of how genetic risk factors affect co-expressed genes (i.e. gene co-expression analysis) has the potential to uncover new biological processes underlying disease onset. …

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

Robot learning for navigation, interaction, and complex tasks

How can robots best learn to navigate in challenging environments and execute complex tasks, such as tidying up an apartment or assist humans in their everyday domestic chores?Often, hand-written architectures are based on complicated state machines that become intractable to design and maintain with growing task complexity. I am interested in developing learning-based approaches that are effective and efficient and scale better to complicated tasks.Especially learning based on semantic information (such as extracted by the research in semantic SLAM above), …

Study level
PhD
Faculty
Faculty of Engineering
School
School of Electrical Engineering and Robotics

Development of a 3D Printed Nasal Model to Study Viral-Airway Interactions

As airway infections become pandemic worldwide, airway models to investigate pathogen infection mechanism and nasal drug delivery is now increasingly important. However, current airway models cannot mimic the triad coupling of human nasal anatomical geometries, aerosol flow and biological responses (e.g. infection and inflammation) from the nasal epithelium.Computational fluid dynamics (CFD) models are used for simulating pathological airflow patterns resulting from anatomical structural changes of the nasal cavities, but they cannot measure phenotypic or functional alterations in the nasal epithelium …

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

Bacteria - mammalian cell interactions in implant-associated infections

The recent COVID-19 pandemic reminds us of how difficult it is to control infectious diseases. Pathogenic microorganisms are known to be extremely 'smart' and are able to quickly develop mechanisms against most of our strategies aimed at eradicating them. Our group is focused on bacterial infections to implants and medical devices. We are in the pursuit to outsmart the bacteria to develop the next generation medical device and implant materials.Anthony Gristina conceptualized in 1987 that bacteria compete with tissue cells …

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

Haptics controllers for natural interactions in VR

Virtual reality (VR) technologies have become cheaper and more accessible in the last couple of years. This allowed for exploring their use in different areas including gaming, health, education and training settings.While VR can provide high immersion via augmenting our senses in the virtual environment, user interaction with the virtual environment has been limited relying on pre-set gestures or default controllers designed by the companies who built the VR gears.The Vive Tracker is an accessory for HTC Vive which allows …

Study level
PhD, Master of Philosophy, Honours
Faculty
Faculty of Science
School
School of Computer Science

HoliCOW – A holobiont strategy to decipher core host-microbiota interactions in cows

To meet the goal of limiting global warming to 1.5C, methane emissions from ruminants such as beef and dairy cattle must be reduced by 11–30% by 2030 and by 24–47% by 2050 compared to 2010 levels. A newly funded Future Fellowship project is hiring 2 PhD students who will tackle this challenge by creating a thorough mechanistic understanding of the microbiological, biochemical and genetic processes that cause methanogenesis in the cow rumen. These activities will identify core beneficial microbiota that …

Study level
PhD
School
School of Biomedical Sciences
Research centre(s)

Centre for Microbiome Research

Promoting incidental physical activity and social interactions in public space

The World Health Organisation recently raised the alarm on the critical importance of physical activity and social interactions for mental and physical health, highlighting the need for active environments that support people to engage in healthy activities. In order to address the high-rates of physical inactivity and social isolation, we need additional research evidence to design high-quality public spaces that promote health and wellbeing for all ages. This study lies at the intersection of built environment, human behaviour, and health …

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

Predicting alternative states induced by multiple interacting feedbacks: seagrass ecosystems as a case study

This project seeks to explore the complex dynamics that might arise from multiple interacting feedbacks in marine ecosystems, by designing ordinary and/or partial differential equation models of these feedbacks and analysing the steady states and/or temporal dynamics of the proposed model(s).It has been hypothesised that many social and ecological systems exhibit alternative stable states due to feedback processes that keep the ecosystem in one state or the other. The result can be tipping points, which are difficult to predict but …

Study level
PhD, Master of Philosophy, Honours
Faculty
Faculty of Science
School
School of Mathematical Sciences
Research centre(s)
Centre for Data Science
Centre for the Environment

Understanding international governance in Antarctica through cooperative game theory

Antarctica is governed by a coalition of 29 countries ('consultative parties') who must agree unanimously before a law can be passed. This project will apply theories from social network analysis and cooperative game theory to map relationships between the different parties, and to predict their behaviour on a series of important environmental issues.

Study level
PhD, Master of Philosophy, Honours
Faculty
Faculty of Science
School
School of Mathematical Sciences
Research centre(s)

Centre for the Environment

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