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 336 matching student topics
Displaying 157–168 of 336 results
Climate justice: analysing eco-equity in the energy market
Climate justice aims at sharing the benefits and burdens of climate change equitably between individuals and communities, regardless of their socioeconomic status, geographic location, or other demographic factors (Upham et al., 2022). Yet, ethnic minority populations are disadvantaged, for example, with rising energy costs and limited access to renewable energy sources, such as African Americans in the United States (Nature Energy Editorial, 2020) or Aboriginal and Torres Strait Islanders in Australia (Cain, 2024).In this project, we analyse eco-equity as a …
- Study level
- PhD, Master of Philosophy, Honours
- School
- School of Information Systems
- Research centre(s)
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Centre for Behavioural Economics, Society and Technology
An identity-based approach to entrepreneurial education
Entrepreneurs are motivated by their passion to create solutions. How they define themselves shape the purpose of their start up and influence their decision matrix on a daily basis. This research program aims to design and evaluate various development approaches to support entrepreneurs journey.
- Study level
- PhD
- School
- School of Management
- Research centre(s)
- Centre for Future Enterprise
A Human-centric eXplainable Automated Vehicle
CARRS-Q has developed a strong expertise in AV and ADAS, and operate an Automated Vehicle for its research on test track and open roads.We have collected more than 12,000km of sensor data in various Australian conditions, and we are progressing quickly to a broader understanding of safe operation of AV technologies on our roads. We are looking for PhD candidates to progress further on these topics. PhD positions are available for highly motivated domestic and/or international students to work on …
- Study level
- PhD
- Faculty
- Faculty of Health
- School
- School of Psychology and Counselling
Development of a multiplexed gut micro-bioreactor for functional screening of gut microbiome
The human microbiome refers to the collection of micro-organisms that are living symbiotically in the human body (defined as the “microbiota”), their genetic material as well as the surrounding environmental habitat.It is now appreciated that the microbiome plays an important role in human health and diseases. Various disease states have been linked to dysregulation of the gut microbiota, including neurodegenerative, cardiovascular and metabolic diseases. The composition of the gut microbiome can also affect responses to therapies, most notably in cancer …
- 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
Centre for Microbiome Research
Determining the response to PARP inhibitor treatment of ovarian cancer in mouse xenograft model
Our cellular DNA is constantly under threat from both exogenous and endogenous factors. DNA repair pathways function to maintain genomic stability, preventing deleterious mutations that may ultimately lead to cancer initiation. When a tumour forms, it becomes genetically unstable, allowing environmental adaptation. This genetic instability can also result in gene mutations and protein expression alterations that can be targeted to induce cancer-specific cell death (phenomenon also known as synthetic lethality). For example, it has been shown that cells deficient in …
- Study level
- Honours
- Faculty
- Faculty of Health
- School
- School of Biomedical Sciences
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
Exploring the effects of interactions with intelligent agents in immersive systems
This research project aims to investigate the effects of interactions with intelligent agents on player experiences in various contexts, including videogames, learning-teaching, and complex data analysis. The intelligent agents will be developed using ChatGPT as a backend, and the studies will be conducted in both single-player and multiplayer settings, utilizing virtual and augmented reality technologies.
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Computer Science
The transition from education to employment for migrants in Australia
The extent to which current employability models explain the transition from education to work for migrants in Australia has received little empirical attention to date. For example, social capital plays an integral part in most young people's transitions into employment, yet many migrant Australians lack accessibility to social networks that create employment opportunities outside their local communities.This topic would be suitable for students who are interested in exploring migrant job seekers’ experiences in transitioning from education to employment across urban …
- Study level
- PhD, Master of Philosophy
- Faculty
- Faculty of Business and Law
- School
- School of Management
The role of complex singularities in geometric flows
A popular topic in differential geometry involves studying the singularity structure of geometric flows. The most well-known example is mean curvature flow. In this example, surfaces evolve according to a flow rule that relates the speed of the surface to its curvature. Certain surfaces will evolve until singularities occur in finite time, and these singularities can be studied using similarity solutions and asymptotic analysis.In this project, a different perspective is applied to these problems, namely the use of complex variable …
- Study level
- Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Mathematical Sciences
Enabling effective novice-expert interactions: co-designing immersive systems for complex remote data analysis
This student research topic focuses on exploring and developing immersive systems that facilitate interactions between novice and expert users in the context of complex remote data analysis. The goal is to design and prototype innovative solutions that enhance the collaboration, learning, and training aspects of data analysis tasks.The research will involve investigating various immersive technologies and their potential application in bridging the gap between novice and expert users, enabling effective knowledge transfer and skill acquisition.
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Computer Science
Leveraging Big Data and AI/ML for Smart Transport Solutions
This PhD position aims to harness the potential of big traffic and mobility data alongside cutting-edge AI/ML algorithms to pioneer innovative solutions for optimizing smart motorways and/or arterial traffic flow. By leveraging these technologies, the project endeavours to develop and test smart algorithms, with the goal of significantly enhancing the efficiency and safety of road networks.Send via email to Prof. Ashish Bhaskar (ashish.bhaskar@qut.edu.au):a brief statement detailing your suitability for the positiona detailed curriculum vitae, including a list of publications, if …
- Study level
- PhD
- School
- School of Civil and Environmental Engineering
- Research centre(s)
- Centre for Data Science
Advancing monitoring of diverse grass pollen with computer vision
We're seeking a motivated student to join the multidisciplinary project that brings together computer vision and deep learning field with pollen aerobiology. This is a fully funded PhD program for a three-year period starting in 2024. It's part of the project funded by the Australian Research Council Discovery Program—Digitally-Integrated Smart Sensing of Diverse Airborne Grass Pollen Sources. The successful candidate will be primarily based in the Allergy Research Group at QUT's Kelvin Grove campus.Grass pollen is the main outdoor allergen …
- Study level
- PhD
- School
- School of Biomedical Sciences
- Research centre(s)
- Centre for Robotics
Centre for Immunology and Infection Control
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