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 73 matching student topics
Displaying 25–36 of 73 results
Data Management and Privacy Law for Transnational Corporate Entities
Dr Lucy Cradduck is looking for PhD/MPhil candidates wishing to examine cross-jurisdictional data management and privacy concerns for transnational corporations, particularly comparing EU, South East Asian nations and Australia. Candidates with an interest in approaching the topic through empirical approaches involving interviews and stakeholder engagement are particularly encouraged. This topic is led by the QUT School of Law within the Datafication and Automation of Human Life research group.
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Business and Law
- School
- School of Law
The Law and Policy of Satellite and Large Data in Environmental and Land Use Management
Dr Evan Hamman is looking for PhD/MPhil candidates wanting to explore the relationship between space technologies and large data sets in the mapping, managing and directing of human land use. Candidates interested in exploring the relationships between land use management, data science and environmental law and regulations are particularly encouraged. The focus can be Australia, comparative or public international law. This topic is led by the QUT School of Law within the Datafication and Automation of Human Life research group. …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Business and Law
- School
- School of Law
Digitising Legislation
Dr Anna Huggins is looking for PhD/MPhil candidates interested in the emerging computational law project of translating legislation into digital forms. This could involve top down conceptualisation of the translation of legislative provisions or projects examining in detail the digitisation of specific legislation. Candidates with a background in data science, public administration and/or law are encouraged to apply. This topic is led by the QUT School of Law within the Digital Social Contract and Datafication and Automation of Human Life …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Business and Law
- School
- School of Law
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
Giant viruses in the human gut microbiome
The human body is home to a vast ecosystem of microorganisms including bacteria, archaea, fungi, viruses, and bacteriophages that make up the human microbiota. These microbes and their collective genetic material, known as the microbiome, influence a wide range of physiological functions including nutrient production and absorption, the development and regulation of our immune system, protection against potential pathogens, and even our mood and mental health. While distinct microbial communities exist throughout the body, the gut microbiome has gained particular …
- Study level
- Master of Philosophy, Honours
- Faculty
- Faculty of Health
- School
- School of Biomedical Sciences
- Research centre(s)
-
Centre for Microbiome Research
Driver engagement and risk in automated driving: Advanced data analytics leveraging driver monitoring systems
The project aims to the explore concept of empathic machines in the context of driver monitoring systems (DMS) and automated driving. The successful candidate will contribute to advancing the understanding of driver engagement, situation awareness, and risk through leveraging advancements in data science techniques on vehicle sensor, DMS, and other related datasets.To apply for this position, please submit the following documents:a cover letter outlining your research interests, relevant qualifications, and motivation to join the Empathic Machines projecta detailed curriculum vitae …
- Study level
- PhD
- Faculty
- Faculty of Engineering
- School
- School of Civil and Environmental Engineering
- Research centre(s)
- Centre for Data Science
Centre for Future Mobility
Making predictions using simulation-based stochastic mathematical models
Stochastic simulation-based models are very attractive to study population-biology, disease transmission, development and disease. These models naturally incorporate randomness in a way that is consistent with experimental measurements that describe natural phenomena.Standard statistical techniques are not directly compatible with data produced by simulation-based stochastic models since the model likelihood function is unavailable. Progress can be made, however, by introducing an auxiliary likelihood function can be formulated, and this auxiliary likelihood function can be used for identifiability analysis, parameter estimation and …
- Study level
- PhD, Master of Philosophy
- Faculty
- Faculty of Science
- School
- School of Mathematical Sciences
- Research centre(s)
- Centre for Data Science
Statistics via scalable Monte Carlo
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Mathematical Sciences
- Research centre(s)
- Centre for Data Science
Strengthening security for cloud computing applications
In today's digital landscape, applications are increasingly being deployed on cloud platforms, offering benefits such as streamlined management and cost-effectiveness. However, even with the efforts of cloud providers to deliver reliable services, the risk of runtime failures and faults still exists. This project aims to address this challenge by exploring innovative approaches to detect and mitigate errors that occur during the operation of cloud-based applications. By proactively identifying and resolving runtime issues, we can enhance the overall performance, reliability, and …
- Study level
- Honours
- Faculty
- Faculty of Science
- School
- School of Computer Science
Profiling aerosol liquid water content over Australia
Aerosol liquid water content (ALWC) is a ubiquitous constituent in atmospheric aerosol particles. The degree of ALWC present in aerosol particles is influenced various factors, including relative humidity, temperature, particle mass, size distribution, and aerosol composition. Comprehensive analyses on ALWC have been conducted in the Northern Hemisphere, but similar work has rarely been done in the Southern Hemisphere due to the scarcity of aerosol particle measurements. In the atmosphere, ALWC scatters radiation and reduces visibility, significantly affecting air quality, weather, …
- Study level
- Honours
- School
- School of Earth and Atmospheric Sciences
SafeAge product safety
Older persons as a cohort are at high risk of consumer product-related injury and death. The most recent Australian research into product safety issues for older persons was conducted over 25 years ago, yet the marketplace and product technology have changed dramatically and the population at risk has grown.This Australian Research Council funded Discovery Project aims to generate contemporary knowledge of the role of consumer products in injuries and deaths for older persons. It is a 3-year collaborative academic research …
- Study level
- PhD
- School
- School of Public Health and Social Work
- Research centre(s)
- Centre for Healthcare Transformation
Australian Centre for Health Services Innovation
Empowering communities with DataCare: ethical data practices for smart cities
Smart cities hold immense potential for progress, but their success hinges on citizen empowerment and ethical data practices. Our research initiative, DataCare, aims at reshaping the landscape of smart cities by prioritising citizens, communities, and small businesses. This project, developed in collaboration with Brisbane Residents United (BRU), focuses on transforming smart cities from profit-driven entities to community-led developments.BRU is a community association serving as a vital grassroots advocacy and peer support network for suburban and local resident groups across Greater …
- Study level
- PhD, Master of Philosophy
- School
- School of Design
- Research centre(s)
- Digital Media Research Centre
Design Lab
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