Research thesis topics
Health
Description: Vision-based biometrics and biomarkers are known to be robust and personalized indices of human performance and in the near future may be deployed to improve healthy and safety, or to monitor health and disease. However, multimodal indices that are sensitive and specific across a number of domains are yet to be developed. This project will draw heavily from the fields of vision science, cognition, and computer science to develop and validate robust ocular biomarkers of human performance deficits linked to fatigue, sleepiness, ageing, and state and trait factors. This project suits someone with a strong computational ability (e.g., background in computer science or neuroscience, good knowledge of Python/Matlab/C or similar programming language) with a strong interest in biomedical and biomarker device development.
Principal supervisor: Daniel Joyce
Principal supervisor email: Daniel.Joyce@unisq.edu.au
Available academic programs:
- Master of Research (MRES)
- Doctor of Philosophy (DPHD)
- Cotutelle (DPHC)
Application open date: 11/06/2025
Application closing date: 31/12/2026
ÌÇÐÄvlog¹ÙÍø scholarship applications: Yes. Click here to explore available scholarships.
Other information: Please review the admission requirements for the academic program associated with this research topic. Contact the Principal Supervisor for further information.
Description: Sensory physiology is tuned to the statistical properties of the environments in which we evolved. Neuroplastic mechanisms further adapt us to the individual visual ‘colour diet’ that we consume. Sampling environmental colour is therefore an important but logistically challenging task. Satellite and remote sensing imagery is uniquely suited to sampling colour over large spatial and temporal scales. This project will analyse earth environments at scale to measure the cyclical nature of our colour and light environments, the limits of their encoding by the brain, and relations to mental and physical health and/or performance outcomes. This project suits someone with a strong computational ability (e.g., background in computer science or neuroscience) or with GIS experience.
Principal supervisor: Daniel Joyce
Principal supervisor email: Daniel.Joyce@unisq.edu.au
Available academic programs:
- Master of Research (MRES)
- Doctor of Philosophy (DPHD)
- Cotutelle (DPHC)
Application open date: 11/06/2025
Application closing date: 31/12/2026
ÌÇÐÄvlog¹ÙÍø scholarship applications: Yes. Click here to explore available scholarships.
Other information: Please review the admission requirements for the academic program associated with this research topic. Contact the Principal Supervisor for further information.
Description: New developments in sensory neuroscience have revealed specialized pathways that detect light to set how we think, feel, and act. Using novel lighting technology and computational methods, this project will measure how these attributes can be altered using targeted lighting interventions. This research will help transition lighting from a tool to a healthcare instrument and will ultimately support the health of disadvantaged and regional Australians.
Principal supervisor: Daniel Joyce
Principal supervisor email: Daniel.Joyce@unisq.edu.au
Available academic programs:
• Master of Research (MRES)
• Doctor of Philosophy (DPHD)
• Cotutelle (DPHC)
Application open date: 11/06/2025
Application closing date: 31/12/2026
ÌÇÐÄvlog¹ÙÍø scholarship applications: Yes. Click here to explore available scholarships.
Other information: Please review the admission requirements for the academic program associated with this research topic. Contact the Principal Supervisor for further information.
Agriculture and Environment
Description:
Fire is a key driver of ecological dynamics in terrestrial ecosystems. As such, understanding the effects of fire (and particularly different fire regimes) on ecosystem dynamics above and below ground is critical to ecosystem management. Fire has been used for millennia by Indigenous Australians for wildfire reduction and as part of caring for Country More recently, with colonization, we have seen significant shifts in the way we use fire to manage bushfire risk. The aim of this research will be to improve our understanding of vegetation and soil fungal community responses to different burning regimes in native savanna communities in the Brigalow Belt bioregion of Queensland and northern NSW.
Principal supervisor: Kathryn Reardon-Smith
Principal supervisor email: Kathryn.Reardon-Smith@unisq.edu.au
Available academic programs:
• Master of Research (MRES)
• Doctor of Philosophy (DPHD)
• Cotutelle (DPHC)
Application open date: 13/06/2025
Application closing date: 31/12/2026
ÌÇÐÄvlog¹ÙÍø scholarship applications: Yes. Click here to explore available scholarships.
Other information: This is an open call for candidates who may wish to conduct research in this area. We welcome all enquiries. Please contact Kate Reardon-Smith or Christina Birnbaum.
Description:
Geotechnical engineers frequently face substantial uncertainty when designing the stability of soil structures, such as retaining walls, foundations, and slopes. These uncertainties arise due to the inherent variability of soil properties, measurement errors, and the limitations of available data. Traditional deterministic approaches, which replace design parameters with single mean values, may oversimplify the complexity of soil behavior and fail to capture the full spectrum of potential outcomes.
To address these challenges, Monte Carlo Simulations (MCS) provide a robust alternative by incorporating probabilistic methods to account for parametric uncertainty. Through repeated random sampling and statistical modeling, MCS can evaluate the impact of variable soil properties on the stability of geotechnical structures. This enables engineers to predict a range of possible outcomes and assess their likelihood, thereby facilitating more informed design decisions.
This study aims to provide a comprehensive probabilistic framework for analyzing the stability of spatially variable soils. By integrating stochastic methods and finite element limit analysis, the proposed approach considers the heterogeneity and anisotropy of soil properties, offering deeper insights into failure mechanisms and safety margins. Probabilistic stability results are compared with those published in renown literature, and comprehensive sets of design contour charts to determine the probability of design failure (PF) are developed for a practical range of deterministic factors of safety. The extensive results reported in this study would be of great interest to engineering practitioners since the framework aims to improve risk assessment, optimize design strategies, and enhance decision-making under uncertainty in geotechnical engineering practice.
Principal supervisor: Jim Shiau
Principal supervisor email: Jim.Shiau@unisq.edu.au
Available academic programs:
• Master of Research (MRES)
• Doctor of Philosophy (DPHD)
Application open date: 30/06/2025
Application closing date: 31/12/2026
ÌÇÐÄvlog¹ÙÍø scholarship applications: Yes. Click here to explore available scholarships.
Other information: Please review the admission requirements for the academic program associated with this research topic. Contact the Principal Supervisor for further information.
Description:
Natural ecosystems play a key role in supporting agricultural production systems through a range of ecosystem services, including carbon storage, soil health, hydrological function (e.g., water infiltration, flood mitigation), and pest and pollination services. Research undertaken to date in cropping landscapes has increased our understanding of the contribution that natural ecosystems on and around farms make in providing these important services. It has identified and quantified individual services and investigated best management practises to enhance their value. However, rarely does this research focus on the flow of services (and dis-services) between agricultural and natural elements within landscapes or the increased resilience that ecological theory predicts will ensue from integrated management of agri-ecological landscapes. Decision making (from farm level to industry and policy level) in the face of projected increases in climate variability and growing pressure on the natural resource base is also increasingly complex and subject to significant uncertainty (e.g. Brady et al., 2012, 2019).
This research will investigate the interactions between natural environments and crop production systems in agricultural landscapes and develop an integrated systems framework to support decisions aimed at enhancing both environmental and agricultural productivity outcomes at a range of scales from property to landscape level under a range of probable climate and land use/land cover futures.
Principal supervisor: Kathryn Reardon-Smith
Principal supervisor email: Kathryn.Reardon-Smith@unisq.edu.au
Available academic programs:
• Master of Research (MRES)
• Doctor of Philosophy (DPHD)
Application open date: 13/06/2025
Application closing date: 31/12/2026
ÌÇÐÄvlog¹ÙÍø scholarship applications: Yes. Click here to explore available scholarships.
Other information: Potential research students interested in developing a project proposal in this field are invited to contact us to discuss their ideas.