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 114 matching student topics
Displaying 49–60 of 114 results
Joint PhD QUT/Münster: Digital innovation in battery energy storage systems
Queensland is a global leader in residential solar photovoltaic adoption, yet battery energy storage uptake is comparatively low, constraining the full potential of decentralised battery energy storage systems (BESS). Similarly, in Germany, battery storage adoption remains limited and regionally concentrated, despite strong national policy support and technological advances in battery manufacturing.This project investigates the behavioural and systemic barriers to BESS adoption and explores how digital solutions can influence energy decisions. It forms part of a broader international collaboration between QUT, …
- Study level
- PhD
- Faculty
- Faculty of Science
- School
- School of Information Systems
- Research centre(s)
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Energy Transition Centre
Artificial intelligence (AI) to balance fluctuations of intermittent renewable energy sources
Artificial intelligence (AI) can play a significant role in analyzing and predicting energy consumption and production patterns from renewable sources such as solar and wind (Lyu & Liu 2021). This is particularly important due to the key challenge of intermittency, where major renewable sources for electricity, such as solar and wind, are subject to the inconsistencies of the weather (Watson et al., 2022).In this project, we investigate how AI and machine learning algorithms can optimize smart grids and other components …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Information Systems
- Research centre(s)
- Centre for Future Enterprise
Energy Transition Centre
Estimating the evolutionary history of plasmids and viruses
In the case of cellular life - bacteria, archaea and eukaryotes - determining the 'tree of life' is a comparatively well-studied problem.This vertical evolutionary history can be estimated using concatenated gene phylogenies, where single copy marker genes are concatenated into a single multiple sequence alignment which is then used in a phylogenetic tree reconstruction algorithm.Viral genomes and plasmid sequences, meanwhile, are more challenging to fit into a phylogenetic framework.
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Health
- School
- School of Biomedical Sciences
- Research centre(s)
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Centre for Microbiome Research
Parameter identifiability for stochastic processes in biological systems
Stochastic models are used in biology to account for inherent randomness in many cellular processes, for example gene regulatory networks. Noise is often thought to obscure information, however, there is an increasing understanding that some randomness contains vitally important information about underlying biological processes.When applying these models to interpret and learn from data, unknown parameters in the model need to be estimated. However, not all data will contribute to a given estimation task regardless of the data quantity and quality. …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Mathematical Sciences
- Research centre(s)
- Centre for Data Science
Big Data ideas for GLMs
The goal of this project is to develop new Bayesian methods for large-scale data analysis using subsampling techniques. The focus of the project will be on generalised linear models (GLMs), which are commonly used models in statistics and machine learning.One of the main challenges in using Bayesian statistics with big data is the high computational cost associated with processing big datasets. The proposed project aims to address this challenge by developing new subsampling techniques for Piecewise Deterministic Markov Process (PDMP) …
- Study level
- Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Mathematical Sciences
- Research centre(s)
- Centre for Data Science
Synergic identification of prestress force, moving force and interfacial force for corroborative substructural modelling
We are looking for an appropriate PhD candidate working for a recently awarded ARC Discovery Project. The PhD candidate will work on the further improvement of the previously developed Synergic identification of prestress force [1] and moving force applying to continuous supported prestressed concrete bridges using regularisation techniques [2-7] and corroborative substructural modelling.
- Study level
- PhD
- Faculty
- Faculty of Engineering
- School
- School of Civil and Environmental Engineering
Investigating immunosuppression downstream of activated FGFR2 in endometrial cancer
FGFR2 encodes two alternatively spliced isoforms that differ in their ligand binding domain and the combination of tissue specific expression of these isoforms and tissue specific expression of the FGF ligands is the foundation of normal paracrine signalling. Isoform switching from FGFR2b (inclusion of exon 8) to FGFR2c (inclusion of exon 9) occurs in tumorigenesis as it establishes an autocrine loop in epithelial cancer cells. Our lab has reported that FGFR2 activation by mutations or isoform switching is associated with …
- Study level
- PhD
- Faculty
- Faculty of Health
- School
- School of Biomedical Sciences
Novel therapeutic strategies to treat advanced colorectal cancer
Colorectal cancer is a very common disease, with over 15,000 new cases diagnosed in Australia annually. Metastatic colorectal cancer describes advanced disease that has spread beyond the primary site. This is very aggressive and incurable in the vast majority of these patients. To improve outcomes for colorectal cancer, we are using cutting edge genomic and cell biology techniques to understand disease heterogeneity and optimise drug response. We are developing novel therapeutic interventions based on unique molecular signatures and are testing …
- Study level
- Master of Philosophy, Honours
- Faculty
- Faculty of Health
- School
- School of Biomedical Sciences
Developing in vitro 3D models to understand liver disease
Several studies have demonstrated the appropriateness of 3D organoid cultures over the conventional 2D cultures, the advantages of 3D models include replicating the complex attributes of the liver beyond liver-specific metabolism, such as increased cell density, organization, and cell–cell signalling, O2 zonation.In this project we will establish a novel in vitro 3D model to study hepatocyte biology in the context of liver disease. A more comprehensive approach to investigating the intercellular mechanisms of NAFLD will include co-culture of organoids with …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Health
- School
- School of Biomedical Sciences
Patient-derived oncology NAMs for preclinical breast cancer research and therapeutic evaluation
New approach methodologies (NAMs), including advanced 3D cultures and microphysiological systems (MPS), are creating new opportunities to develop more human-relevant approaches for preclinical cancer research. However, translating these technologies from established cell lines to patient-derived tumours remains challenging because of limited tissue availability, tumour heterogeneity and variability in model establishment and performance.Building on established QUT expertise in patient-derived bioengineered breast tumour models, this project will develop robust and reproducible patient-derived oncology NAMs for preclinical breast cancer research and therapeutic evaluation.Breast …
- Study level
- PhD
- Faculty
- Faculty of Health
- School
- School of Biomedical Sciences
- Research centre(s)
- Centre for Biomedical Technologies
Automation-enabled microphysiological systems for multicellular oncology NAMs
New approach methodologies (NAMs), including microphysiological systems (MPS), are transforming preclinical cancer research by providing human-relevant alternatives to conventional preclinical models. However, increasing the biological complexity of these models also creates major challenges in reproducibility, scalability and experimental throughput.Oncology provides a compelling application for addressing these challenges. Tumours are complex tissues in which cancer cells interact dynamically with extracellular matrix, immune cells, vascular cells and other components of the tumour microenvironment. Reproducing these interactions in vitro requires technologies that can …
- Study level
- PhD
- Faculty
- Faculty of Health
- School
- School of Biomedical Sciences
- Research centre(s)
- Centre for Biomedical Technologies
Exploring courage in followers: psychometric instrument analysis and literature review
This research project centers around the validation of a newly developed psychometric instrument designed to measure 'courage in followers' - a timely and underexplored construct in leadership research. The project offers a unique opportunity for a student to work directly on a publishable paper intended for submission to a top-tier leadership journal. This project will suit students interested in organisational behaviour, leadership, and the quantitative side of psychological research.You will be provided with a $2000 stipend to cover the duration …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Business and Law
- School
- School of Management
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