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 495 matching student topics
Displaying 337–348 of 495 results
Place-based giving and philanthropy
Effective models of place-based funding remain conceptually unresolved. Place-based, collective impact initiatives are increasingly recognised for creating long-term systems change, yet the role of philanthropy in supporting, advocating for and catalysing change is underexplored.I am interested in supervising research into conceptual models of philanthropic funding for place-based initiatives, to explain and clarify the elements and characteristics of successful, long-term relationships between philanthropic funders and place-based, community-led initiatives in regional and urban Australian communities.
- Study level
- PhD, Master of Philosophy
- Faculty
- Faculty of Business and Law
- School
- School of Accountancy
- Research centre(s)
-
Australian Centre for Philanthropy and Nonprofit Studies
Scalable Bayesian Inference using Multilevel Monte Carlo
Bayesian inference is a popular statistical framework for estimating the parameters of statistical models based on data. However, Bayesian methods are well known to be computationally intensive. This fact inhibits the scalability of Bayesian analysis for real-world applications involving complex stochastic models. Such models are common in the fields of biology and ecology.Multilevel Monte Carlo (MLMC) methods are a promising class of techniques for dealing with the scalability challenge. These approaches use hierarchies of approximations to optimise the trade-off between …
- Study level
- Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Mathematical Sciences
- Research centre(s)
- Centre for Data Science
Climate vulnerability of nut and pulse food systems in Australia
Arable land, water resources and biodiversity are under pressure from increased human populations and resource needs. On top of that, natural and agri-food systems are rapidly changing due to natural disturbances, with climate change likely to increase the impacts of extreme events like drought and wildfire.With climate change, negative impacts on agriculture are predicted with disruptions to food supply; many ecosystems have already been impacted by increased frequency and severity of extreme fire events; coral reefs will be threatened by …
- Study level
- Honours
- Faculty
- Faculty of Science
- School
- School of Biology and Environmental Science
- Research centre(s)
- Centre for Agriculture and the Bioeconomy
Centre for the Environment
Coarse-grained molecular dynamics modelling in expansive soil
Expansive soil/active soil has wide applications in geotechnical engineering and other engineering disciplines due to its desirable special properties - for example, low permeability and swelling pressure under saturated condition. But these materials are highly susceptible to experiencing huge volume change and even damage due to moisture content reduction. However, the underlying mechanism of this phenomenon is still not clear for geotechnical engineers. Therefore, there is no optimum solution available to solve the problem.In this project, a special modelling approach …
- Study level
- PhD, Master of Philosophy
- Faculty
- Faculty of Engineering
- School
- School of Civil and Environmental Engineering
- Research centre(s)
- Centre for Materials Science
Smoke and mirrors: intercepting the elusive molecular precursors of soot
Soot formation occurs via a complex network of chemical reactions leading from simple gases to macromolecular aggregates. Despite being central to our understanding of extreme environments ranging from engines, to bushfires and interstellar clouds, the critical steps and intermediates in these reactions are poorly described.This project will deploy advanced mass spectrometry and laser-based methods to generate, isolate and interrogate gas phase free radical intermediates and elucidate their role in molecular weight growth processes.Through these chemical insights, advanced computational models will …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Chemistry and Physics
- Research centre(s)
- Centre for Materials Science
Elucidating the gas-phase reactivity and photochemistry of halide anions
Bromine and iodine are suspected to be responsible for most of the halogen-induced ozone loss in the stratosphere but are not currently included in atmospheric models due to a paucity of knowledge of the gas-phase chemistry and photochemistry of their anions and radicals.This project will develop and deploy advanced mass spectrometry and laser spectroscopy techniques to enable precision measurements of the reactions and photo- reactions of gas-phase iodide and bromide anions and their oxides.These state-of-the-art measurements of reaction kinetics and …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Chemistry and Physics
- Research centre(s)
- Centre for Materials Science
Surrogate models for accurate prediction and inference in mathematical biology
High fidelity mathematical models of biological phenomena are often complex and can require long computational runtimes which can make computational inference for parameter estimation intractable. In this project we will overcome this challenge by working with computationally simple low fidelity models and build a simple statistical model of the discrepancy between the high and low fidelity models. This approach provides the best of both worlds: we obtain high accuracy predictions using a computationally cheap model surrogate.
- Study level
- PhD, Master of Philosophy
- Faculty
- Faculty of Science
- School
- School of Mathematical Sciences
- Research centre(s)
- Centre for Data Science
Investigating the rise of super apps: platforms, services, adoption
Imagine you want to go to a rugby game in Brisbane in a few weeks with some friends. You will probably jump across at least a few apps – coordinating plans on WhatsApp, buying tickets from Ticketmaster, booking a ride through Uber, and paying each other back for drinks over Venmo. But what if all that activity happened in one app on your phone? Meet the so-called 'super apps'.Super apps refer to marketplaces that offer a wide range of products …
- Study level
- Master of Philosophy
- Faculty
- Faculty of Business and Law
- School
- School of Advertising, Marketing and Public Relations
- Research centre(s)
-
Centre for Behavioural Economics, Society and Technology
Branching processes, stochastic simulations and travelling waves
Branching processes are stochastic mathematical models used to study a range of biological processes, including tissue growth and disease transmission.This project will implement a simple stochastic branching process to generate simulations of biological growth, and then consider differential equation-based description of the stochastic model.Using computation we will compare the two models, and use phase plane and perturbation analysis to analyze the resulting traveling wave solutions.
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Mathematical Sciences
- Research centre(s)
- Centre for Data Science
Low Cost Catalysts for Biofuels Production
As the world transitions from fossil fuels to biomass based fuels there is a corresponding drive to create new technologies to enable this situation to come to fruition.Biofuels represent one option in terms of mitigating the impacts of global warming.The conversion of biomass to biofuels typically requires a catalyst. Many different materials have been investigated, with zeolites showing considerable promise.However, zeolite catalysts can be expensive and thus there is a challenge to create new catalysts which are low cost.This project …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Engineering
- School
- School of Mechanical, Medical and Process Engineering
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
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
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