Student topics

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

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

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

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

The interaction between deformation, fluid flow, chemical reactions, and heat flow in rocks constitutes a research frontier in the Earth Sciences. In addition to fundamental academic interest in this subject, there are many applied industrial problems, which require a sound understanding of this coupling. Examples include: the long-term sequestration of carbon dioxide in rocks, the energy-efficient processing of future-mineral resources, the design of unconventional geothermal-energy operations, and the prediction of earthquakes and volcanic eruptions.The advisory team pioneered new methods for …

Study level

PhD, Master of Philosophy

Faculty

Faculty of Science

School

School of Earth and Atmospheric Sciences

Research centre(s)

Centre for Data Science

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

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 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

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

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

There is increasing concern on the effects of global warming and how it is increasing the frequency and severity of disturbance events on the Great Barrier Reef (GBR), an enduring living structure on our planet. For example, the intensity and frequency of tropical cyclones is likely to increase and this will also reduce the time available for coral reefs to recover.Moreover, there are other factors that contribute to the vulnerability of coral to mechanical breakage, such as crown of thorns …

Study level

Master of Philosophy

Faculty

Faculty of Science

School

School of Earth and Atmospheric Sciences

In recent years, with the rise in climate change impact, urban heat has become a major issue for many cities to tackle consequently. Extreme heat events are becoming more frequent and intense due to climate change, which has directly caused a substantial increase in heat-related morbidity and mortality. This indispensably puts an extra burden on medical systems and national finance. Meanwhile, the urban heat island effect has been exaggerating the consequences caused by the increased extreme heat in metropolitan areas. …

Study level

PhD, Master of Philosophy, Honours

Faculty

Faculty of Engineering

School

School of Architecture and Built Environment