Student topics

This PhD project addresses the significant issue of misleading noise data in the context of residential communities exposed to aircraft noise pollution. Despite efforts by authorities to provide noise exposure forecasts and information based on the Australian Noise Exposure Forecast (ANEF) approach, many communities feel misled by the noise contours presented to them. Experiences from previous major development projects at Australian airports have shown a range of problems with relying solely on the ANEF as a noise information tool as …

Study level

PhD, Master of Philosophy

School

School of Design

Research centre(s)

Design Lab

Join the team to be part of an exciting QUT-lead project into materials for Lithium-ion batteries. The project is part of the Federally supported Future Battery Industries - Cooperative Research Centre, which hosts projects all-over the country that are aiming to boost the industry, create clean energy jobs, and enable a sustainable future.In this role you gain access to QUT's one-of-a-kind in Australia, Advanced Battery Facility. At the facility we build lithium batteries in a range of shapes and sizes. …

Study level

Master of Philosophy, Honours

Faculty

Faculty of Science

School

School of Chemistry and Physics

Research centre(s)

Centre for Materials Science
Centre for Clean Energy Technologies and Practices

Although most burn injuries are completely accidental in nature, they can also occur due to neglect or abuse. Burn clinicians are often required to ascertain if the patient history and the wound are consistent with accidental or non-accidental injury. If the case goes to court, the clinician will prepare a medico-legal report as evidence. We have previously conducted studies examining the depth of burn injury after different durations and temperatures of hot water. This data can be used to predict …

Study level

Master of Philosophy, Honours

Faculty

Faculty of Health

School

School of Biomedical Sciences

Data is recognised a strategic asset for organisations. There is a growing need to manage the voluminous data an organisation is exposed to in order to use it for decision-making.Of particular significance is process data, which consists of information about the execution of processes. Such information is used to uncover behaviour of processes within an organisation. This brings forth the significance of data governance. Data governance is the exercise of control and authority over management of data. Despite its significance, …

Study level

PhD, Master of Philosophy, Honours

Faculty

Faculty of Science

School

School of Information Systems

Corruption is cited as among the greatest challenges faced by government and citizenry the world over and threatens to undermine the very trust that is essential for a functioning democratic society. In order to earn and maintain public trust, governments at all levels must continuously strive to reduce corruption and uphold the highest levels of integrity.Amidst the countless human interactions and electronic transactions that occur within the public service on a daily basis are a complex and ever-changing variety of …

Study level

PhD, Master of Philosophy, Honours

Faculty

Faculty of Science

School

School of Information Systems

Research centre(s)

Centre for Data Science

Like all industries, agriculture is benefiting from the data and computing revolution. Using hand-held scanners, CT scanners, or other technologies, we can acquire data sets that represent real leaves of agricultural crops, e.g. wheat. Using this data, and performing many intermediate steps, we can build virtual leaf surfaces that can be used in computer models to perform simulations of droplet impactions, spreading, evaporation, and other phenomena of interest to the industry.This project concerns the 'many intermediate steps', for which there …

Study level

Honours

Faculty

Faculty of Science

School

School of Mathematical Sciences

Research centre(s)

Centre for Data Science

A 3-year strategic partnership on sports data science between the Centre for Data Science (CDS), the Australian Institute of Sport (AIS) and the Queensland Academy of Sport (QAS) was launched in the past few months. With a drive towards data informed decision making across the high performance sports network nationally, a number of collaborative, interdisciplinary research and scholarship opportunities ranging from VRES, to honours, masters and PhD have developed.

Study level

PhD, Master of Philosophy, Honours

Faculty

Faculty of Science

School

School of Mathematical Sciences

Research centre(s)

Centre for Data Science

The research objective focuses on comparing the top 100 universities (according to the Times Higher Education) from 2010 to 2020. The objective of the project is fourfold. First, to derive appropriate research outputs per university. Second, employ a Network DEA approach to identify (in)efficiencies within the network. Third, to measure productivity change of universities using the Fare-Primont index. Fourth, to determine sources of (in)efficiencies and productivity.This project is both theoretical and applied. The applicant should possess strong mathematical and computational …

Study level

PhD

Faculty

Faculty of Business and Law

School

School of Economics and Finance

Smartphones and wearable technologies provide exciting opportunities for patients and health professionals to transform healthcare.Patients can benefit from photos (“medical selfies”) taken on their smartphone to record a condition that they want to discuss with a health professional. Wearable devices allow patients to semi-automatically collect data about their physical activity, sleep, mood, diet, etc.This data can help patients to better understand a health concern, its underlying causes and the impact of treatments.Clinicians, on the other hand, can benefit from medical …

Study level

PhD, Master of Philosophy, Honours

Faculty

Faculty of Science

School

School of Computer Science

The demand for 3D scene understanding through point clouds is rapidly growing in diverse applications, including augmented and virtual reality, autonomous driving, robotics, and environment monitoring. However, the field faces challenges due to limited data availability and predefined categories. Training deep 3D networks effectively for sparse LiDAR point clouds requires significant amounts of annotated data, which is both time-consuming and expensive. Building on the advancements in 2D models that leverage the power of image and language knowledge, our project aims …

Study level

PhD, Master of Philosophy, Honours

School

School of Electrical Engineering and Robotics

QUT is involved in the science team for a recently Australian Space Agency-funded mission to Schrodinger crater, to deploy a Fleet Space seismometer. QUT is developing workflows to translate the seismic data into detailed subsurface models for site characterisation, off-world construction, and in-situ resource mapping of materials such as ice.

Study level

PhD, Master of Philosophy, Honours

Faculty

Faculty of Science

School

School of Earth and Atmospheric Sciences

Research centre(s)

Centre for Data Science

Metagenomics data is complex, high-volume data and keeps evolving, requiring novel computational method development as the wetlab approaches changes and databases grow. Thus, novel computational methods are required to take advantage of them.There are several potential projects under this topic, including:using deep learning to improve metagenomics assemblydeveloping better tools to analyse the presence of resistance genes in metagenomics datadeveloping approaches for estimating the quality of genomes from novel generation sequencespredicting the function of small sequences using more than just sequence.Interested …

Study level

PhD, Master of Philosophy, Honours

School

School of Biomedical Sciences

Research centre(s)

Centre for Microbiome Research