Student topics

Join a world-leading research team examining how recommender systems are shaping personalised and shared experiences of algorithmic culture in Australia. The project is focused on TikTok and engages with both professional TikTok creators and users using innovative computational and traditional research approaches.The empirical work is structured into three streams:In the Platform Stream we observe the type of content TikTok recommends on the least-personalised version of the platform, to create a close-to-generic baseline of the Australian experience of algorithmic culture on …

Study level

PhD

School

School of Communication

Research centre(s)

Digital Media Research Centre

In process mining, we perform computational analyses of sequential data in order to help organisations improve, in settings from ride-sharing platforms to government departments. In social sequence analysis, we perform computational analysis on sequential data to understand small or large structures in society, such as the progress of careers of 18th century German musicians, or the progress of nations through different stages of economic development.In both process mining and social sequence analysis, calculation of "alignments" for is a key technique …

Study level

Honours

School

School of Information Systems

The increase in global energy demand necessitates further advancement in photovoltaic (PV) systems. Advancements in PVs could potentially play a role to help meet the Paris Agreement of limiting global temperature increase to below 2 degrees Celsius. In conjunction with the rising demand for clean energy production, the global agricultural industry needs to keep pace with rising food demand which is expected to increase by 50% by 2050 to feed over a projected 10 billion people. The scarcity of fertile …

Study level

PhD, Honours

School

School of Mechanical, Medical and Process Engineering

Developing sustainable and clean energy sources (e.g., solar, wind, and tide energy) is essential to achieve the goal of carbon neutrality. Due to the discontinuous and inconsistent nature of common clean energy sources, high-performance energy storage technologies are a critical part of achieving this target. Aqueous zinc metal batteries with inherent safety, low cost, and competitive performance are regarded as one of the promising candidates for grid-scale energy storage. However, zinc metal anodes with irreversible problems of dendrite growth, hydrogen …

Study level

PhD, Master of Philosophy, Honours

School

School of Chemistry and Physics

Research centre(s)

Centre for Materials Science

Epilepsy is a serious and debilitating condition which is grossly under-researched despite the devastating impact it can have. Damage to the vast language processing network of the brain during surgical resection can cause aphasia, a devastating communication disability. This project aims to determine reliable pre-surgical mapping and outcome predictors in epilepsy resection: To 1) develop a reliable and comprehensive battery to map the language network in pre-surgical epilepsy patients with different foci, and 2) assess how the reorganisation of the …

Study level

PhD, Master of Philosophy

School

School of Clinical Sciences

Research centre(s)

Centre for Biomedical Technologies

Radiation therapy (RT) is one of the most commonly used modalities in cancer treatment, usually delivered in combination with surgical intervention, chemotherapy, and immunotherapy.However, clinical outcomes show that almost 20% of patients fail to achieve targeted outcomes because of inherent resistance to radiation. This necessitates in-depth understanding of radiation resistance mechanisms using relevant preclinical models of RT. Previous in vitro studies have predominantly used two-dimensional (2D) cell culture models that do not recapitulate the three-dimensional (3D) complexity of native tissues.

Study level

Honours

School

School of Mechanical, Medical and Process Engineering

Research centre(s)

Centre for Biomedical Technologies

This project aims to address the urgent problem of isolation, dislocation of families by distance and lack of 'intergenerational closeness' by developing ways to build stronger bonds between geographically distributed families using tangible, embodied and embedded interfaces (TEIs). TEIs combine physical artefacts and digital information, allowing interactions across a variety of spaces, and in combination with other activities and experiences.

Study level

PhD

School

School of Design

Research centre(s)

Design Lab

High-throughput screening assays are essential for accelerating drug discovery, but current assays often rely on endpoint measurements that do not capture the dynamic response of cells to drug treatment. Machine learning algorithms (MLAs) have the potential to enable real-time, high-throughput monitoring of cell response to drug treatment by analyzing complex datasets generated by multiplexed live-cell assays. This research project aims to develop an MLA for enabling high throughput cell response data in drug treatment. The project will involve three main …

Study level

Honours

School

School of Computer Science

Research centre(s)

Centre for Biomedical Technologies
Centre for Biomedical Technologies

This PhD position aims to harness the potential of big traffic and mobility data alongside cutting-edge AI/ML algorithms to pioneer innovative solutions for optimizing smart motorways and/or arterial traffic flow. By leveraging these technologies, the project endeavours to develop and test smart algorithms, with the goal of significantly enhancing the efficiency and safety of road networks.Send via email to Prof. Ashish Bhaskar (ashish.bhaskar@qut.edu.au):a brief statement detailing your suitability for the positiona detailed curriculum vitae, including a list of publications, if …

Study level

PhD

School

School of Civil and Environmental Engineering

Research centre(s)

Centre for Data Science

Brand manufacturers continue to be concerned with consumers' moves toward cheaper, private label grocery products, such as $2 milk. In Australia, and globally, supermarket retailers continue to increase their proportion of private label products. Australia's largest food retailer, Woolworths, in November 2011 reported to shareholders their plans to double the proportion of private label, house brand products to 35% of their range.The purpose of this research would be to identify and explore the extent of ethical and socially responsible (ESR) …

Study level

PhD, Master of Philosophy, Honours

School

Please select a school

Improved access to appropriate and timely mental health care for people in outer regional and remote areas is needed in Australia where people are disproportionately affected by severe mental health conditions. Navicare is a model of care co-designed and piloted with communities and service providers and implemented in 2021 to address this issue. In 2022 national funding from National Health and Medical Research Council was obtained to evaluate the implementation of Navicare in three new communities in Central Queensland in …

Study level

Honours

School

School of Public Health and Social Work

Research centre(s)

Centre for Healthcare Transformation
Australian Centre for Health Services Innovation

This project aims to explore the identification and properties of accreting supermassive black holes, commonly known as active galactic nuclei (AGN), by cross-matching the FourStar Galaxy Evolution Survey (ZFOURGE) with the Wide-field Infrared Survey Explorer (WISE) data. Using WISE infrared colors to pinpoint AGNs and comparing these findings with results from the spectral energy distribution (SED) decomposition on ZFOURGE data, you will enhance AGN identification techniques and deepen our understanding of their physical characteristics. This comparative approach will improve our …

Study level

Vacation research experience scheme

School

School of Chemistry and Physics