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.

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Found 468 matching student topics

Displaying 445–456 of 468 results

Advanced numerical modeling to study dust deposition mechanisms on photovoltaic panels for the agrivoltaic industry.

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

Tailoring novel separator for high performance aqueous zinc metal batteries

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

Improving language outcomes in people with epilepsy

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

Characterizing effects of radiation therapy in 3D bioengineered cancer models

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

Designing distanced intergenerational interaction with tangible technology

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

Development of a machine learning algorithm for high throughput cell response data in drug therapy

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

Leveraging Big Data and AI/ML for Smart Transport Solutions

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

Evaluating Navicare to improve mental health service access in regional Australia

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

Infrared signatures and spectral decomposition: Identifying and analysing accreting supermassive black holes

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

Tailoring 2D materials via interface engineering

2D materials are crystalline materials with only a single layer thickness. The best known 2D materials is graphene, but it also encompasses a large family of materials , such as transition metal dichalcogenides (TMDCs).2D materials are set for breakthroughs in fundamental research and transformative technologies. They have few surface dangling bonds and unique atomic-level uniformity which make them very appealing for developing optical, electronic and energy applications.These materials also bring a new degree of freedom to combine highly distinct materials, …

Study level
PhD, Master of Philosophy, Honours
Faculty
Faculty of Science
School
School of Chemistry and Physics
Research centre(s)
Centre for Materials Science

Understanding and manipulating bacterial motility for infection control

The recent COVID 19 pandemic reminds us of how difficult it is to control infectious diseases. Pathogenic microorganisms are known to be extremely 'smart' and are able to quickly develop mechanisms against most of our strategies aimed at eradicating them. Our group is focused on bacterial infections to implants and medical devices. We are in the pursuit to outsmart the bacteria to develop the next generation medical device and implant materials.Bacterial motility/movement and group-coordination on surfaces and in 3-dimensional environment …

Study level
PhD
Faculty
Faculty of Engineering
School
School of Mechanical, Medical and Process Engineering
Research centre(s)
Centre for Biomedical Technologies

3D Bioprinting in Cancer Research

Interested in 3D Bioprinting? Care about improving our understanding of cancer pathogenesis? Then this opportunity is for you!   The Queensland University of Technology (QUT) and industry partner Gelomics Pty Ltd are seeking competitive candidates to apply for a PhD scholarship (AU $34,013 per annum) in 3D Bioprinting & Cancer Research. 

Study level
PhD
Faculty
Faculty of Engineering
School
School of Mechanical, Medical and Process Engineering

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