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 13 matching student topics
Displaying 1–12 of 13 results
Springbrook groundwater monitoring and modelling
In partnership with the City of Gold Coast, QUT has set up water monitoring networks in the Gold Coast Hinterland to improve assessment of water and ecological resources. You will have an opportunity to carry out research that leads to improved environmental management.
- Study level
- PhD, Master of Philosophy, Honours, Vacation research experience scheme
- Faculty
- Faculty of Science
- School
- School of Biology and Environmental Science
Urban Ecoacoustic Monitoring using a Raspberry Pi based Sensor
This project will investigate a device for recording and analysing environmental sounds in an urban setting. The goal is to detect particular vocal species and to report on them through an engaging interface.
- Study level
- Vacation research experience scheme
- Faculty
- Faculty of Science
- School
- School of Computer Science
- Research centre(s)
-
Centre for the Environment
Investigating the application of sustainable AI practices in construction
The construction industry plays a vital role in the global economy and there is a growing interest in utilising artificial intelligence (AI) to improve its productivity and efficiency. Despite the industry's significant contribution to the economy, it has faced challenges such as large cost overruns, extended schedules, and quality concerns. Nevertheless, AI is making significant strides to remove these issues by revolutionising various aspects of the construction industry. This is evident from enhancing project planning and design to improving construction …
- Study level
- PhD, Master of Philosophy, Honours, Vacation research experience scheme
- Faculty
- Faculty of Engineering
- School
- School of Architecture and Built Environment
Understanding human behaviour during automated driving
We are seeking a highly motivated and talented Vision Science and Human Factors PhD Researcher to join an interdisciplinary research project, conducted in collaboration with Queensland University of Technology (QUT) and industry partner Seeing Machines—world leader in human-machine interaction and an industry leader in artificial intelligence (AI), that enable machines to see, understand and assist the people who are using them.A PhD scholarship is available for this project.Learn more about the scholarshipOur program offers:World-class research environment: immerse yourself in a …
- Study level
- PhD
- Faculty
- Faculty of Health
- School
- School of Clinical Sciences
- Research centre(s)
-
Centre for Vision and Eye Research
Mathematically optimising value of information for biodiversity management
When planning environmental management, data are only valuable if they lead to improved outcomes. As new monitoring technologies and approaches are developed, it is critical that they are used optimally to focus on the most important information gaps.Monitoring technologies should only be adopted if they can deliver improved management utility, and new data should be rapidly gathered in locations where early information could offer warning signals of future ecosystem change. Mathematical and statistical approaches to assessing the value of new …
- Study level
- Vacation research experience scheme
- Faculty
- Faculty of Science
- School
- School of Mathematical Sciences
- Research centre(s)
- Centre for Data Science
Centre for the Environment
Acoustic monitoring of Powerful Owls – how good is the species distribution model?
- Study level
- Master of Philosophy, Honours
- Faculty
- Faculty of Business and Law
- School
- School of Accountancy
Real-time monitoring and controling of next-generation food processing system
Drying is one of the major processes in the food industry and is a dominant food preservation method. However, current food drying systems are highly energy-intensive lengthy processes and result in significant food quality deterioration. Fruit and vegetables (FV) have heterogeneous structure with hygroscopic characteristics, which undergo significant modification during drying due to simultaneous heat, mass and momentum transfer. On the other hand, deformation of food material significantly affect the heat and mass transfer phenomena. Therefore, proper prediction of deformation …
- Study level
- Vacation research experience scheme
- Faculty
- Faculty of Engineering
- School
- School of Mechanical, Medical and Process Engineering
- Research centre(s)
- Centre for Agriculture and the Bioeconomy
Advancing monitoring of diverse grass pollen with computer vision
We're seeking a motivated student to join the multidisciplinary project that brings together computer vision and deep learning field with pollen aerobiology. This is a fully funded PhD program for a three-year period starting in 2024. It's part of the project funded by the Australian Research Council Discovery Program—Digitally-Integrated Smart Sensing of Diverse Airborne Grass Pollen Sources. The successful candidate will be primarily based in the Allergy Research Group at QUT's Kelvin Grove campus.Grass pollen is the main outdoor allergen …
- Study level
- PhD
- School
- School of Biomedical Sciences
- Research centre(s)
- Centre for Robotics
Centre for Immunology and Infection Control
Indoor sensors to measure and visualise environmental data
We have an ongoing project that investigates how people change their work environment to suit their comfort needs. We have existing electronic devices that we want to optimise for better correlation and visualisation of the indoor climate measurements (lighting, thermal, air quality, occupancy). This would contribute to devices that are better integrated and more responsive to the demands of occupants.
- Study level
- Vacation research experience scheme
- Faculty
- Faculty of Engineering
- School
- School of Electrical Engineering and Robotics
Semantic SLAM for robotic scene understanding, geometric-semantic representations for infrastructure monitoring and maintenance
Making a robot understand what it sees is one of the most fascinating goals in our current research. To this end, we develop novel methods for Semantic Mapping and Semantic SLAM by combining object detection with simultaneous localisation and mapping (SLAM) techniques.We work on novel approaches to SLAM that create semantically meaningful maps by combining geometric and semantic information. Such semantically enriched maps will help robots understand our complex world and will ultimately increase the range and sophistication of interactions …
- Study level
- PhD
- Faculty
- Faculty of Engineering
- School
- School of Electrical Engineering and Robotics
Advancing Water Quality Monitoring in Queensland through Data Science
Organisations throughout Queensland are actively involved in the real-time monitoring of water quality parameters in rivers that contribute to the health of the Great Barrier Reef. This crucial assessment is conducted using in-situ sensors and grab samples to measure key parameters such as nitrate and turbidity. However, it is important to note that while sensor data is collected at high frequencies, they are often affected by anomalies leading to potential errors. Consequently, physical visits to monitoring sites are required to …
- Study level
- Vacation research experience scheme
- Faculty
- Faculty of Science
- School
- School of Mathematical Sciences
- Research centre(s)
- Centre for Data Science
Natural disaster (landslide, earthquake) mitigation using remote sensing, geophysics, and site monitoring
Extreme weather events can exacerbate slope and dam stability issues. Risk mitigation, stabilisation works, and engineered solutions to slope or dam failure require detailed site and subsurface characterisation – generally undertaken after a failure, but often resulting in unacceptable delays to remediation, impacting communities, transport, and water resources.This project will develop pre-emptive risk mitigation measures for at-risk sites, utilising remote sensing, geophysical, and monitoring approaches.
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Earth and Atmospheric Sciences
Contact us
If you have questions about the best options for you, the application process, your research topic, finding a supervisor or anything else, get in touch with us today.