The Vacation Research Experience Scheme (VRES) provides eligible students with the opportunity to participate in a research project. If you're interested in research and thinking of pursuing a research degree the scheme is an opportunity to see if research is right for you. Further information about the scheme is available on HiQ.
QUT offers a diverse range of student topics for VRES. Search to find a topic that interests you.
Found 208 matching student topics
Displaying 133–144 of 208 results
Providing students and teachers with ‘Real Utopias’: Case studies in local sustainable business transitions through a three-phase project interlinking theory with real-world industry impact.
This research addresses the gap to contribute scholarly insights with a special focus on the integration of sustainable business models as FBL Faculty resources and into academic curricula (Gümüsay and Reinecke, 2021). This project aligns with the strategic priorities outlined in the faculty’s Futures Strategy 2025-2027, which emphasises 'responsible leadership, transformative research, and future-focused education that empowers our communities to create a positive impact. A research grant for funding of this program through the SEED SToL Grant scheme is being sought.
- Faculty
- Faculty of Business and Law
- School
- School of Economics and Finance
Simulating Frost Events to Assess Cold Tolerance in Model Crops
This project will focus on establishing a reliable frost simulation protocol using controlled growth cabinet conditions, with the ultimate goal of enabling future studies into cold tolerance in grain crops. The initial phase will involve testing and refining cold shock parameters, such as duration, temperature drop, and recovery period, to simulate a realistic frost event. Using Arabidopsis thaliana and five ecotypes of Nicotiana benthamiana, the research will assess which model species and ecotypes exhibit the most consistent and informative phenotypic …
- Faculty
- Faculty of Science
- School
- School of Biology and Environmental Science
- Research centre
- Centre for Agriculture and the Bioeconomy
Assessment of non-linear dimension reduction methods for calculating a SEIFA-like index
The 2021 Census provides information on a range of social and economic characteristics of Australia’s population. People using Census data are often interested in a summary measure of Census data, rather than individual characteristics. The Socio-Economic Indexes For Areas (SEIFA) combine data on income, education, employment, occupation, housing and family structure to summarise the socio-economic characteristics of an area. This indicates how advantaged or disadvantaged the area is compared to other areas. One such index is the Index of Relative …
- Faculty
- Faculty of Science
- School
- School of Mathematical Sciences
Creating a toolkit to build empathy for designers.
Despite empathy being included as a phase in “design thinking” processes, existing empathy tools for designers are simple and easy to use but can easily be completed based on assumptions rather than knowledge about a person. For example, empathy mapping does not address the depth – or time - required to develop genuine, felt empathy and focuses on filling in boxes for a specific user or group during a project rather than developing an empathetic mindset in design students and …
- Faculty
- Faculty of Creative Industries, Education and Social Justice
- School
- School of Design
- Research centre
- 945969
Understanding and Combatting 'Dark Political Communication'
Students will be directly affiliated with the Australian ResearchCouncil Discovery Project “Understanding and Combatting‘Dark Political Communication’” (DP240103362). The project, ledby QUT researchers, and including a team based at DeakinUniversity in Melbourne, aims to better understand the rapidlyevolving,and increasingly sophisticated, tactics deployed bypolitical actors to manipulate public attention and opinion.For this project, students will focus on coding and analysing datafrom a series of sources, including interviews, mainstreamnewspapers, YouTube, TikTok and Twitter/X. This work will assistthe research team in understanding specific strategiesemployed …
- Faculty
- Faculty of Creative Industries, Education and Social Justice
- School
- School of Communication
- Research centre
- Digital Media Research Centre
Breathe Easy – automated robotic deployment of endotracheal tubes
An endotracheal cuff tube is a flexible plastic tube inserted into the trachea (windpipe) to establish and maintain an open airway, typically through the mouth or nose. It is used to deliver oxygen and anesthetic gases during surgery, or to support breathing for patients with various medical conditions like lung disease or airway obstruction. This is a critical device, very widely used in the ICU and its quick insertion can save millions of lives.This project aims to automate the process …
- Faculty
- Faculty of Engineering
- School
- School of Electrical Engineering and Robotics
- Research centre
- Centre for Robotics
Improving forecasted impacts of climate change: Model selection for mathematical models of Antarctic moss photosynthesis
Several mathematical models exist for the dependence of biological rates on temperature. This project seeks to use model selection methods to identify the "best" model for photosynthesis rates of Antarctic mosses. Data is already collected for this project from collaborators. This project involves coding up models and model selection methods in MATLAB, and presenting recommendations for what is the "best" model, as this will help to ensure predictions of these models are as trustworthy as possible in the face of …
- Faculty
- Faculty of Science
- School
- School of Mathematical Sciences
- Research centre
- Centre for Data Science
Mathematical modelling of carbon capture in absorption columns
The capture of Carbon Dioxide (CO2) produced in industrial processes is a vital part of Climate Change reduction. Industrial carbon capture methods involve absorption columns, which contains a counterflow of Carbon Dioxide-rich gas and solvent (such as Monoethanolamine or MEA), which absorbs the CO2. As the absorption of CO2 is exothermic, and reaction rates are dependent on temperature, the control of the temperature profile in the column is of high importance.This project will involve the development and solution of either …
- Faculty
- Faculty of Science
- School
- School of Mathematical Sciences
Exploring differences in graduate versus experienced engineers’ work activities: Developing insights to inform undergraduate engineering curriculum design
The BeLongEng Project (https://www.belongeng.org/) is tracking a large group of engineers via a longitudinal survey to understand their work and environments, and how these change with time. The survey includes questions around demographics, psychometrics, and work activities. The project aims to gather evidence that can inform more responsive and productive university curriculum and workplace ecosystems. The survey will have completed three waves by the commencement of the project.This project will consider a subset of the available data to address the …
- Faculty
- Faculty of Engineering
- School
- School of Mechanical, Medical and Process Engineering
- Research centre
- Centre for Data Science
Sport Artificial Intelligence (AI)
Videos of sport activities are widely available at large scales. AI and its sub-fields, especially computer vision and machine learning, have a great potential to analyse, understand and extract useful information from these videos.This project aims at using AI and its subfields in computer vision and machine learning to develop techniques for analysing sport videos to extract intelligence for players and coaches.
- Faculty
- Faculty of Engineering
- School
- School of Electrical Engineering and Robotics
Physics-informed machine learning (PINN)
Recent advances in computer vision have demonstrated superhuman performance on a variety of visual tasks including image classification, object detection, human pose estimation and human analysis. However, current approaches for achieving these results center around models that purely learn from large-scale datasets with highly complex neural network architectures. Despite the impressive performance, pure data-driven models usually lack robustness, interpretability, and adherence to physical constraints or commonsense reasoning.As in the real world, the visual world of computer vision is governed by …
- Faculty
- Faculty of Engineering
- School
- School of Electrical Engineering and Robotics
Drone and Satellite Artificial Intelligence (AI)
Satellite and drone/UAV data has a great potential to provide large-scale analytics for many domain applications. However, the wide range of data of diverse nature (e.g., optical vs. SAR, high-resolution vs. wide-coverage, mono- vs. hyper-spectral, 2-D vs. 3-D) also poses significant challenges for analytics.Deep learning holds great promise to deal with these tasks. While the number of research in this area is increasing, there still exists challenges such as co-learning of multimodal data, limited data annotation, and uncertainty in the …
- Faculty
- Faculty of Engineering
- School
- School of Electrical Engineering and Robotics
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If you have questions about the Vacation Research Experience Scheme (VRES), the application process, finding a topic or anything else, get in touch with us today.