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 182 matching student topics
Displaying 169–180 of 182 results
Using automated sampling techniques for determining N2O emissions from grain crop residues
Nitrous oxide emitted from agricultural soils is a major contributor to global greenhouse gas emissions. Nitrous oxide is a potent greenhouse gas with 265-times the global warming potential of carbon dioxide, making reducing emissions a high priority for minimising environmental impacts of agriculture.Crop residues may directly contribute to nitrous oxide (N2O) emissions as they break down, but it is difficult to partition N2O emissions from crop residues versus the background soil. Grain crop residues, including stems, leaves and roots remaining …
- Faculty
- Faculty of Science
- School
- School of Biology and Environmental Science
- Research centre
- Centre for Agriculture and the Bioeconomy
Using acoustic monitoring to measure ecological condition
Livestock grazing is a dominant land use in Australia, with producers stewarding extensive areas across intact native and modified ecosystems. As these landscapes face mounting pressures from climate change, land use change, and biodiversity decline, evidence-based monitoring and adaptive management strategies become critical. This project will evaluate ecological outcomes across diverse land management regimes by integrating field-based BioCondition assessments with remote sensing and acoustic monitoring technologies. Findings will quantify how alternative management practices influence biodiversity and ecosystem function, providing practical …
- Faculty
- Faculty of Science
- School
- School of Biology and Environmental Science
Testing mechanisms of soil carbon persistence in Northern Australia
Soil carbon sequestration is central to global efforts to mitigate climate change, enhance agricultural sustainability, and achieve carbon neutrality. Yet critical distinctions exist between different forms of soil carbon and their climate mitigation potential. For effective long-term carbon sequestration, research must prioritise understanding stable, persistent carbon forms. Current knowledge draws heavily from Northern Hemisphere temperate zones, leaving significant gaps in our understanding of unique ecosystems like Northern Australia. With its ancient nutrient-depleted soils, extreme climate variability, and distinct fire regimes, …
- Faculty
- Faculty of Science
- School
- School of Biology and Environmental Science
Co-benefits of trees on farms: soil carbon
Soils are now in the ‘front line’ of global environmental change. Soils are the largest global pool of actively cycling organic C and N. Maintaining and increasing soil organic matter (SOM) is a prominent strategy for mitigating excess atmospheric CO2 and adapting agriculture to climate change. At the same time the global biodiversity crisis has led to increased scrutiny on supply chains, drawing attention to the ecological footprint of farms and agriculture. Planting or retaining trees in the landscape has the …
- Faculty
- Faculty of Science
- School
- School of Biology and Environmental Science
- Research centre
- Centre for Agriculture and the Bioeconomy
Sign Language AI
Auslan Assist is a multidisciplinary project in the field of sign language technologies. It aims to develop an automated public announcement system that generates real-time messages in Auslan via a digital avatar. The end goal is a two-way translation system that would also allow Auslan users to sign to information screens and receive an automatic response in Auslan.A core part of two-way translation is sign language recognition. This VRES project will allow students to explore one or more aspects of …
- Faculty
- Faculty of Science
- School
- School of Computer 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
Quantum machine learning/AI
Quantum machine learning is the integration of quantum algorithms within machine learning programs with great potential to solve complex problems. For instance, Google’s Sycamore processor (61) performs in 200 seconds a task that would require 10,000 years using a classical computer.
- Faculty
- Faculty of Engineering
- School
- School of Electrical Engineering and Robotics
2D heterostructures for future quantum electronics
The traditional approach to the miniaturisation of electronic devices is coming to a halt. Experts agree that Moore's law prediction of doubling the number of transistors per chip every two years will cease to be fulfilled in 2020, as the heat produced in small structures cannot be cooled down quickly enough. However, by reducing the size of the device, the quantum nature of atoms and solids can become an asset. By exploiting phenomena occurring at these scales, electrons can travel …
- Faculty
- Faculty of Science
- School
- School of Chemistry and Physics
- Research centre
- Centre for Materials Science
Springbrook hydrological and ecohydrological monitoring
You will have an opportunity to contribute to an active environmental monitoring project at Springbrook (funded by the City of Gold Coast and the Queensland Government).
- Faculty
- Faculty of Science
- School
- School of Biology and Environmental Science
AI-driven discovery of polymer nanomedicines
The personalised treatment of disease though nanomedicine will allow for more effective and safer treatments for patients. Polymer theranostics provide for the simultaneous detection of disease, treatment, and monitoring of therapeutic response. Our research group synthesises new polymeric materials and investigates how they can be used in applications such as:potent antivirals to fight future pandemicsthe effect of radiation on materials for improved radiotherapy for cancerresponsive imaging agents that can report on metabolic processes of diseasecharacterizing the interaction of polymeric materials …
- Faculty
- Faculty of Science
- School
- School of Chemistry and Physics
- Research centre
- Centre for Data Science
Game theory for better environmental policy
This topic is focused on understanding how game-theoretic modelling and thinking can enhance our environemntak policies, with a specific interest in conservation policy.
- Faculty
- Faculty of Science
- School
- School of Mathematical Sciences
Contact us
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.