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Student topics

Explore topics that we're looking for students to research, and discover the fields that our students are currently working on.

Within each School or discipline, you can find topics at your study level: PhD, Masters, Honours or the Vacation Research Experience Scheme (VRES).

32 matching student topics

Displaying 1 - 12 of 32 matching student topics

Optimally scheduling management when climate windows are closing

Delays in acting in collapsing ecosystems can be catastrophic. With every passing year, the chances that the ecosystem has progressed past some point of no return increases. Yet the research and development needed to develop a new technology can take a long time. Balance between these two dynamic processes is needed to determine the optimal length and effort for developing new technologies. This project will develop a method for finding the optimal schedule for developing technological readiness, social acceptability, a …

Lead unit
School of Mathematical Sciences
Disciplines
Environmental technologies
Data science
Business process management
Information science
Applied and computational mathematics
Statistics and operations research
Environmental technologies
Sustainable environments
Study levels
PhD
Master of Philosophy
Honours
Vacation research experience scheme

Topics in optimal experimental design

Research in science and technology can be a process of guided learning through experiments.The purpose of experimental design is to make that process as efficient as possible.In this project, you will develop innovative and novel methods in statistics to answer open research questions in, for example, biology, agriculture and medicine.Potential topics include:New computational algorithms for adaptive N-of-1 clinical trials.Experimental design methods for precision agriculture.Preventing the spread of infectious diseases through designed experiments.Understanding tumour growth through new experiments in biology.New experimental …

Lead unit
School of Mathematical Sciences
Disciplines
Data science
Statistics and operations research
Study levels
PhD
Master of Philosophy
Honours
Vacation research experience scheme

Comparison of models for multivariate data analysis

Determining useful models for multivariate data still remains a challenge. There are several classes of models now available, and it is currently unclear as to which class of models tend to provide a better fit to real data in practice.This project will explore several classes of multivariate models, implement them on real data sets and compare the fits.This project would be suitable for extending into an Honours thesis.

Lead unit
School of Mathematical Sciences
Disciplines
Data science
Statistics and operations research

Longitudinal modelling and analysis of elite swimming performance

With elite sports becoming ever more competitive, coaches, athletes and sports scientists are looking to use data to maximise training outcomes for greater competitive performance.For the 2018 Commonwealth Games on the Gold Coast, a series of projects are being offered towards the development of new statistical and machine learning tools in cross-disciplinary collaboration with sports scientists and end users. The projects involve QUT, the ARC Centre of Excellence in Mathematical and Statistical frontiers (ACEMS) and the Queensland Academy of Sport …

Lead unit
School of Mathematical Sciences

Benchmarking elite athletes using multilevel models

With elite sports becoming ever more competitive, coaches, athletes and sports scientists are looking to use data to maximise training outcomes for greater competitive performance.For the 2018 Commonwealth Games on the Gold Coast, a series of projects are being offered towards the development of new statistical and machine learning tools in cross-disciplinary collaboration with sports scientists and end users. The projects involve QUT, the ARC Centre of Excellence in Mathematical and Statistical frontiers (ACEMS) and the Queensland Academy of Sport …

Lead unit
School of Mathematical Sciences

Time series modelling of athlete performance using wearable technologies

With elite sports becoming ever more competitive, coaches, athletes and sports scientists are looking to use data to maximise training outcomes for greater competitive performance.For the 2018 Commonwealth Games on the Gold Coast, a series of projects are being offered towards the development of new statistical and machine learning tools in cross-disciplinary collaboration with sports scientists and end users. The projects involve QUT, the ARC Centre of Excellence in Mathematical and Statistical frontiers (ACEMS) and the Queensland Academy of Sport …

Lead unit
School of Mathematical Sciences

Turning predictions into decisions: innovation to facilitate spatio-temporal decision-making in the agricultural sciences

As agriculture meets the digital age, we are faced with challenging decisions about when to sow, when and how much to fertilise and when to irrigate. With the aid of high performance computing, models that represent complex agricultural processes can be used to simulate a wide range of farming scenarios in space and through time. Coupled with other sources of information (e.g. measured data and expert information) the challenge becomes being able to quantify the uncertainties and interpret the outputs …

Lead unit
School of Mathematical Sciences

New Bayesian computational algorithms for monitoring submerged shoals off the coast of Western Australia

The Australian Institute of Marine Science (AIMS) is tasked with monitoring submerged shoals off the coast of Western Australia.This project will develop new statistical methodology in adaptive Bayesian design to help AIMS monitor more effectively.You will work closely with AIMS and also other members of our ARC Centre of Excellence for Mathematical and Statistical Frontiers (ACEMS).

Lead unit
School of Mathematical Sciences
Study levels
PhD
Master of Philosophy
Honours

Optimal guerilla conservation

Guerilla conservation is the use of illegal activities to positively or negatively alter a region’s biodiversity. Famous examples include the “direct action” activities of Sea Shepherd (e.g., damaging whaling vessels), or the practice of “tree spiking” that was common in the forest wars in the temperate rainforests of Tasmania and the Pacific Northwest in the USA.In recent years, guerilla conservation actors have attempted to achieve their aims by releasing new species into ecosystems. Examples include the release of foxes into …

Lead unit
School of Mathematical Sciences
Disciplines
Genetics and biotechnology
Environmental technologies
Applied and computational mathematics
Statistics and operations research
Study levels
Master of Philosophy
Honours

How many species have been saved by national parks?

National parks are the cornerstone of modern conservation efforts. They now cover more than 10% of the Earth’s land surface, and are found on every continent (and sea) on the planet.We can prove that these national parks stop human destruction of habitat, and we can prove that they benefit the lives and livelihoods of people who visit and surround them. However, we cannot yet prove that they have stopped the extinction of a single species. This is not because we …

Lead unit
School of Mathematical Sciences
Disciplines
Genetics and biotechnology
Environmental technologies
Data science
Applied and computational mathematics
Statistics and operations research
Study levels
PhD
Master of Philosophy
Honours

How to measure a halo

Conservation fences are a new and challenging method of protecting Australian threatened mammal species, as evidenced in a recent article in The Conversation.At present, fences protect populations of native species behind their walls. In future, we want to use these fences as source populations to restock the surrounding landscape. Extra animals that can't fit into the small space offered by the fences would be released into the surrounding landscape. These released animals would create a "halo-effect", where the benefit of …

Lead unit
School of Mathematical Sciences
Disciplines
Genetics and biotechnology
Environmental technologies
Applied and computational mathematics
Statistics and operations research
Study levels
Honours
Vacation research experience scheme

Optimal management of revolving funds in biodiversity conservation

In Australia, private biodiversity conservation organisations use revolving-fund programs to achieve conservation goals. Using a fixed amount of capital, land is purchased, protected via conservation covenants, and then re-sold for a profit. The revolving-fund managers then move on to a new property.To achieve long-term success, revolving-fund managers need to ensure that the properties they purchase:contain important biodiversity valuescan be resold at close to or greater than the purchase price (adjusted for inflation), andcan be resold in an appropriately short amount …

Lead unit
School of Mathematical Sciences
Disciplines
Genetics and biotechnology
Environmental technologies
Statistics and operations research
Study levels
Master of Philosophy
Honours
Vacation research experience scheme

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