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Found 8 matching student topics

Displaying 1–8 of 8 results

Modelling and managing uncertain Antarctic species networks

Antarctic ecosystems are complex, and data is limited since it is expensive to collect. Species including penguins, seabirds, invertebrates, mosses, and marine species interact in food webs which can be modelled as mathematical networks. These networks can be large, span across terrestrial and marine systems, and are changing in response to environmental changes.These ecological networks can be modelled using differential equation predator prey models like Lotka-Volterra to describe these interactions. However, the relationships between species are not always known, or …

Study level
PhD, Master of Philosophy
Faculty
Faculty of Science
School
School of Mathematical Sciences
Research centre(s)
Centre for Data Science
Centre for the Environment

Bayesian optimisation of radial-inflow turbines

High-density fluids are commonly use in renewable applications, and in particular for low-to-medium renewable power cycles using Organic Rankine cycles (ORC). The optimisation of the turbo-expander, a key component in these cycles, is of critical importance for robust design.This project aims at optimising such turbo-expander for ORC using Bayesian techniques that allow for uncertainties to be accounted for in the optimisation process. This is an important aspect while considering the strong impact of uncertainties on the fluid flow properties and …

Study level
Vacation research experience scheme
Faculty
Faculty of Engineering
School
School of Mechanical, Medical and Process Engineering

Uncertainty quantification in mathematical ecology

In this project, we will explore uncertainty quantification in mathematical ecology via a number of different methods. The project will involve application to ecological dynamics in the Great Barrier Reef.

Study level
Honours, Vacation research experience scheme
Faculty
Faculty of Science
School
School of Mathematical Sciences

Value Relevance of Intangible Assets and Financial Uncertainty

The project involves an empirical analysis. Determining the intrinsic value of stocks is challenging especially in periods of high uncertainty, such as during Covid 19.Both earnings and balance sheet items tend to loose their value relevance, with companies relying heavily on intangibles to adapt and survive. This project examines whether investors shift their attention from tangibles to intangibles during periods of high uncertainty to assess the intrinsic value of stocks. The sample will cover US stocks from 1960 to 2021.

Study level
Vacation research experience scheme
Faculty
Faculty of Business and Law
School
School of Economics and Finance

Modelling and managing uncertain Antarctic species networks

Antarctic ecosystems are complex, and data is limited since it is expensive to collect. Species interact in food webs which can be modelled as mathematical networks. The relationships between species are not always known, or we might know they interact but not how strongly. Noisy (or imperfect) data can be used to model these species interactions to give more certainty about how the ecosystem works as a whole – although the worse the data is, the less information it contributes. …

Study level
Honours, Vacation research experience scheme
Faculty
Faculty of Science
School
School of Mathematical Sciences
Research centre(s)
Centre for Data Science
Centre for the Environment

Optimal conservation management in uncertain Antarctic environments

Species and ecosystems in Antarctica are threatened. Optimal biodiversity conservation is an interdisciplinary field combining mathematical modelling and optimisation with ecology and conservation. We can use mathematics to understand the system, model how management actions might impact it, and then optimise which actions should be used. For example, we can explore where protected areas should be placed, how species should be managed, or how tourist impacts should be reduced. However, the complexities of conservation in Antarctica necessitate the application of …

Study level
PhD, Master of Philosophy, Honours
Faculty
Faculty of Science
School
School of Mathematical Sciences
Research centre(s)
Centre for Data Science
Centre for the Environment

Leadership attributes for uncertain times: evidence from the COVID-19 pandemic

The continuing COVID-19 pandemic has caused an unprecedented social and economic crisis. Firms globally have faced significant disruption to planned operating conditions forcing boards to re-evaluate whether they have the necessary skills and competencies to lead and succeed in these uncertain times.This project aims to explore the impact of COVID-19 on CEO and director turnover and the extent to which the pandemic has impacted desired attributes for firm performance. Secondly, we aim to identify which leadership attributes are associated with …

Study level
Vacation research experience scheme
Faculty
Faculty of Business and Law
School
School of Accountancy

Curtailing corporate tax aggression through uncertain tax benefits

Over the last five years Australia has adopted numerous measures to address aggressive corporate tax practices. A recent addition to these measures (on the 1st of January 2019) is AASB Interpretation 23 - Uncertainty over Income Tax Treatments, which was developed to clarify the treatment of uncertain tax positions. This interpretation requires entities who produce general purpose financial reports (GPFRs) to disclose uncertain tax benefits (UTB) in the notes to their financial statements. Extant literature suggests that UTB disclosures are …

Study level
Honours
Faculty
Faculty of Business and Law
School
School of Accountancy

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