Student topics

Antarctic and sub-Antarctic terrestrial ecosystems are dominated by mosses, lichens, invertebrates and some vascular plants. Marine vertebrates (penguins, seals, seabirds) also play an important role in driving terrestrial processes. All these species are influenced by many environmental and biotic factors, including interactions between species. Determining the impacts of climatic and environmental change on Antarctic and sub-Antarctic biodiversity requires greater understanding of these interactions.Ecological data on species interactions and the drivers of these interactions are an essential part of Antarctic and …

Study level

PhD

Faculty

Faculty of Science

School

School of Biology and Environmental Science

Research centre(s)

Centre for Data Science
Centre for the Environment

The project aims to the explore concept of empathic machines in the context of driver monitoring systems (DMS) and automated driving. The successful candidate will contribute to advancing the understanding of driver engagement, situation awareness, and risk through leveraging advancements in data science techniques on vehicle sensor, DMS, and other related datasets.To apply for this position, please submit the following documents:a cover letter outlining your research interests, relevant qualifications, and motivation to join the Empathic Machines projecta detailed curriculum vitae …

Study level

PhD

Faculty

Faculty of Engineering

School

School of Civil and Environmental Engineering

Research centre(s)

Centre for Data Science
Centre for Future Mobility/CARRSQ

This student research topic focuses on exploring and developing immersive systems that facilitate interactions between novice and expert users in the context of complex remote data analysis. The goal is to design and prototype innovative solutions that enhance the collaboration, learning, and training aspects of data analysis tasks.The research will involve investigating various immersive technologies and their potential application in bridging the gap between novice and expert users, enabling effective knowledge transfer and skill acquisition.

Study level

PhD, Master of Philosophy, Honours

Faculty

Faculty of Science

School

School of Computer Science

This project seeks to leverage recent advances in machine vision and natural language processing algorithms to support the design and development of knowledge-driven applications that support communication and collaborations with their users.One particular area where this will be investigated is in workplaces for supported employment, that is employment opportunities for people with intellectual disability. One of the questions to address is how machines could respond to what a user shows them in order to assist with decision making in a …

Study level

PhD, Master of Philosophy, Honours

Faculty

Faculty of Science

School

School of Computer Science

Driving growth and employment in the rapidly evolving Indigenous business sector is a key priority of Australia’s national and state governments. An important growth strategy for firms is internationalisation through, for example, exporting, international strategic alliances or even foreign direct investment. Yet we know relatively little about the growth of Indigenous businesses through international business.This project will answer questions including:How do Aboriginal and Torres Strait Islander businesses internationalise?Is their approach to international growth like that of other small and medium …

Study level

PhD, Master of Philosophy

Faculty

Faculty of Business and Law

School

School of Advertising, Marketing and Public Relations

Research centre(s)

Australian Centre for Entrepreneurship Research

How do entrepreneurs grow their new ventures across borders? What role do key individuals or teams of entrepreneurs and their collective experiences, skills, relational capabilities and identities play in new venture success? How do entrepreneurs identify and leverage external enablers to enhance new venture legitimacy and propel rapid internationalisation? Are these external enablers ‘out there’ waiting to be harnessed, or can entrepreneurs shape their external environment through, for example, ‘institutional entrepreneurship’? International Entrepreneurship is an area with many unanswered and …

Study level

PhD, Master of Philosophy

Faculty

Faculty of Business and Law

School

School of Advertising, Marketing and Public Relations

Research centre(s)

Australian Centre for Entrepreneurship Research

I’m interested in supervising research students who have a passion for research, ambition to publish in leading journals, and the commitment needed to excel. My interests within International Business are broad, including the strategies of large multinational enterprises as well as small firms as they internationalise; international entrepreneurship in established firms, by new firms or by entrepreneurial teams; power and identity in MNE-subsidiary relations; and how foreign direct investment can help domestic firms’ productivity and innovation. My preference is for …

Study level

PhD, Master of Philosophy

Faculty

Faculty of Business and Law

School

School of Advertising, Marketing and Public Relations

Research centre(s)

Australian Centre for Entrepreneurship Research

I am interested in supervising students with a high level of commitment and ambition to publish on top academic journals.My interests are around international entrepreneurship (international business and also entrepreneurship), emerging markets, innovation, and digitalisation.Topics that include two or more of these fields are of my interest, and I would be keen to see your proposal and work with you on shaping it to a high standard.

Study level

PhD

Faculty

Faculty of Business and Law

School

School of Management

Research centre(s)

Australian Centre for Entrepreneurship Research

Programming robots to carry out desired tasks is difficult and time-consuming. This PhD project focuses on collaborative and instructional dialogue agents to help human operators program robot tasks.In this collaborative scenario, a human operator converses with an AI agent to explain the steps that are to be performed, using high-level references and abstractions that make sense to the human, as opposed to simple verbal instructions corresponding to rudimentary robot movements. The AI agent must interpret the high-level instructions and translate …

Study level

PhD

School

School of Design

Research centre(s)

Design Lab

Many environmental issues are globally significant problems and countries have to engage and interact with each other to resolve them despite having different domestic priorities. Current challenges around climate, land degradation, biodiversity loss, and plastics are just some of the issues that are influenced by international standards, agreements and institutions.

Study level

PhD, Master of Philosophy

Faculty

Faculty of Business and Law

School

School of Law

While hundreds of robust genetic associations have been found for neuropsychiatric disease (such as schizophrenia, major depression, and anxiety) understanding the exact molecular mechanisms leading to disease onset and progression remains challenging. Inherited (i.e. genetic) risk factors for many neuropsychiatric diseases converge on genes that are co-ordinately expressed (co-expressed) in a disease-relevant tissue (e.g. brain). The study of how genetic risk factors affect co-expressed genes (i.e. gene co-expression analysis) has the potential to uncover new biological processes underlying disease onset. …

Study level

Honours

Faculty

Faculty of Health

School

School of Biomedical Sciences

How can robots best learn to navigate in challenging environments and execute complex tasks, such as tidying up an apartment or assist humans in their everyday domestic chores?Often, hand-written architectures are based on complicated state machines that become intractable to design and maintain with growing task complexity. I am interested in developing learning-based approaches that are effective and efficient and scale better to complicated tasks.Especially learning based on semantic information (such as extracted by the research in semantic SLAM above), …

Study level

PhD

Faculty

Faculty of Engineering

School

School of Electrical Engineering and Robotics