Student topics

This project aims to determine the relationship of childhood social-emotional competencies (particularly those developed by school-based social-emotional learning programs) with adolescent health, education, and justice outcomes. The project uses data from the NSW Child Development Study, a longitudinal study following the development of 91,597 children in NSW from birth.

Study level

PhD, Master of Philosophy

Faculty

Faculty of Health

School

School of Psychology and Counselling

The Statistical and Genomic Epidemiology Laboratory (SGEL) studies the role of genetics in the development and mechanism of human traits, with particular emphasis on migraine, and the specific goal of identifying genetic risk factors and detecting common genetic links with other disorders, in particular depression, endometriosis, and epilepsy.

Study level

PhD, Master of Philosophy

Faculty

Faculty of Health

School

School of Biomedical Sciences

Research centre(s)

Centre for Genomics and Personalised Health

Outliers are anomalous observations in a data set that are "outside the norm" of what would be expected. Identifying outliers is an important part of exploratory data analysis and data analysis in general. It is often a challenging problem and calls for advanced methods and approaches, including machine learning-based tools. As methods become more and more complex, their explainability becomes more difficult and more important. This research project will look at all aspects of explainability and explore new approaches and …

Study level

PhD, Master of Philosophy, Honours

Faculty

Faculty of Science

School

School of Mathematical Sciences

Research centre(s)

Centre for Data Science

Machine learning cluster methods are common classification methods, but methods for assessing performance are limited as are methods for explaining how they work.  Exploring methods for both assessing and explaining performance are the subject of this research with application to real-world contexts with the Australian Bureau of Statistics.

Study level

PhD, Master of Philosophy, Honours

Faculty

Faculty of Science

School

School of Mathematical Sciences

Research centre(s)

Centre for Data Science

The geriatric population in Australia (4.2 million 2020, ABS), is growing steadily with numbers expected to double in the coming years. Incidences of spinal disorders requiring surgical treatment are therefore predicted to increase, incurring an estimated lifetime cost of AUD 3.7 billion per case (The Treasury). Robotics, an increasingly important component of modern medicine, is well suited to address the minimally invasive surgical needs of treating the spine.This project proposes the use of a soft-robotic manipulator to carry out spinal …

Study level

PhD

Faculty

Faculty of Engineering

School

School of Electrical Engineering and Robotics

Research centre(s)

Centre for Robotics

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

Chemotherapy-induced peripheral neuropathy (CIPN) is highly prevalent and clinically problematic, occurring in up to 60–80% of people receiving chemotherapy. Despite the high prevalence and significant patient and healthcare burden of CIPN, treatment options are limited.This project will explore the association between medication and dietary supplement use and symptom severity of CIPN to identify factors that might worsen or improve CIPN symptoms.

Study level

Honours

Faculty

Faculty of Health

School

School of Nursing

Research centre(s)

Centre for Healthcare Transformation
Cancer and Palliative Care Outcomes Centre

The Australian federal government has committed to achieving net-zero carbon emissions by 2050 to address and reverse the effects of climate change and transition to a circular economy. Achieving net-zero will require a shift in how we use, share and dispose of products, and our relationship to our local communities and planet.In other words, this goal will require an extraordinary shift in the way we ordinarily live. As informal practices of circularity are already happening across Australian neighbourhoods, they have …

Study level

PhD

Faculty

Faculty of Creative Industries, Education and Social Justice

School

School of Design

People with chronic illnesses face numerous challenges when it comes to caring for their health at home. The daily management of symptoms, medication adherence, and self-care routines can be physically and mentally demanding, requiring significant effort and discipline. Additionally, limited access to direct medical supervision, medical equipment, resources, and support may lead to difficulties in monitoring symptoms and seeking timely medical attention, further adding to the burden of self-care.From a human-centered design perspective, technology enhances the home healthcare experience through …

Study level

PhD

Faculty

Faculty of Creative Industries, Education and Social Justice

School

School of Design

Research centre(s)

Design Lab

Design relies on prototyping methods to help envisage future design concepts and elicit feedback from potential users. A key challenge the design of human-robot interaction (HRI) with collaborative robots is the current lack of prototyping tools, techniques, and materials. Without good prototyping tools, it is difficult to move beyond existing solutions and develop new ways of interacting with robots that make them more accessible and easier for people to use.This project will develop a robot collaboration prototyping toolkit that combines …

Study level

PhD

Faculty

Faculty of Creative Industries, Education and Social Justice

School

School of Design

Research centre(s)

Design Lab

With growing significance of data there is a need to harness the potential of that data for improved business operations. Historical data is often to provide a descriptive overview of how business processes have performed in the past. However, there is a need to be proactive and take appropriate actions to ensure that business processes perform in an optimal manner. Prescriptive analytics is a process that analyzes data and provides instant recommendations on how to optimize business practices. Prescriptive analytics …

Study level

PhD, Master of Philosophy, Honours

Faculty

Faculty of Science

School

School of Information Systems

Sub-Antarctic islands have unique ecosystems and landscapes under increasingly pressure from climate change. In many cases this is compounded by the introduction of invasive species since their discovery by humans in the 1800s.Understanding ecosystem and environmental responses to climate change and separating them from human-induced causes of change is essential for their future protection. To do this requires quantifying long-term, natural rates and variability of change, establishing the ‘baseline’ status of ecosystems and the environment prior to human arrival, and …

Study level

PhD

Faculty

Faculty of Science

School

School of Biology and Environmental Science

Research centre(s)

Centre for the Environment