Scholarship details
Study levels
Research and PhD
Student type
Future students
Study area
Health and community
Eligibility criteria
Academic performance
Citizenship
Australian and Australian or New Zealand
What you'll receive
- You'll receive a stipend of $33,637 per annum for a maximum duration of 3.5 years while undertaking a QUT PhD. The duration includes an extension of up to six months if approved for your candidature. This is the full-time, tax exempt rate which will index annually.
- You will receive a tuition fee offset/sponsorship, covering the cost of your tuition fees for the first four full-time equivalent years of your doctoral studies.
- As the scholarship recipient, you will have the opportunity to work with a team of leading researchers, to undertake your own innovative research in and across the field.
Eligibility
- You need to meet the entry requirements for a QUT Doctor of Philosophy, including any English language requirements.
- Enrol as a full-time, internal student (unless approval for part-time and/or external study is obtained).
- Road safety is an interdisciplinary area of research so a range of skills and experience will be considered, including:
- a background in public health, psychology, criminology, statistics, or data science
- experience in managing and analysing large relational datasets in R, SPSS, Stata or similar software
- strong quantitative skills
- excellent communication skills, both written and verbal, for presenting research findings and collaborating with interdisciplinary teams
- publication record (or potential) in peer-reviewed journals.
How to apply
Apply for this scholarship at the same time you apply for admission to a QUT Doctor of Philosophy.
- The first step is to email Associate Professor Angela Watson detailing your academic and research background, your motivation to research in this field and interest in this scholarship, and include your CV.
- If supported to apply, you will then submit an expression of interest (EOI) following the advice at how to apply for a research degree.
- In your EOI, nominate Associate Professor Angela Watson as your proposed principal supervisor, and copy the link to this scholarship website into question two of the financial details section.
About the scholarship
While there have been considerable improvements to road safety over the years due to behavioural interventions, the effectiveness of these traditional approaches appears to be waning. This is particularly true for a sub-section of road users such as people living in regional and remote areas and high-risk individuals such as recidivist offenders. While technological advances look hopeful, much of this technology is out of reach for many Australians, particularly for those most at risk. By harnessing and integrating data already collected, a more complete and efficient means of understanding the influences on road crash involvement at the individual, community and societal levels can be achieved. Increasing understanding of such contributing factors particularly for high-risk road users will help to inform the development of effective, targeted countermeasures as well as assist with identifying potentially opportune times for early intervention.
There is a need to expand the current models of road safety beyond the individual risk and protective factors to include community and societal influences. While ecological approaches have been applied in the past, the combination with individual-level factors could expand the scope of our understanding by allowing for the complex interplay between individuals and their environment and the influence on road crash risk.
The aim of the project is to develop novel, integrated ecological models using linked multi-level (individual, community and societal) data sources. Integrating these data sources will identify new opportunities for intervention that have been missed using conventional approaches. This ecological data systems-based approach would extend beyond the road transport system to account for the broader social context in which road user behaviour occurs.
The successful candidate will have the opportunity to work with a team of leading researchers in the areas of road safety, data linkage, statistics, and public health.