Project summary
Most industrial infrastructure relies on iron-based materials safeguarded by polymeric coatings. These coatings fail through a range of mechanisms that vary across the surface of an asset. Predicting coating failure is inherently complex and demands a holistic approach that draws on materials science, modelling, and complementary inspection techniques including electrochemistry and imaging.
This project aims to combine multiple inspection methods such as visual, multispectral, spatial, and electrical to deliver accurate and statistically sound estimates of coating residual life and asset damage, supporting more effective maintenance decisions and asset management strategies.
Summary of position
The opportunity is for an Australian domestic student to pursue a PhD in an exciting area of research and industry relevance. You will be part of a broader team of material scientists and data analysts conducting measurements and developing models to predict the future state of some of Australia's largest assets and enable owners to optimise their management. The scholarship will provide a living allowance.
Applications close
5 June 2026 11:55pm
To complete an application you will need to create an account and login to the HDR scholarships portal.
Ideal candidate
The ideal candidate will have an engineering or physical science background with a strong interest in materials. Ideally, they will have experience working in a laboratory and industry setting. Strong modelling skills using both open-access platforms as well as proprietary software are preferred. Experience with data analysis using ML techniques for both numerical and image-based data will be required.
Inclusions
- Stipend of $38,000 per annum, paid in fortnightly instalments (tax-free for full-time students)
- Tuition offset scholarship for 3 years to cover cost of tuition fees (minimum value $84,000)
- Relocation allowance of $2,000 per scholarship conditions
- Package funded through UniSC's Research Training Program for 3 years to align with thesis submission (possible extension in line with relevant policies and procedures)
- Domestic candidates must be Australian citizens, New Zealand citizens, or Australian permanent residents
For questions or additional information
Contact Associate Professor Geoffrey Will at gwill@usc.edu.au.