PhD scholarship researching digital twin and AI methods to improve condition rating, prioritisation, and decision-making for large-scale infrastructure asset networks

PhD scholarship researching digital twin and AI methods to improve condition rating, prioritisation, and decision-making for large-scale infrastructure asset networks

PhD scholarship researching digital twin and AI methods to improve condition rating, prioritisation, and decision-making for large-scale infrastructure asset networks

This scholarship supports a PhD focused on digital twin–based condition rating and optimisation for infrastructure networks such as transport, utilities, buildings, and public assets.

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$35,886 per annum (2025 RTP stipend rate), indexed annually in line with University indexation. Fee waiver.

One (1).

International Students accepted.  Please view the How to Apply page for eligibility.

2026-03-04

Submit an expression of interest including CV, academic transcripts, and a brief research statement aligned to digital twins and infrastructure asset management, then apply through the HDR application process. View the  the How to Apply page for more details. 

N/A

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