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This project will contribute to a critical and timely upskill in Australia's capability in applied artificial intelligence (AI) – firmly impacting the Science and Research Priority area of Advanced Manufacturing.

The proposal will train a PhD cohort, with world class supervision and industry partnership in two core areas; namely Machine Learning (ML) and Computer Vision (CV). Research students will participate in industry-led research projects and placements to build job-ready skills.

In the domain of ML, this project aims to develop and demonstrate new, reliable methods for materials design, combining machine learning with design thinking. The development of advanced materials has a long history in Australia, and unlike the design of other engineered products, there is no clear design methodology for materials to date. Exploiting ML will enable rapid design and development of alloys for specific applications – with sustainability in the design process.

In the domain of CV, advanced materials technology that includes (i) durability assessment of infrastructure (using robotic vision) and, (ii) integration of CV into the manufacturing process – are critical for enhanced operational efficiency and building emerging technology capability.

The development of technologies in the domain of materials is critical in meeting rapidly emerging requirements and sovereign societal needs.

Chief Investigators

Professor Nick BirbilisProfessor Svetha VenkateshProfessor Amanda S BarnardAssociate Professor Hanna SuominenDr Kevin J LawsDr Qing Wang



Industry partners

BlueScopeDuratecAdvanced Alloy HoldingsMaple Glass PrintingNanoCube Health, CSIRO's Data61

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