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Polymer manufacturing is highly energy intensive, and achieving net zero requires more than fuel switching. This project focuses on process systems engineering for industrial decarbonisation
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industrial data, to transform how pharmaceutical blending processes are designed and scaled. The project combines simulation, high-performance computing and industrially relevant experimentation, providing a
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into high-purity powders. Using mechanochemical processing, you will investigate and control phase formation, particle size distribution, morphology, and flowability. You will then establish additive
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to address that gap. You will develop and optimise routes for converting silicon-rich waste streams into high-purity powders. Using mechanochemical processing, you will investigate and control phase formation
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development of ICON model as needed for your work Disseminate your research through high-quality peer-reviewed publications and presentations at conferences Teach independently within the scope
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future tasks: Active participation in research and teaching, which means: Lead independent research on your doctoral thesis topic Contribute to the further development of ICON model as needed for your work
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, validated laser-scanning optimisation strategies, and a robust process-design methodology for producing high-quality POC moulds. Secondments to industry and university partners support validation of ablation
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development of ICON model as needed for your work Disseminate your research through high-quality peer-reviewed publications and presentations at conferences Teach independently within the scope
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, and reintegrating battery materials into new cell manufacturing processes. Research activities may include: Characterisation of battery production scrap and recovered materials. Development of electrode
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outcome is the design of methods, techniques and their prototype to implement trusted PQC migration. The potential benefit is to enhance the security of Australian critical infrastructures against quantum