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scholarship is offered annually by the Minerals Research Institute of Western Australia (MRIWA) to encourage and enable a student of exceptional research promise to undertake a PhD degree in any discipline
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a digital format. Computer visions techniques have been recently developed for structural health monitoring of civil structures, including vibration displacement measurements, crack detection and
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synchrotron technology. The candidate should have experience in one or more of the following research areas: Chemical Engineering, Chemistry, Chemical Sensing, Environmental Science, Mineral Processing
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investigations at macro, micro and molecular levels. Modeling tools such as HSC Chemistry and ASPEN Plus will be used to identify most suitable low cost catalysts/minerals and to perform process modeling
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Kickstart your career with CSIRO’s Industry PhD Advancing circular economy: critical minerals recovery from mineral sands processing and TiO2 pigment residues at Tronox Tronox is a proud leader of
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This scholarship is jointly funded by a leading computer vision company in Australia and the STEM College of RMIT University. The research includes investigation into automated product quality
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, Chemical Engineering, Geochemistry, and Mineral processing. The role of the PhD student includes: Investigate the uranium uptake kinetics, stability and their relationship to environmental conditions with
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an ARC Linkage Project focused on developing an autonomous system for detecting and quantifying structural damage in infrastructures (e.g., bridges, grain silos) using computer vision, digital twins, and
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, analytical, and kinetics modelling techniques. To realise the sustainable development of the blast furnace ironmaking process under increasingly stringent global carbon emission regulations, major
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relationships. The candidate will examine the choreographic development process and performance outcomes of the project and assist development of a methodological framework for capturing, assessing and reporting