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for the steelmaking process, with the goal of reducing its environmental impact, particularly in lowering carbon emissions. Led by Professor Geoffrey Brooks and Dr. Michelle Dunne from Swinburne University
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empowered by Artificial Intelligence of Things (AIoT). By digitally representing physical objects and harnessing real-time IoT data, our goal is to enhance productivity and reduce maintenance costs for our
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backgrounds to apply. We are committed to making the recruitment process fair and equitable for all our candidates. If you have specific accessibility or support requirements please contact inclusion
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substrate. The key research areas of the project include building on results that led to significant improvement in durability of mild steel via a new robotic additive coating process at high thicknesses
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substrate. The key research areas of the project include building on results that led to significant improvement in durability of mild steel via a new robotic additive coating process at high thicknesses
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empowered by Artificial Intelligence of Things (AIoT). By digitally representing physical objects and harnessing real-time IoT data, our goal is to enhance productivity and reduce maintenance costs for our
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walks. The successful candidate will develop techniques that they can be applied to wickedly difficult but physically important problems such as polymer knots and links, and the study of polymers with
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examples include: a. Impact of space and environment on innovation mindsets, processes, teams, and culture b. Designing physical and digital spaces for innovation practices c. Designing artefact and
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Department of Physics and Astronomy This position is currently located at the Hawthorn campus, but the incumbent may be required to undertake duties at any of the University's campuses Stipend
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. Impact of space and environment on innovation mindsets, processes, teams, and culture b. Designing physical and digital spaces for innovation practices c. Designing artefact and spatial affordances