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people who discover them The Opportunity Join an ARC-funded research project developing numerical methods to simulate the flow of dense viscous liquids through a deformable granular mush. The project aims
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. Explore different approaches to building data-driven models to simulate farming systems to generate holistic indicators of systems performance, moving beyond simple indicators of productivity. Apply models
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responsibilities will include: Research: Lead and support research activities in power electronics, power system stability, hardware-in-the-loop testing, real-time simulation, oscillation source identification, and
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below: Essential: A PhD in Mechanical Engineering or a related field. Strong experience in computational mechanics and simulation tools (e.g., COMSOL, ANSYS, Abaqus). Experience in thermo-mechanical
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focused on the design and development of advanced power electronic systems. The primary role will involve the design, simulation, and validation of power electronics, including converter design
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Criteria for Academic Performance . About You Completed PhD in Transport Engineering, Civil Engineering, or a closely related discipline. Research expertise may include one or more of the following areas
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simulation and real-world data collected by an AUV. The successful candidate will work closely with our project partners in assessing their utility using data collected by an AUV system and providing advice
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combined with first principles and multiscale simulation for the design of molecules, catalysts and materials, with applications in clean energy and decarbonisation AI for clinical and health research using
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and perform numerical simulations To be successful at Level B please address the selection criteria A PhD or equivalent in data science, social network analysis, mathematical modelling, statistics
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research fellow interested in leading the development of these tools using a combination of simulation and real-world data collected by an AUV. The successful candidate will work closely with our project