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these methods to understand the atomic structure and properties of a range of materials being developed for efficient solar cells, light generation, batteries, superconductors, photonics and nanoelectronics. We
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research and teaching as one of the world's top 80 universities. Embedded in an ecosystem of health, academia and industry, it delivers the research outcomes, skilled workforce, technology and partnerships
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in an ecosystem of health, academia and industry, it delivers the research outcomes, skilled workforce, technology and partnerships to improve human health locally and globally. Supervisory team
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infancy and across the lifespan. Drawing on the expertise of our staff and the University' unique research platforms and technology, our mission is to sustain and build on Monash's position with world-class
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statistical analysis and/or coding (e.g., R, Python, C++) Exposure to neurophysiological measurement methods (e.g., eye-tracking, pupillometry) Interest or training in technology law, digital regulation, or AI
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of health, academia and industry, it delivers the research outcomes, skilled workforce, technology and partnerships to improve human health locally and globally. Supervisory team This project will be
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in an innovative and interdisciplinary approach. A background in science and engineering or social science and policy analysis is desirable. Experience with systems modelling (e.g. system dynamics
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I supervise a wide range of PhD projects on experimental research into the electronic properties of novel quantum materials including topological insulators, graphene, and other atomically thin two-dimensional materials. I am interested in creating a low-power topological transistor, in which an...
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I am an ARC Future (former DECRA) Fellow and lead the Structured Nanophotonics Group at Monash University. My research in nanophotonics explores the full potential and multi-dimensional nature
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they bond in materials, but also develop transferable skills in scientific computing, data analysis and visualisation. "Machine learning for atomic-scale structure determination in thick nanostructures" (with