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skills, to undertake a PhD in the Faculty of Arts are available at https://arts.monash.edu/graduate-research/application-process/ . Applicants should ensure they familiarise themselves with
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capability. Details of the relevant requirements are available at www.monash.edu/graduate-research/study/apply . A degree in Chemistry, Chemical Engineering, Materials Science Electrochemistry, Physics, or a
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with leading researchers in glass science/engineering and diffraction physics/crystallography in Australia and around the world. "Local structure and symmetry in metallic glasses" (with Assoc Prof Scott
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contact Grace O’Donohue ([email protected] ) for further information regarding the project, scholarship details and application process. Application Close Date: Sunday 04/10/2026 11:55pm AEST
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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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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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microscopy, cryogenic transport, and nano‑device measurements. You will join a collaborative cohort spanning theory, experiment, and device engineering, with access to national facilities, joint Monash–Warwick
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to biomedical applications. Students will have access to our X-ray imaging laboratory in the New Horizons Research Centre for developing new technology. We also regularly perform experiments at the Australian
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interacting with these systems, including difficulties understanding eligibility requirements, producing relevant documents, and navigating complex administrative processes. The PhD project will generate in
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experience, deemed equivalent by the GRC (or delegate). The ideal PhD candidate will have: A strong background in machine learning, deep learning, and signal processing Proficiency in Python and machine