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, scientific computing, automated data analysis, or computational modelling. Candidate Requirements Applicants will be considered provided they fulfil the criteria for PhD admission at Monash University. Details
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Research Degrees: 3291 - Doctor of Philosophy (PhD) 3292 - Master of Engineering Science (Research) E8011 - Industry Doctoral Program (IDP) Duration: Doctor of Philosophy (PhD) - 3.5-year fixed-term
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My research focuses on strongly interacting quantum systems at the interface between condensed matter physics and ultracold atomic gases. In particular, I am interested in the interplay between few- and many-body physics in scenarios ranging from superfluids to quantum impurity problems to...
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I am interested in the most catastrophic and explosive collisions in the Universe, such as the mergers of neutron stars and black holes. I study these using both gravitational waves and electromagnetic signatures, primarily focussed on linking the data from these exciting experiments with our...
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My interests span a wide range of topics in theoretical physics, including: geometric phases, topological defects in matter and radiation fields, inverse problems (scalar and vector tomography), singular optics, using electrons, atoms and light and the exploration of complex systems using...
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academics at Monash University, including Professor Carol Propper , Prof Anthony Scott and A/Prof Terrence Cheng . As a candidate in the CHE Integrated PhD Program , you will receive rigorous training in
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for under Research Program. Application Close: Monday 10 August 2026, 11:55pm AEST Supporting a diverse workforce
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My research focuses on the dramatic final stages of massive stars, exploring how they end their lives as gamma-ray bursts, supernovae, and kilonovae. To unravel these mysteries, I employ a combination of multi-wavelength observational data with sophisticated simulations. I am a member of various...
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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 of light, focusing on controlled light-matter interactions at the nanoscale. Driven by the fascinating...
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We have several PhD opportunities available in areas such as Multimodal Large Language Models (MLLM) for human understanding, MLLM safety, and Generative AI. If you have published in top-tier conferences (e.g., CVPR, ICCV, ECCV, NeurIPS, etc.), you will have a strong chance of receiving a full...