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measurements in particle physics. Many of my projects are informed directly by current measurements, e.g. addressing new or unexpected features seen in the data. Others focus on improving the formal accuracy
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conduct experimental studies to explore which are more believable to a variety of audiences. The research will need to be informed by psychological or social science theory. The project is expected
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to 3.5 years (full-time) for Research Doctorate (PhD) studies Remuneration: The successful applicant will receive: A Faculty of Information Technology Research Stipend Scholarship (living allowance
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rate with annual indexation) FIT Candidature Funding of $4,000 for the duration of the candidature Up to $1,265 from Monash Graduate Research Office as a one-off travel grant The Opportunity This is an
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awardee. The Opportunity Generative artificial intelligence is a significant and highly visible use of machine learning which has become commonplace in a matter of a few short years. Without common
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Engineering Monash Engineering is a leading global centre for research consistently placing highly in international ranking lists. We engage with industry and other world leading institutes to carry out
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For better or for worse, Generative AI is changing our world. A key challenge in Generative AI is many-shot jailbreaking—where a language model, despite being explicitly trained to reject harmful
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through theory and simulation and/or experimental design and testing; developing new image reconstruction algorithms for providing more information with less radiation; and applying our techniques
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), singular optics, using electrons, atoms and light and the exploration of complex systems using statistical field theory. "Catastrophes on order-parameter manifolds" (with Dr Alexis Bishop and Dr Timothy
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imaging, based on absorption, provides good image contrast between high- and low-density materials, such as bones and soft tissue. However, it cannot distinguish subtle density differences between soft