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findings at major conferences and workshops Contribute to the supervision and mentoring of PhD and Honours students About you You will hold a PhD in physics, materials science, engineering or a related
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advice and user support, deliver training, develop methods, troubleshoot instrumentation and ensure high-quality data to support world-class research. You will also support X-ray Computed Tomography (XCT
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Anomaly detection methods address the need for automatic detection of unusual events with applications in cybersecurity. This project aims to address the efficacy of existing models when applied
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of mathematical and computational methods for scientific and engineering problems arising in areas such as climate science, physics, and the life sciences. Applications must be made via the Monash University portal.
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AI is now trending, and impacting diverse application domains beyond IT, from education (chatGPT) to natural sciences (protein analysis) to social media. This PhD research focuses on the fusing AI
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completion); Applied for admission to a PhD program at an Australian university or be a student enrolled in their first 12 months of study in a PhD program at an Australian University; A university supervisor
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trustworthy decision support. This PhD project aims to develop next-generation Trustworthy Agentic AI frameworks that integrate multi-agent collaboration, large language models, retrieval-augmented generation
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‑wide learning ecosystem that connects formal learning, workplace development, and capability‑building initiatives. Shift Mindsets & Behaviours: Build enterprise capability frameworks that define
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, bringing together more than 250 staff and 250 PhD students at the forefront of drug discovery and development. Renowned for translating world-class science into real-world impact, MIPS combines deep
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industry partner, CSL Behring. These datasets hold critical patterns, anomalies, and insights that traditional methods miss. You will develop, test, and evaluate robust, interpretable machine learning models