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candidates for PhD study in the Department of Data Science and Artificial Intelligence at the Faculty of IT, Monash University. As part of this scholarship, the successful candidate will develop novel
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of criminal organizations. Required knowledge Graph Theory, Machine Learning, Python programming
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or environments. This approach enhances surveillance capabilities, offering a means to attribute suspects based on behavior rather than appearance. Required knowledge Python programming Machine learning background
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for detection purposes, this project also involves collecting and/or generating different datasets for experiments. Required knowledge Python programming Machine learning background
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at Monash University. The successful candidate will join our world-leading team in Temporal Analytics Lab, a world leading research group uniquely combining research in time series forecasting, classification
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to learn robotics or human-centered research methods will also be considered. Experience with programming languages (particularly Python), deep learning frameworks, and robotic simulation platforms (ROS
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enforcement, tourism, and transportation by automatically identifying and categorizing critical public spaces. Required knowledge Python programming Machine learning background
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Benchmarking or deaR (DEA) lm / glm (regression) Python Libraries pandas, numpy, statsmodels pyDEA (for DEA)
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manner, or we could adapt alternative forms of LLMs like JEPA. Required knowledge Good Python coding and operational experience with LLMs. Basic Bayesian understanding.
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PatchSentinel-X: Transformer-Based Security Patch Intelligence for Vulnerability Lifecycle Assurance
prototype A prototype that can support secure code review by producing patch trust scores and review recommendations. Required knowledge Essential Python programming, Machine learning fundamentals, Deep