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On their own, traffic accidents cause 1.3 million fatalities every year – and improper situational awareness is often a major cause. This project aims to exploit big spatio-temporal data to design
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I specialise in the numerical modelling of high-energy particle collisions , such as those occurring at the Large Hadron Collider. Accordingly, most projects I offer straddle the intersection
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As education systems increasingly adopt AI to support teaching and learning, the automation of assessment and feedback processes has emerged as a critical area of innovation. Large-scale learning
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Time series are an ever growing form of data, generated by numerous types of sensors and automated processes. However, machine learning and deep learning methods for analysing time series are much
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In NeuroDistSys (NDS): Optimized Distributed Training and Inference on Large-Scale Distributed Systems, we aim to design and implement cutting-edge techniques to optimize the training and inference
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in data, digital and financial transformation to support its academic and research ambitions. The finance portfolio plays a pivotal role in shaping long-term strategy, driving commercial insight, and
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area Software Engineering The objective of this project is to design automated approach to detect bugs in various software, e.g., compilers, data libraries and so on. The project may involve LLMs
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collaborate across UMAC, faculties, and portfolios to ensure our content is purposeful, data-informed, and aligned with strategic priorities. This is your chance to play a key role in operationalising Monash’s
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-Robust Medical Imaging Models in the Wild PhD/RA opportunities on Multimodal We have several PhD and Research Assistant (RA) opportunities available in areas such as Multimodal Large Language Models (MLLM
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for someone with: Demonstrated business partnering experience in complex, medium to large organisation with a HR / People and Culture operating model involving centre of expertise and shared services Curiosity