327 machine-learning "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" "UCL" uni jobs at Monash University in Australia
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to real-life data. The goal is to generate new knowledge in the field of time series anomaly detection [1,2] through the invention of methods that effectively learn to generalise patterns of normal from
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service and high‑quality outcomes Well‑developed written and verbal communication skills The ability to work independently while contributing positively to a team Strong computer literacy, including
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In SmartScaleSys (S3), we aim to design and build resource management solutions to learn from usage patterns, predict future needs, and allocate resources to minimize latency, energy consumption
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This Ph.D. project aims to combine causal analysis with deep learning for mental health support. As deep learning is vulnerable to spurious correlations, novel causal discovery and inference methods
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Statistical Methods, Automated Planning and/or Reinforcement Learning.
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range of stakeholders and negotiate positive outcomes to complex issues. You will also have highly developed computer literacy, including experience with business and design software, with proficiency in
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demonstrate strong analytical and problem-solving capabilities, alongside well-developed written and verbal communication skills to engage effectively with diverse stakeholders. High computer literacy
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‘dynamic graphs’. Although recently many studies on extending deep learning approaches for graph data have emerged, there is still a research gap on extending deep learning approaches for identifying
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principles and safe work practices. High-level computer literacy and the ability to quickly learn and adapt to new systems. About Monash University At Monash , work feels different. There’s a sense of
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of Machine Learning (ML) models across large-scale distributed systems. Leveraging advanced AI and distributed computing strategies, this project focuses on deploying ML models on real-world distributed