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of Trustworthy AI and Cybersecurity. In this research-focussed role, you will lead and contribute to cutting-edge projects focused on evaluating, building, and deploying secure software systems powered by AI
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the Professor Stamatakis research program and contribute to the advancement of digital health and data science capability within an internationally connected research program, with a focus on wearables
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The primary objective of this project is to enhance Large Language Models (LLMs) by incorporating software knowledge documentation. Our approach involves utilizing existing LLMs and refining them
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spanning campus, data centre, private and public cloud networks, with the opportunity to influence how the network evolves through automation, AI-enabled operations and software-defined networking. You’ll be
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applications. You’ll combine strong software engineering capability with a user-centred mindset, leveraging modern technologies such as React, TypeScript, Node.js and cloud platforms including GCP/Firebase and
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knowledge program analysis, fuzzing, software testing, natural language processing
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application performance. The role will maintain a structured GitHub repository, establish automated deployment workflows, develop user and developer documentation and deliver technical handover, while
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🎯 Research Vision The next generation of software engineering tools will move beyond autocomplete and static code generation toward autonomous, agentic systems — AI developers capable of planning
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, applicants must also have an undergraduate or postgraduate qualification in computer science, information technology, machine learning, artificial intelligence, software engineering, or a closely related
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have highly developed computer literacy, including experience using business systems and software such as Microsoft Office. About Monash University At Monash , work feels different. There’s a sense of