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PhD: Self-Evolving Agents: Continual, Trustworthy, and Resource-Efficient Agentic AI Job No.: 698514 Location: Clayton campus Employment Type: Full-time Duration: The scholarship may be held for up
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Cooperation is difficult whenever individual incentives conflict with a shared goal. This problem appears in human societies, biological systems and groups of artificial agents. It also lies behind
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World models are becoming an important direction in artificial intelligence and robotics. Instead of responding only to what is currently observed, an intelligent agent can use an internal model
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hinder their adoption in real-world clinical practice, where explainability, trust, and accountability are essential. Recent developments in Agentic AI offer a promising paradigm shift. Rather than relying
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of cybersecurity where AI systems are no longer passive detection tools, but active cyber defenders. The project investigates how large language models, multi-agent systems, reinforcement learning, and secure
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that remain secure, privacy-preserving, explainable, and clinically reliable when exposed to adversarial attacks, prompt injection, poisoned data, privacy leakage, and unsafe autonomous AI-agent behaviour
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The rapid deployment of increasingly capable AI agents has prompted a fundamental reassessment of how safety should be built into AI systems. Bengio and colleagues have argued that purely agentic
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therapeutic agent. Large number of assays will be utilized. Project Area: Alzheimer’s Disease Supervisor(s): Dr Binosha Fernando, Professor Ralph Martins Project level: Masters, PhD School / Research Centre
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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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We are excited to offer a fully funded PhD position at the Faculty of Engineering, Monash University (Australia). This project focuses on developing new algorithms to equip social robots with the social, cognitive, and communicative skills needed to autonomously engage in meaningful, long-term...