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. Focusing on adaptive intelligence, which blends human creativity and machine intelligence, the project will develop Multi-Intelligence Agents (MIAs) to facilitate the seamless integration of social factors
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What you'll receive The CSIRO Industry PhD Program (iPhD) is a four-year research training program, aimed to produce the next generation of innovation leaders with the skills to work at the interface of research and industry in Australia. The Program includes: admission to a university PhD...
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both individual decision-making and multi-agent cooperation. The student will investigate two complementary directions: ToM-Enhanced Decision-Making for Autonomous Agents: Develop decision-making
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severity ranking in video games. The research will implement a multi-agent workflow with three complementary roles: an Explorer agent that actively probes the game to discover failures; an Inspector agent
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support: Assist with prototyping and evaluation of multi-agent workflows (e.g., information retrieval, semantic search, recommendation logic, human-in-the-loop processes). Programming and implementation
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the next generation of human-centred industrial systems? We are seeking a talented PhD student to investigate Agentic AI for human–robot collaboration, focusing on how intelligent machines can understand
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community of staff are united by our purpose to inspire Australia’s future change-makers and create a better tomorrow. Work that matters Advance the frontier of AI by developing multi-agent systems capable
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://cavecore.eu/ Your Research Project (DC4) You will work at the intersection of machine learning, control theory, and autonomous multi-agent systems to develop hybrid learning-based control strategies
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. Postdoctoral Associate - Multi-agentic Coordination, Self-learning and AI Safety in Health Be You. The Department of Surgery at Duke University Medical Center seeks a Postdoctoral Fellow to lead research in
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behaviours of multi-agent systems in response to changing internal states and external environmental conditions. Both traditional model-based approaches and modern learning-based control techniques will be