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The focus of the project is artificial intelligence (AI) and its relation to robotics and embodiment. Embodiment plays a significant role in learning in AI by enabling cognitive agents to acquire actively
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relation to robotics and embodiment. Embodiment plays a significant role in learning in AI by enabling cognitive agents to acquire actively knowledge and skills through interaction with their surrounding
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, imaging, and computation. Show interest or experience in automation, AI-assisted microscopy, and data-driven experimental design. Have experience working with LLM-based chat assistants, AI agents
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involving small groups of socially interactive virtual characters and agents (also known as SIAs). These embodied agents typically have a 3D representation and are able to interact with humans by expressing
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the Associate Professor Zoe Falomir. Interested? Submit your application by Nov 30, 2025. Project description and working tasks This project proposes the implementation of a cognitive agent embodied in a humanoid
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? Submit your application by Nov 30, 2025. Project description and working tasks This project proposes the implementation of a cognitive agent embodied in a humanoid robot which will collaborate with a human
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agent behavior Strong collaborative skills and a track record of publications Preferred qualifications A doctoral degree or an equivalent foreign degree, obtained within the last three years prior
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validate decision-support tools for energy-aware planning, predictive maintenance, and resource optimization. -Develop and test multi-agent and distributed control systems using technologies such as IEC