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/LLM-based system capable of identifying socio-cognitive and socio-emotional triggers in student group interaction data (text, audio, and multimodal streams), drawing on the HASRL framework and the
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robot capabilities, dynamic constraints, contact-rich interactions, perception limitations, and high-level human guidance. A key objective is to bridge high-level task planning with the physical
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system. Design and implement an NLP/LLM-based system capable of identifying socio-cognitive and socio-emotional triggers in student group interaction data (text, audio, and multimodal streams), drawing
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; experience with observations and video analysis is a plus; Substantive interest in and knowledge of violence and conflict, especially interactional studies of aggression and conflict management; Experiences
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excellent academic record and strong expertise in materials characterization and coating technology. An independent and creative mindset combined with the ability to work collaboratively. Excellent English
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, and corrosion science will be a clear advantage. An excellent academic record and strong expertise in materials characterization and coating technology. An independent and creative mindset combined with
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interaction? Which parameters and mechanisms govern the response of a lined tunnel? How can the complex, time-dependent behaviour of deep plastic clay and segmented concrete lining be captured in models
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, data analysis, literature research, article writing, and contributing to the acquisition of funding. We ask you to become independent by taking initiative and developing your own creative ideas. You will
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scientific creativity and enjoys developing innovative experimental paradigms; has an excellent publication record relative to career stage; communicates effectively in spoken and written English; enjoys
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the hardware that enables the next generation of intelligent robots to physically sense and interact with their environment. Job requirements You hold a PhD in Electrical Engineering, Microelectronics