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Max Planck Institute for Intelligent Systems, Tübingen site, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | 13 days ago
Interactions” to develop datasets and algorithms to capture and analyze eye gaze. About the project We are supporting the development of highly realistic human and animal avatars for use in research, film
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of robots to interact with the surrounding environment and humans during the execution of specific tasks. Project description The fundamental vision of RAI is aiming in closing the gap from theory to real
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of robots to interact with the surrounding environment and humans during the execution of specific tasks. Project description The vision of RAI is aiming in closing the gap from theory to real life, while
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12th December 2025 Languages English English English The Department of Computer Science has a vacancy for a PhD Candidate in Human-AI Interaction and Learning Apply for this job See advertisement
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information about this vacancy, please contact Dr. Ing. Yan Ma, Assistant Professor Email: yan.ma@tudelft.nl . For information about the application procedure, please contact: recruitment-me@tudelft.nl
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have an academically relevant background within Learning Technologies, Interaction Design, Human-Computer Interaction (HCI), Human-Centred Computing or alike. You must have a Master's degree in Computer
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qualifications You have graduated at Master’s level in computer science, computer engineering, human-computer Interaction, media technology, visual learning and communication, or closely related fields
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12th December 2025 Languages English English English The Department of Computer Science has a vacancy for a PhD Candidate in Mutli-Agent Communication to Enhance Human Learning Apply for this job
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understanding of the levers of engagement and empowerment for people with aphasia in a technology-assisted rehabilitation context. Combining insights from social sciences, ergonomics, and human-computer
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that support the human learning and improving the learning outcomes. The AI agent development will focus on semi-autonomous interaction using single-shot/mutli-turn interaction. This includes training the models