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Employment 1.0 FTE Gross monthly salary € 3,706 - € 5,760 Required background PhD Organizational unit Faculty of Science Application deadline 14 October 2026 Apply now Join an ambitious
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postdoctoral researcher, you will lead the human-computer interaction side of the project. You will investigate how everyday athletes and coaches currently use tracking and feedback technologies, design and
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) Application Deadline 14 Oct 2026 - 21:59 (UTC) Country Netherlands Type of Contract Temporary Job Status Not Applicable Is the job funded through the EU Research Framework Programme? Not funded by a EU
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, workshops, demonstrators, and international collaboration activities within the AutHUMate consortium. Job requirements Essential: PhD in Human-Computer Interaction, Human Factors, Interaction Design or a
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experimental research, good programming skills, a keen interest in human-machine communication, and is motivated towards contributing to Hybrid Intelligence. You are also expected to interact scientifically with
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interest in societal impact. You have: Must have criteria: a PhD in computer science, artificial intelligence, data science, computational social science, urban analytics, geoinformatics, or a related field
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close collaboration with researchers from Urbanism, and Materials and Environment (Civil Engineering and Geo Sciences) at TU Delft, and with researchers from TU Eindhoven (Human Technology Interaction
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). This interdisciplinary project investigates how AI — specifically large language model (LLM)-based agents — can act as adaptive social agents to support students' collaborative learning in Challenge-Based Learning (CBL
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Postdoc in Application of eXtended Reality for Inclusive Automated Vehicle and Road User Interaction
, supportive environment that fosters learning and professional growth. Job requirements Hold a PhD degree in a relevant field (e.g., Transportation, Human-Computer Interaction, Computer Science, or a closely
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Challenge: Predict long-term cardiac growth and remodeling in cardiovascular disease. Change: Develop multi-scale mechanobiological models for virtual human twins. Impact: Advance patient-specific