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Field
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Senior Research Fellow (Human Factors / Human-Computer Interaction / Engineering / Computer Science)
Human Factors, Human-Computer Interaction, Engineering, Computer Science, or a related discipline. Experience in Human-AI Teaming, Human-Automation Interaction, or Human-Centred AI, preferably in safety
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assessing the implications of human-predator-prey interactions in East Africa. Specifically, this project involves quantifying the nature and strength of Africa lion, spotted hyena, and Ugandan kob
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with human experimental research and quantitative data analysis. Experience with EEG hyperscanning, social neuroscience, social interaction paradigms, behavioural coding, or systematic reviews would be
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an important challenge in Human-Computer Interaction research: how can we create a proxy for a remote physical object that does not replicate, but extends the experience of interacting with the object itself
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projects spanning data visualization, human-computer interaction, and human-centered AI. Coordinate scientific project activities, including planning, reporting, and coordination across collaborating
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prototypes and interaction concepts through iterative user-centered design cycles with end-users. Run benchmarking experiments and user studies with human operators, including experimental setup, data
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skills, with the ability to bridge computer science concepts with domain engineering and municipal applications. Desired Qualifications* Experience with human-in-the-loop systems, interactive simulation
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non-deterministic behaviour, data-driven failure modes, human-machine interaction and emergent system effects; proposing and assessing architectural patterns for the safe integration of AI functions
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, or multimodal human–robot interaction. • A strong publication record, including multiple papers in leading robotics and mechatronics journals such as IEEE T-RO, IJRR, Soft Robotics, or equivalent
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autonomous task execution and human-robot interaction. The successful candidate will work on cutting-edge research at the intersection of AI, robotics, and multimodal learning. Key Responsibilities Design and