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and implementing computer vision and perception pipelines for challenging real-world, multimodal sensor environments, supported by strong expertise in ML, DL and AI algorithms. Proficient in training
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research and field explorations. Physical Grounding and Scene Understanding - Build perception pipelines that connect visual and multimodal observations to structured representations of the physical
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research team and contribute to data collection and analysis across multiple settings. The project uses participatory and multimodal research methods, including focus group interviews, live concert
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research and field explorations. Physical Grounding and Scene Understanding - Build perception pipelines that connect visual and multimodal observations to structured representations of the physical
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level, with sub-metre precision? This PhD will develop next-generation foundation-model-driven urban perception systems that fuse: high-resolution satellite imagery, aerial data, street-level imagery (e.g
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multimodal interaction. Our research aims to bridge the gap between visual perception and actionable assistance, with applications including: · Video-based skill coaching and instruction
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children learn new words not only by listening to a storyteller but also by processing multimodal signals such as iconic gestures and gaze direction. Using eye-tracking in both real-life and digital contexts
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Doctoral Researchers (PhD students) to work on deep learning methodologies for machine and robot perception. These positions are funded by the Horizon Europe project OPERA (Open Perception, Learning, and
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to the research groups “Multimodal Reasoning for Robotics and Process Intelligence” and “Underwater Technology”, and the Assistant Professor will be positioned in the Esbjerg Energy Section. Research areas will be
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Embodied AI, with a focus on integrating AI-driven perception, reasoning, and action to enable intelligent robotic behavior across diverse real-world environments. The position involves working on embodied