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Field
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. Key Responsibilities: Develop and implement perception and control algorithms for robotic arms and embodied AI systems. Assist in integrating multimodal AI models (vision, language, force sensors) with
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project where you will be part of the research team to develop a Multimodal AI for Fire Detection & Safety Systems. Key Responsibilities: Participate in and manage the research project with Principal
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interactive robotics, with solid expertise in control theory, robotic perception, or machine learning for robotics, or more broadly AI for autonomous systems (computer vision, multimodal AI, speech and language
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environments, including Extended Reality (XR), to study human perception in multisensory contexts. Analyze multimodal data, including objective measurements from sensors (e.g., eye tracking and physiological
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-language-action models, imitation and reinforcement learning, world models, multimodal perception, model compression and edge inference. A key aim is enabling robots to improve beyond initial demonstrations
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, multimodal sensing, LiDAR processing, or infrastructure monitoring is required. Familiarity with machine learning, large language models, agentic AI, AI-based perception, and data integration is important
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. Key Responsibilities: Develop and implement perception and control algorithms for robotic arms and embodied AI systems. Assist in integrating multimodal AI models (vision, language, force sensors) with
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. Key Responsibilities: Develop and implement perception and control algorithms for robotic arms and embodied AI systems. Assist in integrating multimodal AI models (vision, language, force sensors) with
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at: http://dimadamen.github.io/ Prior expertise in audio-visual perception and deep learning methods with a strong publication track record is expected, including first-author publications in CVPR/ICCV/ECCV
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applied AI research, contributing to one or more of the three thematic working groups: 1) Integration and extraction of actionable information from multimodal spatiotemporal data, including physiological