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Field
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Perception Engineer: Perception Performance of Robotic Systems Position Description: The Intelligent Systems Division at NIST is investigating the performance of 3D machine vision systems for various
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focused on exploration and development of AI models of auditory perception, towards a broader goal of understanding how the brain predicts and learns from human communication sounds such as speech and music
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systems, including robotic hardware platforms, multimodal sensing modules and real-time control architectures; (b) conduct independent and in-depth research on multimodal human-robot interaction and
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Sensor AI team at imec, we build nextgeneration edgedeployed, multisensor perception systems designed to operate under strict size, weight, and power and real-time compute constraints. These systems merge
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between inclusive participation and data quality requirements for policy and decision making. The PhD is expected to be primarily qualitative, using in depth, place based case studies and methods such as
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FUNCTIONS Diagnoses eye and vision problems as well as some conditions caused by systemic diseases. Examines visual acuity, depth, and color perception. Assesses ability to coordinate and focus eyes
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, and evaluate a hardware-aware AI framework for cognitive 3D mapping. The work will bring together three complementary sensing streams: structured illumination for active optical depth recovery and high
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complement the quantitative analysis with an in-depth exploration of the experiences, perceptions and trade-offs associated with long-term treatments. The ability to integrate quantitative and qualitative
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are the public face of our division and have the ability to shape the positive perception of our clients. This responsibility is an important part of our service. This candidate is expected to: Communicate
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. This position will require an in depth knowledge of a specialized field, process, or discipline and may involve organizing and implementing complex research plans, the development of methods of research, testing