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project - “eMotor+: Ultra-high performance electric motor drive systems for electrified transportation, robots, and automation”. Qualifications Applicants should have: (a) a doctoral degree or an
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Science and Artificial Intelligence, with a focus on visual reasoning and robotic systems. The Research Fellow position involves developing novel approaches that integrate computer vision, natural
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and experience; (b) strong research experience in intelligent transportation systems, robotics, navigation or related areas; (c) experience in data-driven predictive diagnostics and multi-modal
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engineering, product design and development, industrial energy efficiency, solar energy, advanced materials, mechatronics, micro-electro-mechanical systems, shock wave physics, robotics, thermofluids and
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Hyundai-NTU-A*STAR Corp Lab serves to drive research development and industry adoption of AI, Robotics, 3D Printing technologies, and Digital Twins through collaborative projects with HMGICS, and
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, advanced manufacturing, robotics, and sensing. Key Responsibilities: Conduct independent research in areas related to material science and engineering in soft robotics/self-healing / soft interfaces Develop
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 20 days ago
: PD & PEWER Level B Research Fellow_SOE.pdf Work with world-leading researchers in robotics, computer vision, and systems and control Contribute to impactful research on cutting-edge event-based sensing
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simulation and real-world robotic systems. Job Requirements: Preferably PhD in Computer Engineering, Computer Science, Electronics Engineering or equivalent. Independent, highly analytical, proactive and a
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engineering, biomedical engineering, and robotics. We are working with industrial partners in technology, automotive, aerospace, marine, healthcare engineering, and with sports teams to help them beat world
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. The Research Fellow will collaborate with interdisciplinary teams to lead projects aimed at advancing flexible electronics for real-time physiological monitoring/wearable robotics, contributing