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Field
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to lead projects aimed at advancing flexible electronics for real-time physiological monitoring/wearable robotics, contributing to the development of next-generation healthcare solutions. Key
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contribute to a collaborative, interdisciplinary research culture. The candidate must have: A PhD in Electrical Engineering, Applied Physics, Robotics, or a closely related discipline. Strong background in
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agencies. Qualifications • PhD in Robotics, Mechanical Engineering, Mechatronics, Computer Vision, or a closely related field. • Strong expertise in robot design and at least one of
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research program to develop next-generation sensor devices and systems for human-machine interactions. Qualifications PhD in Materials Sciences, Robotics, Mechanical Engineering, or related disciplines. More
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international collaborators from the REWIRE-CAN team. The post is funded by Cancer Grand Challenges until April 2031 in the first instance. Appointment at Grade 7 is dependent upon having been awarded a PhD; if
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prides itself in its excellent research capabilities in areas including advanced manufacturing, aerospace, biomedical, energy, industrial engineering, maritime engineering, robotics, etc. The school is
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supercomputer for large-scale simulation and adversarial testing The project also includes industrial validation with social robotics platforms (e.g., QTrobot) for deployment in educational and special-needs
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hands-on experience in areas such as computer vision, deep learning, multi-modal sensing, robotics, structural health monitoring, or digital twin technologies. (Fresh PhD graduates are welcome
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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
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prides itself in its excellent research capabilities in areas including advanced manufacturing, aerospace, biomedical, energy, industrial engineering, maritime engineering, robotics, etc. The school is