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member in the Faculty of Science and Technology, in the following disciplines: IoT infrastructure and devices (sensors, embedded systems, etc.) Sensing technologies IoT security and privacy-enhancing
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that blend industrial design with advanced technologies. He/she will apply expertise in areas such as electronics/sensors technology, machine learning/programming, physical ergonomics/cognitive ergonomics
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engineering, Sensor networks and IoT, Computer system security, Mobile Computing, Cloud Computing, Edge Computing, Social Network Programming and Analysis, Intelligent Transportation. RESPONSIBILITIES
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are not limited to: (1) Embodied AI and Machine Learning for Robotics; (2) Multi-Robot Systems; (3) Human–Robot Interaction; and (4) Robot Perception and Sensor Fusion. The selected candidate is expected