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experience in robotic modeling, control, prototyping, system integration, and experimental validation. • Ability to conduct independent research and communicate effectively in English for
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/ technical hands-on experience in building energy/power system control & optimisation. Familiarity with building energy/power system control & optimisation, building automation and control (BAC) system
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Job Description • Develop dynamic models and simulation frameworks for a novel pier-free telescopic coastal barrier system. • Design and implement coordinated control algorithms
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flight control systems. • Strong publication record in reputable international journals and conferences relevant to robotics, UAVs, autonomous systems, or artificial intelligence
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PMSRM/PMSynRel) control using inverters, high-performance motor drive control, and Battery Management Systems. • Develop digital twins of the detailed electrical power system based on the concept
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1. A PhD degree in a relevant area, e.g., Chemical Engineering, Control Engineering, Computer Science, Systems Engineering, etc. 2. The candidates should have strong math, modeling, programming, and
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theory, reinforcement learning, robotics and perception. You will investigate new algorithms and methods for robust and adaptive manipulation, including learning-based control for robotic systems and
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Device Fabrication & Characterization Fabricate and characterize high-quality quantum material devices with precise control over structure and electronic properties Conduct low-temperature
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equipment. Job Requirements: Education qualifications: PhD (Mechanical Engineering) or above Soft skills: Organization management and project progress control ability, channel development and industry
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prototyping of intelligent HVOF spraying equipment with integrated control systems; (c) contribute to the development of multi sensor fusion technologies for defect prediction and process parameter