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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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Associate equivalent) degree in mechanical/electrical/power engineering or related field At least 1 year of relevant experience in numerical simulations and control Familiarity with building energy system
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, Electrical Engineering, or a related field. Strong foundations in machine learning, deep learning, computer vision, and at least one of 3D/4D vision, reinforcement learning, or robotics. Proficiency in Python
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the PI and research team. Job Requirements: Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field. Good knowledge of computer networks and network security
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developments in Green AI, foundation models, code intelligence, and AI systems. Job Requirements: Bachelor's in Computer Science, Artificial Intelligence, Data Science, Electrical Engineering, or a related
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reports and scientific papers. Job Requirements: Ph.D. degree in Computer Science, Mathematics, Information Theory, Cybersecurity, Electrical Engineering, or a related field. Strong publication record in
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, Electrical Engineering, Optical Engineering, Mechatronics, Robotics, or a related discipline. Knowledge of machine vision, optical instrumentation, sensing technologies, industrial automation, or related areas
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. Coordinate with research team and communicate with collaborators Prepare research proposals, technical reports, scientific publications, arising from the research. Job Requirements: PhD in Electrical
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support the development of in vitro bioelectronic tissue models through biofabrication and biomaterials engineering. The role will focus on the design and fabrication of cell-laden hydrogel constructs
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on research projects in SIT. The primary responsibility of this role is to deliver an industry-focused research and development project on Electrical Equipment Health Monitoring (EEHM) for a marine vessel power