228 postdoc-in-distributed-systems-and-controls-"Multiple" Fellowship positions at Nanyang Technological University
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Control whose primary focus will be developing security solutions for expanding networked cyber-physical systems. This role will involve designing, analyzing, and implementing advanced control methods
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reinforcement learning using degraded human feedbacks. Develop distributed localization approaches for multi-agent systems. Investigate the suitability of various sensors for robot navigation in human-sense
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. Develop and enhance advanced optimization algorithms for the Energy Management System (EMS), addressing energy dispatch, storage control, load scheduling, and strategies for market participation. Architect
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Engineering, Automation, Mechanical Engineering, Control Engineering, Mechatronics, Computer Science, AI, etc. Strong background in autonomous driving, deep learning, interaction modelling, prediction, robotics
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Fellow in Autonomous Systems and Control to design and implement efficient, performance‑guaranteed distributed control approaches, leveraging cutting‑edge learning algorithms and AI strategies
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School of Electrical and Electronic Engineering is one of the founding Schools of the Nanyang Technological University. Built on a culture of excellence, the School is renowned for its high academic
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School of Electrical and Electronic Engineering is one of the founding Schools of the Nanyang Technological University. Built on a culture of excellence, the School is renowned for its high academic
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The School of Mechanical and Aerospace Engineering (MAE) is ranked 5th in the world (QS Subject ranking 2021) and boasts well-established industry partnerships with prominent companies such as Rolls
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The Institute for Digital Analytics and Science, IDMxS, is a unique interdisciplinary Singapore Research Center of Excellence (RCE) funded by the Singapore Ministry of Education, Nanyang
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Engineering, Computer Science, Applied Mathematics or equivalent. Strong background in machine learning, convex optimization, or distributed systems. Prior experience in federated learning, edge computing