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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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work on a project to conduct research for human robotic teaming, in particular: Perform optimization on complex system subject to various constraints. Design and develop real-time algorithms. Simulate
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Bachelor’s or Master’s degree with relevant background and knowledge in civil engineering, mechanical engineering, architecture, computer engineering, or a related discipline. 2. Proficiency with 3D BIM
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highly considered. Solid understanding of machine learning/deep learning fundamentals. Able to appreciate and explain the mathematical workings of common algorithms for computer vision/NLP/tabular data
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. The position will focus on developing and optimizing control algorithms for exoskeleton robotic systems, aimed at improving human mobility and assisting individuals for lifestyle physical activities. The ideal
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to the applications of mathematics in cryptography, computing, business, and finance. PAP covers many areas of fundamental and applied physics, including quantum information, condensed matter physics, biophysics, and
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fusion, and ROS2 implementation. Key Responsibilities: Design and implement real-time radar-inertial odometry algorithms. Extract ego-motion estimation from 4D radar and fuse with IMU data. Evaluate
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The position of Postdoctoral Fellow - with an emphasis on computational cancer genomics - is immediately available at the Cancer Science Institute of Singapore (a part of National University
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-of-the-art and innovative models and algorithms to improve port and shipping management efficiency; Propose solutions based on data analytics and operations research to address maritime practical problems
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Project Officer will be mainly responsible to process tunneling data and analyze the data using machine learning algorithms. The position involves in conducting research, supervising undergraduate students