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go_chuck鐵蟲(chóng) (小有名氣)
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[交流]
密西西比大學(xué)誠(chéng)招全獎(jiǎng)博士-自動(dòng)化，強(qiáng)化學(xué)習(xí)，機(jī)器人
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PhD Position opening in autonomous systems, reinforcement learning, numerical optimization, and robotics. The autonomous systems lab in department of aerospace engineering at Mississippi State University is seeking to recruit a fully funded PhD student in Spring/Fall 2022. We are in general interested in the design, analysis, and verification of scalable and safe autonomous systems, with application in robotics and aerospace systems. Our works focus on the intersection of control theory, numerical optimization, and machine learning. Specific areas include 1) Decision making under uncertainty, 2) Scalable, robust and safe autonomy 3) Reinforcement learning, 4) Numerical optimization and 5) Multi-agent systems. More info can be found at our website https://lnkd.in/eWZ4Uz7j About the PI. Dr. Chuangchuang Sun is an assistant professor in the aerospace engineering department since August 2021. Prior to that, he was a postdoctoral associate in the department of aeronautics and astronautics at MIT. He received his Ph.D. in August 2018 from the Ohio State University and a B.S. degree from the Beihang University, China in 2013, both in Aerospace Engineering. His work has been published on top journals and conferences in the areas of Control/optimization, robotics, machine learning, including, Automatica, SIAM journal on control and optimization, Transactions on Robotics, Transactions on Control of Network Systems, Journal of Guidance, Control, and Dynamics, International Conference on Machine Learning, ICRA/IROS, CDC/ACC. About the University/Department. Mississippi State is classified as "R1: Doctoral Universities – Very high research activity" in the Carnegie Classification of Institutions of Higher Education as of the 2019 update. The PI/department work closely with Raspet Flight Research Laboratory, the Center for Advanced Vehicular Systems and the High Performance Computing Collaboratory. MSU is the lead organization for the Federal Aviation Administration (FAA) center of excellence known as the Alliance for System Safety of UAS through Research Excellence. In alliance with Raspet, the PI has access to the Autonomous Systems Research Laboratory, an indoor arena for experimentation involving autonomous aerial and ground mobile agents. Requirements. Candidates should have background in control, numerical optimization, reinforcement learning and robotics. Strong programming skills and mathematical background are encouraged. A master’s degree is a plus. Contact. Interested candidates should apply through MSU’s graduate school (https://www.grad.msstate.edu); Check the required tests there. The deadline for Spring admission is October 1st. Please also send a copy of your CV, transcripts, statements to Dr. Sun at csun@ae.msstate.edu. |
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