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seufeng1979

木虫 (著名写手)

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专业: 机构学与机器人

[交流] 美国内华达大学雷诺分校机械系招聘机器人及控制方向全奖博士及访问学生学者已有1人参与

美国内华达大学雷诺分校机械系招聘机器人及控制方向全奖博士及访问学生学者

PhD and Visiting Positions in Robotics and Control at the University of Nevada Reno

The Department of Mechanical Engineering at the University of Nevada Reno (UNR) invites application for multiple PhD and visiting student/scholar positions in areas of robotics and control starting in 2019 Spring or 2019 Fall. Fully financial support of Research Assistantship ($1,900/month) will be provided for PhD students.

The students will work with Dr. Jun Zhang (https://jzhang.eng.ucsd.edu/), who will join UNR in 2018 Fall. Successful candidates should be highly self-motivated to pursue independent and interdisciplinary research. Background in one or more of the following areas is desirable: controls, robotics, smart materials, and artificial muscles. Hands-on experience with 3D printing, sensors, actuators, and micro-controllers is a plus. Please send your CV, transcripts, GRE/TOEFL scores, and representative publications (if applicable) to Dr. Zhang at j5zhang@ucsd.edu. Please also describe how your research interests/experiences align with my works. Details of UNR’s mechanical engineering department are provided at: https://www.unr.edu/me. Formal admissions requirements for the UNR PhD program can be found at: https://www.unr.edu/me/graduate-program/phd#admissions.

About Dr. Jun Zhang
Dr. Zhang will join the Department of Mechanical Engineering at the University of Nevada Reno in 2018 Fall, as an Assistant Professor. He is currently a postdoctoral scholar in the Department of Electrical and Computer Engineering at the University of California, San Diego. He received the B.S. degree in Automation from the University of Science and Technology of China, Hefei, China, in 2011, and the Ph.D. degree in Electrical and Computer Engineering from Michigan State University in 2015. He was the recipient of the Student Best Paper Competition Award at the ASME Conference on Smart Materials, Adaptive Structures, and Intelligent Systems (SMASIS 2012), and the Best Conference Paper in Application Award at the ASME Dynamic Systems and Control Conference (DSCC 2013), and was named the Electrical Engineering Outstanding Graduate Student at Michigan State University for 2014–2015.

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