The Department of Mechanical Engineering at the University of Nevada Reno (UNR) invites application for multiple Ph.D. 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 Ph.D. students.
The students will work with Dr. Jun Zhang (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, and representative publications (if applicable) to Dr. Zhang at firstname.lastname@example.org. 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 Ph.D. program can be found at: https://www.unr.edu/me/graduate-program/phd#admissions. Reno is on the eastern slope of the Sierra Nevada Mountains, and is recognized as a world class outdoor recreational area. It is 45 minutes from Lake Tahoe and 4 hours from San Francisco. Several famous winter resorts and hundreds of hiking and mountain biking trails surround the area. Yosemite National Park, the Black Rock Desert, Sacramento and Napa/Sonoma are all within driving distance. The Reno metropolitan area has a population of 425,000, and is served by an international airport.
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.