The Undergraduate Research Assistant will work under the supervision of Dr. Ke Yang and assist with research projects in intelligent engineering systems, autonomous technologies, reliability engineering, and artificial intelligence. Students will participate in hands-on research activities, data analysis, experimental validation, and technical documentation.
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Job Type
Part-time
Career Level
Intern
Education Level
No Education Listed