1) Demonstrated proficiency in the design, development, integration, and troubleshooting of microcontroller-based sensing, instrumentation, automation, and control systems, 2) proficiency in rapid prototyping and fabrication, including 3D printing, CAD design, and operation of machine shop tools and equipment, 3) strong analytical and quantitative skills, including experience applying statistical methods, multivariate analysis, and machine learning techniques to research data, 4) proficiency in programming using Python and MATLAB for data analysis, automation, modeling, and system development, 5) knowledge of machine vision, robotics, autonomous systems, GPS/GNSS technologies, and precision agriculture applications is highly desirable, 6) ability to design, conduct, and document laboratory and field experiments, 7) ability to load/unload heavy equipment and haul a trailer to a long distance, 8) ability to operate machines to fabricate mechanical parts and prototyping materials, 9) ability to troubleshoot mechanical/electrical problems in field, 10) strong written and verbal communication skills, with the ability to prepare technical reports, scientific publications, presentations, and training materials, and 11) ability to work effectively both independently and collaboratively in multidisciplinary research teams. 1) Experience on designing and integrating robotic, autonomous, or mechatronic systems for agricultural applications, 2) experience on developing software for embedded systems, robotics, machine vision, data acquisition, or autonomous control using Python, C/C++, MATLAB, ROS/ROS2, or similar platforms, 3) experience on applying machine learning, artificial intelligence, computer vision, or sensor fusion techniques to agricultural applications, 4) experience on managing or contributing to externally funded research projects, including project planning, progress reporting, and coordination of research activities, 5)experience on publishing peer-reviewed journal articles, conference proceedings, and technical reports, 6) experience on presenting technical information to diverse audiences, 7) experience mentoring, supervising, or training undergraduate students, graduate students, or technical personnel in laboratory and field research activities, 8) experience conducting agricultural field experiments involving crop production, agricultural machinery, precision agriculture technologies, or automated farming systems, and 9) demonstrated ability to work independently and contribute effectively within multidisciplinary research teams.