注册一亩三分地论坛,查看更多干货!
您需要 登录 才可以下载或查看附件。没有帐号?注册账号 
x
Dr. Kaixiang Zhang现诚招博士研究生,研究方向涵盖机器人、控制、感知、人工智能,以及相关技术在农业机器人等中的应用,欢迎有志于前沿研究的同学加入课题组。入学时间:2027 Spring 或 2027 Fall。
个人主页:https://kaixiang-zhang91.github.io/
Two Ph.D. assistantships are available starting in Spring or Fall 2027 in the Department of Mechanical Engineering at the University of Arkansas, Fayetteville. Under the supervision of Dr. Kaixiang Zhang, Ph.D. students will conduct independent and innovative research in robotics and automation, with research opportunities spanning control, perception, artificial intelligence, and their applications in areas such as agricultural robotics and intelligent systems. The assistantship package includes a monthly stipend, tuition support, and benefits.
Minimum Qualifications
- B.S. or M.S. degree in Mechanical Engineering, Electrical Engineering, Agricultural Engineering, Computer Engineering, or a closely related field.
- English proficiency meeting the university’s admission requirements (e.g., TOEFL: 79+ or IELTS: 6.5+, as applicable).
Preferred Qualifications
- Experience with ROS, Python/C++/MATLAB, electronics, or mechanical design.
- Research experience in robotics, control, computer vision, machine learning, or related areas.
- Publications in relevant peer-reviewed conferences or journals are a plus.
About the University of Arkansas
The University of Arkansas is the flagship institution of the University of Arkansas System and a Carnegie R1 research university. Located in Fayetteville, the university is part of the rapidly growing Northwest Arkansas region, home to major companies including Walmart, Sam’s Club, Tyson Foods, and J.B. Hunt, offering excellent opportunities for research collaboration and career development.
How to Apply
Interested applicants are encouraged to email Dr. Zhang kaixiangzhang91@gmail.com with a current CV and a brief summary of your qualifications. Please use the subject line: Ph.D. Application-[Your Name]-2027. Selected candidates will be invited for online interviews. |