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美国中佛罗里达大学机械与航空航天工程系Dazhong Wu课题组招收全奖博士生和博士后
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中佛罗里达大学（UCF）机械与航空航天工程系Dazhong Wu课题组招收多名全奖博士生和博士后学者。目前佛州已经开放对于在中国境内的学生和博士后的招聘，诚邀有意向者申请。入学或博士后开始时间为2026年秋季。课题组的研究方向主要为开发用于增材制造、材料设计和可靠性工程的新型计算方法。主要研究方向包括： 1.基于机器学习的智能制造； 2.增材制造； 3.预后与健康监测； 4.仿生材料设计。 欢迎有增材制造、机器学习以及 Python 编程相关背景的有意向的同学申请。想要了解更多信息可以访问https://mae.ucf.edu/dazhongwu/ The Additive Manufacturing and Intelligent Systems Laboratory in the Department of Mechanical and Aerospace Engineering at the University of Central Florida (UCF), led by Prof. Dazhong Wu, has multiple openings for PhD students and postdoctoral fellows in Fall 2026. The focus of this lab is to develop new computational methods for additive manufacturing, materials design, and reliability engineering. Example research thrust areas include (1) machine learning-assisted smart manufacturing; (2) additive manufacturing; (3) prognostics and health monitoring; and (4) bioinspired materials design. Desired skills/experiences include additive manufacturing, machine learning, and Python programming. More details about the lab can be found via this link: https://mae.ucf.edu/dazhongwu/ 课题组诚邀在机械工程，航天工程，计算机科学，或者电子工程专业获得学士或硕士学位的同学申请。感兴趣加入的同学请先发送电子邮件至 Dr. Dazhong Wu（Dazhong.Wu@ucf.edu），邮件主题注明“PhD Application”或“Postdoc Application”，并随信附上个人简历（CV/Resume）和成绩单。申请将即刻开始评审，直至职位招满为止。 Ideal candidates are expected to have an earned B.S. or M.S. degree with a GPA of 3.5 or above in Mechanical Engineering, Aerospace Engineering, Computer Science, or Electrical Engineering. Interested individuals should first send an email to Dr. Dazhong Wu at Dazhong.Wu@ucf.edu with the subject line “PhD Application” or “Postdoc Application” along with a CV/resume and transcripts. Review of applications will start immediately and continue until the positions are filled. Prof. Wu于佐治亚理工学院获得机械工程博士学位。他已发表70余篇期刊论文，总引用次数超过10,500次。他的论文分别于2019年和2021年荣获《Journal of Manufacturing Systems》最佳论文奖。他被斯坦福大学评为全球前2%高被引科学家之一，并被《Smart Manufacturing Magazine》评选为智能制造领域最具影响力的教授之一。他现担任《Journal of Manufacturing Systems》、《Journal of Intelligent Manufacturing》以及《IEEE Transactions on Industrial Informatics》期刊的副主编。 Prof. Wu earned his Ph.D. in Mechanical Engineering from Georgia Tech. He has published over 70 journal articles with over 10500 citations. He received the Journal of Manufacturing Systems Best Paper Award in 2019 and 2021. He is ranked as one of Top 2% most-cited scientists by Stanford University. He was selected as one of the Most Influential Professors in Smart Manufacturing by the Smart Manufacturing Magazine. He serves as an Associate Editor for the Journal of Manufacturing Systems, Journal of Intelligent Manufacturing, and IEEE Transactions on Industrial Informatics. |
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