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YYMater4033新蟲(chóng) (初入文壇)
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美國(guó)中佛羅里達(dá)大學(xué)機(jī)械與航空航天工程系Dazhong Wu課題組招收全獎(jiǎng)博士生和博士后
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中佛羅里達(dá)大學(xué)（UCF）機(jī)械與航空航天工程系Dazhong Wu課題組招收多名全獎(jiǎng)博士生和博士后學(xué)者。目前佛州已經(jīng)開(kāi)放對(duì)于在中國(guó)境內(nèi)的學(xué)生和博士后的招聘，誠(chéng)邀有意向者申請(qǐng)。入學(xué)或博士后開(kāi)始時(shí)間為2026年秋季。課題組的研究方向主要為開(kāi)發(fā)用于增材制造、材料設(shè)計(jì)和可靠性工程的新型計(jì)算方法。主要研究方向包括： 1.基于機(jī)器學(xué)習(xí)的智能制造； 2.增材制造； 3.預(yù)后與健康監(jiān)測(cè)； 4.仿生材料設(shè)計(jì)。 歡迎有增材制造、機(jī)器學(xué)習(xí)以及 Python 編程相關(guān)背景的有意向的同學(xué)申請(qǐng)。想要了解更多信息可以訪問(wèn)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/ 課題組誠(chéng)邀在機(jī)械工程，航天工程，計(jì)算機(jī)科學(xué)，或者電子工程專業(yè)獲得學(xué)士或碩士學(xué)位的同學(xué)申請(qǐng)。感興趣加入的同學(xué)請(qǐng)先發(fā)送電子郵件至 Dr. Dazhong Wu（Dazhong.Wu@ucf.edu），郵件主題注明“PhD Application”或“Postdoc Application”，并隨信附上個(gè)人簡(jiǎn)歷（CV/Resume）和成績(jī)單。申請(qǐng)將即刻開(kāi)始評(píng)審，直至職位招滿為止。 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于佐治亞理工學(xué)院獲得機(jī)械工程博士學(xué)位。他已發(fā)表70余篇期刊論文，總引用次數(shù)超過(guò)10,500次。他的論文分別于2019年和2021年榮獲《Journal of Manufacturing Systems》最佳論文獎(jiǎng)。他被斯坦福大學(xué)評(píng)為全球前2%高被引科學(xué)家之一，并被《Smart Manufacturing Magazine》評(píng)選為智能制造領(lǐng)域最具影響力的教授之一。他現(xiàn)擔(dān)任《Journal of Manufacturing Systems》、《Journal of Intelligent Manufacturing》以及《IEEE Transactions on Industrial Informatics》期刊的副主編。 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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