美國密蘇里科技大學(xué)(前：密蘇里大學(xué)羅拉校區(qū))計(jì)算機(jī)系 ( cs.mst.edu ) 招收博士生。博士生將獲得Teaching Assistant或者Research Assistant的資助。開始時(shí)間為2018年秋季或2019年春季學(xué)期。我們在數(shù)據(jù)挖掘，時(shí)空數(shù)據(jù)分析，城市計(jì)算，移動(dòng)計(jì)算，推薦系統(tǒng)，商務(wù)智能等研究方向上做著前沿的研究工作。希望有計(jì)算機(jī)，數(shù)學(xué)，自動(dòng)化，電子和其它相關(guān)學(xué)科背景的同學(xué)積極申請。如果感興趣，請將簡歷，成績單(如果有)，通過電子郵件發(fā)送給Prof. Yanjie Fu (fuyan@mst.edu). 如果想了解更多的信息，請?jiān)L問：yanjiefu.com

Dr. Yanjie Fu received his Ph.D. degree in Information Technology from Rutgers, the State University of New Jersey in 2016, the B.E. degree in Computer Science from University of Science and Technology of China in 2008, and the M.E. degree in Computer Engineering from Chinese Academy of Sciences in 2011. He is currently an Assistant Professor at the Missouri University of Science and Technology (University of Missouri-Rolla). His research interests include data mining and big data analytics. He has research experience in industry research labs, such as Microsoft Research Asia, Huawei Research Labs, and IBM Thomas J. Watson Research Center. He has published prolifically in refereed journals and conference proceedings, such as IEEE TKDE, ACM TKDD, IEEE TMC, SIGKDD, AAAI, ICDM, and SDM.

Dr. Fu's general interests are data mining and big data analytics, especially (1) how analytical approaches alleviate information overload, heterogeneity, and asymmetry and (2) what role modeling regulations play in exploring the correlations among big data. His recent research focuses on applying collective learning, heterogeneous information fusion, and spatiotemporal textual mining on big data problems including urban computing, human mobility modeling, wireless intelligence, recommender systems, consumer analytics, and health care.