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Stevens Institute of Technology全奖博士

全局:
招生
学校名称: Stevens Institute of Technology
专业: CompEng
入学年度: 2022
入学学期: Fall
导师个人主页: https://personal.stevens.edu/~hliu77/

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本帖最后由 yangnirinny 于 2022-1-28 11:55 编辑

Dr. Hang Liu’s group (http://personal.stevens.edu/~hliu77/) from Stevens Institute of Technology has multiple Ph.D. position openings now. The research interests of his group include building/leveraging new hardware for machine learning and graph computing (i.e., data science in general), high-performance distributed computing and big data. Students with solid backgrounds, e.g., programming skills and GPA, are welcome to contact him at hliu77@stevens.edu. Please include your CV and transcript. Full scholarship with competitive stipends will be provided.  
Dr. Liu's group has published an array of papers in top CS/CE conferences, such as SC, HPDC, SIGMOD, VLDB, ICDE, USENIX ATC, USENIX FAST, IJCAI, EMNLP, and DAC. With tireless devotion to student education, Dr. Liu has developed abundant practical experience about how to cultivate students. Notably, one of his research experience slides has been widely appreciated due to the practical implications (https://github.com/asherliu/researchHOWTO). As a bonus point, all Ph.D. students at Dr. Liu's group get internship opportunities from the leading national laboratories and technological companies.

Stevens Institute of Technology (https://www.stevens.edu/) is one of the oldest technological universities in the United States, which constantly claims the top ranks across various university ranking organizations. In recent years, Stevens has invested enormously in faculty recruitment and campus modernization which will further propel the position of this prestigious institute. Another particular feature we want to underscore is that Stevens is proudly located at the bank of the Hudson River, just minutes away from the great New York City. Studying and living at Stevens will promise you unparalleled access to great opportunities!




上一篇:香港中文大学(深圳)博士招生(数据管理、数据挖掘、人工智能等方向)
下一篇:加拿大McMaster University Data Sience Lab 招全奖CS PhD

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