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博士申请 | 乔治华盛顿大学曹卫东老师招收机器学习方向全奖博士生

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2024-08-23

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George Washington University

The George Washington University is a high-reputation private school situated in the nation's capital, Washington, D.C., which belongs to the big triangle region of D.C., Maryland, and Virginia (DMV). GWU is also a member of the prestigious Association of American Universities (AAU).


The surrounding area boasts a pleasant climate with four distinct seasons and diverse cultures and is filled with various attractions and prominent scientific organizations. While the federal government remains a significant presence in the region, the tech industry (e.g., Amazon) is also flourishing rapidly. There are also many universities nearby, such as UMD and JHU. Overall, it is a very good place with plenty of opportunities for industry/academic jobs, as well as a colorful life.

导师简介

Weidong Cao is an assistant professor in the Department of Electrical and Computer Engineering, The George Washington University. His research interests focus on machine learning and quantum computing, across the fields of VLSI, computer architecture, electronic design automation, and hardware security. He has published multiple high-impact papers including Nature Nanotechnology, Nature Scientific Reports, ICLR, ISCA, and so on. His work has been recognized by multiple best paper nominations/awardees from top-tier conferences such as DAC, DATE, and ISLPED, received outstanding doctoral dissertation nomination/awardee from WashU/ACM SIGDA/EDAA, and reported by well-known social media (e.g., MIT Technology Review). He also has close connections to industry research, such as TSMC Corporate Research, Meta Reality Lab, and Mitsubishi Electric Research Laboratories.


个人主页:

https://sites.google.com/view/chalvescao/home

招生信息

I plan to hire multiple Ph.D. students with an anticipated start date of Spring 2024. Candidates are expected to have a background in one or more of the following areas: machine learning, very large-scale integrated circuit (VLSI) design, computer architecture (e.g., in/near-memory computing, in/near-sensor computing), quantum physics, information theory, and signal processing. I am a big fan of interdisciplinary research.


Therefore, excellent candidates not in these fields are also encouraged to contact me if you are interested in exploring new areas beyond your current experiences.

关于课题组

I encourage: 1) open-minded discussions and communications with full freedom; 2) close collaborations among group members, different universities, and leading tech companies; 3) customized mentoring according to each student's background with full understanding, inclusiveness, and equal treatment; 4) mutual respect and mutual learning between mentor and advisee; 5) research with high impact rather than high quantity.

申请方式

If you are interested in working with me, send your applications to (weidong.cao@gwu.edu) with a CV including your GPA, TOEFL, and GRE. I suggest using "Name-Application for xxx Position" as the email subject such that I can quickly capture your email, where 'xxx' could be 'intern', 'master', or 'Ph.D.', according to your intention.







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高校招生

香港科技大学(广州)伍楷舜教授西湖大学机器智能实验室墨尔本大学Olya Ohrimenko教授香港科技大学统计机器学习实验室华为云-香港中文大学(深圳)香港城市大学多尺度自动化与机器人实验室北京大学可视化与可视分析实验室佛罗里达大学邵尉老师香港理工大学张晓革老师新加坡国立大学张君宇老师新加坡科技设计大学刘俊老师香港中文大学(深圳)马晨昊老师香港科技大学李烁辉老师阿卜杜拉国王科技大学王帝老师加州大学戴维斯分校石云鹏老师英属哥伦⽐亚⼤学⼯程学院香港中文大学陈玥老师香港理工大学伍淦鸿老师南方科技大学石溪大学刘毅老师清华大学交互式人工智能课题组中科院香港创新研究院香港理工大学MIND实验室中科院视频内容安全团队佛罗里达州立大学王广老师西湖大学蓝振忠实验室南洋理工大学张书豪老师新加坡国立大学吴喆老师北京大学卢宗青老师芝加哥大学李恬老师香港中文大学(深圳)刘桂良老师佐治亚大学卢琴老师昆山杜克大学-香港科技大学新加坡科技设计大学段凌杰教授招


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