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

2023-09-13 04:09

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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 ([email protected]) 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.