弗吉尼亚大学计算机系2025博士招生
11922
招生计划：
- 名额：1～2 PhD
- 入学时间：2025秋季
- 研究领域：复杂网络上的机器学习 （machine learning on complex networks）、数据科学（data science）及其在流行病学（epidemiology）、医疗保健（healthcare）和生物学（biology）中的应用
- 学生背景要求：对科研有自驱力和热情，具备良好的数学和编程能力
关于我：
我目前是弗吉尼亚大学（UVA）计算机科学系的助理教授。在此之前，我曾在弗吉尼亚大学Biocomplexity Institute担任研究助理教授，并曾在谷歌做过软件工程师。我于 2019 年从亚利桑那州立大学（Arizona State University）获得计算机科学博士学位， 师从 Hanghang Tong教授。我的主要研究方向是数据科学、机器学习和人工智能在不同领域中的应用，在顶级会议（包括 KDD、NeurIPS、ICLR、AAAI、IJCAI、AAMAS、WSDM、SIGIR、ICDM、CIKM 和 SDM）和知名期刊（包括 PNAS、ACM CSUR、IEEE TKDE、ACM TKDD、SIAM SAM 和 Epidemics）上均有发表。此外还曾获得过KDD 和 SDM 的两项最佳论文提名以及电气工程和计算机科学的“EECS Rising Star”。（个人主页：chenannie45.github.io）
申请方式：
如果您对该职位感兴趣，请通过邮箱 1point3acres.com 联系我，并在邮件中附上您的简历、成绩单、托福/GRE 成绩以及任何能够证明您研究能力的材料。邮件标题请用“PhD_application_”。有关 UVA 计算机科学博士项目的更多信息，请访问此链接 engineering.virginia.edu，并通过申请门户 applycentral.virginia.edu 进行申请。
Dr. Chen Chen from the Department of Computer Science, University of Virginia is looking for 1~2 self-motivated PhD students starting at Fall 2025 who is interested in machine learning on complex networks, data science and their applications on epidemiology, healthcare and biology.
About me:
I am currently a first-year tenure-track Assistant Professor in the Department of Computer Sciences at University of Virginia (UVA). Before that, I was a Research Assistant Professor at Biocomplexity Institute, and a software engineer at Google. I received my Ph.D. in Computer Science at Arizona State University under the supervision of Professor Hanghang Tong in 2019. My primary research focuses on data science, machine learning, and the broader realm of AI. My research has appeared in top-tier conferences (including KDD, NeurIPS, ICLR, AAAI, IJCAI, AAMAS, WSDM, SIGIR, ICDM, CIKM, and SDM), and prestigious journals (including PNAS, ACM CSUR, IEEE TKDE, ACM TKDD, SIAM SAM and Epidemics). I have received multiple prestigious awards based on my research, including Two Best Paper Nominations for KDD and SDM. Additionally, I was selected as a Rising Star in Electrical Engineering and Computer Science (EECS Rising Star). (For more information, please check my personal website chenannie45.github.io)
How to apply:
Students from Computer Science, Electrical Engineering, Statistics, Mathematics or other related disciplines are encouraged to apply. The candidate should be self-motivated and have strong passion in pursuing high-quality research. Candidates are expected to have good mathematical and programming skills.
If you are interested in this position, please feel free to email me at 1point3acres.com and attack your CV, transcripts TOEFL/GRE scores and anything that can justify your research capability. Please kindly start your email’s subject line with “PhD_application_”. For more information about the PhD program in Computer Science at UVA, you may follow this link engineering.virginia.edu and apply through the portal applycentral.virginia.edu
- 名额：1～2 PhD
- 入学时间：2025秋季
- 研究领域：复杂网络上的机器学习 （machine learning on complex networks）、数据科学（data science）及其在流行病学（epidemiology）、医疗保健（healthcare）和生物学（biology）中的应用
- 学生背景要求：对科研有自驱力和热情，具备良好的数学和编程能力
关于我：
我目前是弗吉尼亚大学（UVA）计算机科学系的助理教授。在此之前，我曾在弗吉尼亚大学Biocomplexity Institute担任研究助理教授，并曾在谷歌做过软件工程师。我于 2019 年从亚利桑那州立大学（Arizona State University）获得计算机科学博士学位， 师从 Hanghang Tong教授。我的主要研究方向是数据科学、机器学习和人工智能在不同领域中的应用，在顶级会议（包括 KDD、NeurIPS、ICLR、AAAI、IJCAI、AAMAS、WSDM、SIGIR、ICDM、CIKM 和 SDM）和知名期刊（包括 PNAS、ACM CSUR、IEEE TKDE、ACM TKDD、SIAM SAM 和 Epidemics）上均有发表。此外还曾获得过KDD 和 SDM 的两项最佳论文提名以及电气工程和计算机科学的“EECS Rising Star”。（个人主页：chenannie45.github.io）
申请方式：
如果您对该职位感兴趣，请通过邮箱 1point3acres.com 联系我，并在邮件中附上您的简历、成绩单、托福/GRE 成绩以及任何能够证明您研究能力的材料。邮件标题请用“PhD_application_
Dr. Chen Chen from the Department of Computer Science, University of Virginia is looking for 1~2 self-motivated PhD students starting at Fall 2025 who is interested in machine learning on complex networks, data science and their applications on epidemiology, healthcare and biology.
About me:
I am currently a first-year tenure-track Assistant Professor in the Department of Computer Sciences at University of Virginia (UVA). Before that, I was a Research Assistant Professor at Biocomplexity Institute, and a software engineer at Google. I received my Ph.D. in Computer Science at Arizona State University under the supervision of Professor Hanghang Tong in 2019. My primary research focuses on data science, machine learning, and the broader realm of AI. My research has appeared in top-tier conferences (including KDD, NeurIPS, ICLR, AAAI, IJCAI, AAMAS, WSDM, SIGIR, ICDM, CIKM, and SDM), and prestigious journals (including PNAS, ACM CSUR, IEEE TKDE, ACM TKDD, SIAM SAM and Epidemics). I have received multiple prestigious awards based on my research, including Two Best Paper Nominations for KDD and SDM. Additionally, I was selected as a Rising Star in Electrical Engineering and Computer Science (EECS Rising Star). (For more information, please check my personal website chenannie45.github.io)
How to apply:
Students from Computer Science, Electrical Engineering, Statistics, Mathematics or other related disciplines are encouraged to apply. The candidate should be self-motivated and have strong passion in pursuing high-quality research. Candidates are expected to have good mathematical and programming skills.
If you are interested in this position, please feel free to email me at 1point3acres.com and attack your CV, transcripts TOEFL/GRE scores and anything that can justify your research capability. Please kindly start your email’s subject line with “PhD_application_
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