[教授本人贴]美国伊利诺伊芝加哥分校（UIC）计算机系招收全奖博士生多名

【招生】伊利诺伊芝加哥分校（UIC）- 计算机系 - 博士/硕士/实习生 - 负责任人工智能/数据挖掘/因果机器学习/社交媒体挖掘 (2022秋，2023春/秋)

伊利诺伊大学芝加哥分校（the University of Illinois at Chicago，简称UIC），由原伊利诺伊大学医学中心与位于芝加哥的分校于1982年合并而成，是美国国家资助的公立研究型大学以及伊利诺伊大学系统的第二个成员，实力仅次于伊利诺伊大学厄巴纳-香槟分校；同时，该校也是由卡内基基金会评选的88所研究型一类美国大学以及全美最大的10所大学之一。作为伊利诺伊大学系统三所分校之一，UIC位于美国伊利诺伊州芝加哥市中心， 是一所著名的公立研究型大学。同时也是芝加哥地区规模最大、综合实力最强的公立大学。学校共分为东、西、南三个校区。计算机系位于东校区，也是最安全的校区。UIC计算机系2022年US News全美排名60。芝加哥具有优越的海滨地理环境以及许多高档餐饮场所。芝加哥市中心是芝加哥最重要的区域，也是该城市聚集金融、文化、政府和商业机构的中心。

UIC计算机系是一个以研究为主的院系，目前招收多名博士生。所有录取博士均有奖学金（TA/RA）支持。在Ph.D. 前两年，所有学生都有TA机会，不需要导师funding支持，可以自由选择导师。UIC计算机系在数据挖掘和自然语言处理领域都有非常好的成就。

关于我个人信息，就用英文了。

Fully funded Ph.D. positions are available in Dr. Lu Cheng's lab (http://www.public.asu.edu/~lcheng35/), in the Department of Computer Science at the University of Illinois at Chicago. The main research direction will be socially responsible AI (fairness, interpretability/explainability, privacy, robustness, domain generalization), causal machine learning, and social media mining. Highly motivated master's students/undergraduate/interns are also very welcome to work with me.

Dr. Lu Cheng received her Ph.D. degree in Computer Science at Arizona State University (ASU) in 2022 advised by Dr. Huan Liu, M.Eng. degree in Industrial Engineering at Rensselaer Polytechnique Institute (RPI), and B.Eng. degree in Industrial Engineering at Huazhong University of Science & Technology (HUST). Her research interests are broadly in data mining and machine learning, with a particular focus on socially responsible AI, social computing, causal machine learning, and AI for social good. Lu is the web chair of WSDM'22 and a senior program committee member of AAAI'22. She was the recipient of the 2021 ASU Engineering Dean's Dissertation Award, 2020 ASU Graduate Outstanding Research Award, 2021 and 2022 ASU CIDSE Doctoral Fellowship, 2022 SDM Best Poster Award, 2019 ASU Grace Hopper Celebration Scholarship, IBM Ph.D. Social Good Fellowship, Visa Research Scholarship, and various Student Travel Awards and Scholarships. More information can be found at http://www.public.asu.edu/ lcheng35/.

Requirement:

• A bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or related fields.
• Experience in at least one major programming language. Capabilities and willingness to learn new programming languages.
• Enthusiasm for doing research.
• Students who are interested in joining my lab as Ph.D. students in Fall 2022 need to be US-based (Not applied to other semesters).
  

Application Process:
Please send your CV and transcript to lucheng.recuit@gmail.com.

由于最近deadline比较多，回复邮件可能比较慢，望见谅！

donnice 发表于 2022-5-4 12:12
给年少有为的教授点个赞

谢谢你！

statsPhD 发表于 2022-5-5 11:58
楼主很赞！很棒很棒！问个不相关的问题，UIC工学院的CS 和数学统计系的CS是一个什么关系呢？

一个面向理工／应用的ｃｓ，另外个是全数学理论的ｃｓ。

给年少有为的教授点个赞

给老师发邮件了，chi****@gwu.edu，谢谢老师

给老师发邮件啦，chi0528@gwu.edu，感谢老师分享

支持一个！

棒！咱们系的ML/AI这一块又更强了！

看老师的主页，对老师的方向很感兴趣，尤其是Trustworthy AI，也给老师发邮件啦 caroline.***@gmail.com, 希望收到老师的回复，谢谢

Cheng老师您好，简历发到您的邮箱了

楼主很赞！很棒很棒！问个不相关的问题，UIC工学院的CS 和数学统计系的CS是一个什么关系呢？