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加州大学圣克鲁兹分校
UC Santa Cruz is one of America's Public Ivy universities and a member of the prestigious Association of American Universities (AAU). Times Higher Education rated UC Santa Cruz 3rd in the world for research influence (with a citation score of 99.9), tied with Stanford University. UCSC PhD graduates who chose to join academia have taken tenure-track positions at top schools such as UC Berkeley, UC San Diego, MIT, JHU, UNC, WUSTL. UCSC CS is ranked among top 30 (next to Harvard, JHU, UChicago etc.) on csrankings.org in 2020-2021, an objective CS rankings based on top conference publications. Moreover, UCSC CS is rising very rapidly, for instance, four new faculty (including me) are joining UCSC CSE in this upcoming academic year. The department has many leading researchers in the broad area of AI, data science, and systems: Lise Getoor, Marilyn Walker, Manfred Warmuth, Darral Long, Yi Zhang, James Davis, Roberto Manduchi, Luca de Alfaro, Chen Qian, Yang Liu, Peter Alvaro, Cihang Xie, Jeffrey Flanigan ... just to name a few. 
Location wise, UCSC's proximity to Silicon Valley (around 30-min driving) and satellite campus there, make industrial collaborations, startups, exchange of ideas, and internships very easy. UCSC has one of the most beautiful and unique campuses in the world and perfect weather year-round. Santa Cruz is also a wonderful place for outdoor activities such as hiking, surfing, diving, kayaking, and golfing.
导师简介
Xin (Eric) Wang is an Assistant Professor of Computer Science and Engineering at UC Santa Cruz. His research interests include Natural Language Processing, Computer Vision, and Machine Learning, with an emphasis on building embodied AI agents that can communicate with humans using natural language to perform real-world multimodal tasks. He obtained his Ph.D. degree from UC Santa Barbara and Bachelor's degree from Zhejiang University. He also worked at Google AI, Facebook AI Research, Microsoft Research, and Adobe Research.
Xin has served as Area Chair for ACL, NAACL, EMNLP, etc., and Senior Program Committee (SPC) for AAAI and IJCAI. He organized multiple workshops and tutorials at CVPR, ICCV, ACL, NAACL, AACL, etc. He received the CVPR Best Student Paper Award in 2019.
Xin is also professionally active and has organized multiple academic events on the topic of his research including workshops at ACL 2020, CVPR 2020, and ICCV 2019, and a tutorial at AACL-IJCNLP 2020. He has served as Area Chair for ACL, NAACL, EMNLP, etc. And Senior Program Committee (SPC) for AAAI and IJCAI.
Website:
https://eric-xw.github.io/
研究方向
My research interests include Natural Language Processing, Computer Vision, and Machine Learning, with an emphasis on building embodied AI agents that can communicate with humans using natural language to perform real-world tasks. You may want to read my research statement to get a better idea (though it might be slightly dated).
1. Natural Language Processing (natural language grounding, knowledge-based reasoning, multilingual understanding);
2. Computer Vision (vision and language, visual navigation and robotics, activity understanding in videos);
3. Machine Learning (deep learning, self-supervised learning, reinforcement learning, multimodal machine learning).
招生要求
I have four primary requirements for my PhD students. First of all, self-motivated: students must be curious about research and self-motivated to overcome obstacles when researching new findings.
Second, students need to be mathematically mature (i.e., proficient and comfortable with probability theory, statistics, linear algebra, optimization, and calculus). One way to test yourself is to carefully go through some of the best ML papers published at recent ICML/NIPS/AAAI/IJCAI conferences, and see if you can fully understand the main equations in those papers.
Third, I require my students to be proficient in programming: they should have expertise in one or more programming languages such as Python, C, C++, Java. The ability of prototyping ideas quickly is often a big plus.
Last and probably the most important: hard-working and reliable. No matter how smart you are and what fields you are in, if you don't spend enough time on your work, there is no way you can be an expert. An observation from the most successful PhD students is that they are all reliable and work extremely hard.
In summary, if you are a hard-working, reliable person who is passionate about advancing AI and solid in Math and programming, please consider applying to UCSC.
福利待遇
1. Full financial support including complete tuition waiver, monthly stipend, health insurance, and summer salary.
2. World-class research environment comprising innovative research ideas for top-tier conferences (e.g., ACL/EMNLP/NAACL, CVPR/ICCV/ECCV, and NeurIPS/AAAI/ICLR), and large-scale computational resources.
3. First-hand research guidance from me during weekly 1-1 meetings, as well as a collabrative and friendly group environment where periodical social events will be organized to unit group members together.
4. Potential internship opportunities in top research labs in the industry including (but not limited to) Google AI, Microsoft Research, Facebook AI Research, Adobe Research, Amazon, Nvidia etc. My personal contact (see my previous employment) and UCSC's proximity to Silicon Valley make the industrial collaboration very easy.
申请方式
If interested please send your resume and representative works to [email protected]
Application details:
https://grad.soe.ucsc.edu/admissions
Deadline: January 10, 2022
其他常见问题以及如何联系请参见:
https://eric-xw.github.io/hiring.html

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