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本帖最后由 zphgx 于 2023-5-20 23:58 编辑
英属哥伦比亚大学电子计算机工程系 (UBC ECE) Dr. Xiaoxiao Li 课题组 (https://tea.ece.ubc.ca/) 招收人工智能方向全奖生博士生，2024年春季入学，申请截止日期为2023年6月1日，推荐信截止日期为6月15日，不需要GRE成绩，详情请见：https://ece.ubc.ca/graduate/programs/doctoral-program/.
你可以期待收获的：
- 充足的计算资源
- 开放的研究氛围
- 友好和乐于助人的实验室伙伴（希望你也是）
- 丰富的工业界和学术界合作机会
- 舒适的办公环境（对标互联网企业配置）
- 温哥华自带的福利（中餐好吃，环境优美安全，离中国很近）
招生要求:
- 科研态度端正
- 具有扎实的数学、编程基础和较强的英文写作能力
- 学习成绩不太差
- 有科研和竞赛经验者优先考虑，有相关领域论文发表者加分
个人简介：本人博士毕业于耶鲁大学，后于普林斯顿大学 Prof. Kai Li 和 Prof. Olga Troyanskaya 课题组从事博士后研究员，在多个国际会议和期刊发表如 ICML, ICLR, NeurIPS, Nature Methods. 其中多名指导学生获得了耶鲁大学，密西根安娜堡大学，宾夕法尼亚大学的录取，以及毕业就职于 Amazon 和国内顶尖985大学。课题组研究包括但不限于：Trustworthy AI、联邦学习、机器学习算法和优化、AI for Healthcare (e.g., Med Imaging, Med NLP, Drug Discovery, etc.)
请有意向的童鞋发送你的（1）简历及成绩单，（2）研究兴趣和计划，（3）一至两份代表作，如 writing samples 或者已发表的论文，至 xiaoxiao.li@ece.ubc.ca。邮件标题前请加上 [HELLOLI]。谢谢大家的阅读和转发给有需要的同学和朋友 : )
补充内容 (2023-05-23 22:17 +08:00):
学校介绍： 英属哥伦比亚大学（University of British Columbia, UBC），位于加拿大温哥华市，始建于1908年 UBC位居2022软科世界大学学术排名第44名 ，2022THE世界大学排名第37名，2022QS世界大学排名第46名，2022U.S. News世界大学排名第37名。
补充内容 (2023-06-09 12:35 +08:00):
2023.6.9 update: Applications for January 2024 admission are now open, from May 1st to June 15th, 2023. We will continue to accept references, other application documents, and test scores until June 30th, 2023.
补充内容 (2024-12-05 10:53 +08:00):
2024.12.5 update:PhD and Postdoc Opportunities in Trustworthy AI, Foundation Models, Vision-Language Models
The Trusted and Efficient AI Group at the University of British Columbia (UBC), Vancouver,
Canada offers fully-funded positions for PhD/Postdoc starting in Spring/Fall 2025.
About TEA Group and PI:
The TEA Group (https://tea.ece.ubc.ca/) is at the forefront of research in the
field of machine learning, with a focus on advanced AI techniques and
transformative healthcare solutions.
The PI, Dr. Xiaoxiao Li (https://xxlya.github.io/), is an asst. professor of ECE Depart. at
UBC, faculty member at Vector Institute, adjunct asst. professor at Yale University, and
CIFAR AI Chair. TEA Group’s work has been featured in prestigious conferences and
journals, including ICML, ICLR, NeurIPS, CVPR, ECCV, MICCAI, Medical Image Analysis,
IEEE Trans on Medical Imaging, and Nature Methods.
We Offer:
- Opportunities to work on cutting-edge projects in machine learning.
- A supportive and extensive collaboration network with industry leaders such as
Nvidia, Google, Meta, and Microsoft, as well as other esteemed research institutes. - Access to state-of-the-art extensive computing resources.
- A vibrant research environment at UBC and high life-quality in Vancouver.
We Look for Candidates Who:
- Having interest and experience in the topics around Machine Learning, Computer
Vision, Language Modelling, AI Trustworthiness, Optimization, and Healthcare. - Having strong foundations in mathematics, programming, and English writing.
- Being eager to contribute to a collaborative and inclusive research environment.
- Publication in relevant fields will be an added advantage.
Latest Application Process:
Interested candidates should reach out to PI Dr. Xiaoxiao Li (xiaoxiao.li@ece.ubc.ca)
with a detailed CV outlining academic achievements, research experience, coding
samples on Github (if any), and publications (if any). For more details on our graduate
programs, please visit https://ece.ubc.ca/graduate/programs/.
We look forward to receiving your applications and the opportunity to collaborate on
advancing machine learning methods and developing transformative solutions for
healthcare! Please put **[HELLOLI]**, in the beginning of your email subject.
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