清华电子系数据科学与智能实验室面向全球诚聘博士后

清华大学电子工程系数据科学与智能实验室发挥电子系信息技术全栈优势，包含人工智能、数据科学、复杂系统等方面的研究基础，凝聚电子系各研究所力量，包括通信所（大数据与系统）、信检所（复杂网络与系统）等。团队现有教师5人，博士后8人，学生50余人。

团队在Nature子刊等顶级国际期刊与NeurIPS、ICLR、KDD、WWW、UbiComp等机器学习、数据挖掘国际会议发表学术论文150余篇，文章引用35000余次，7次获国际会议最佳论文/提名奖，10篇论文入选ESI高被引用论文；团队主持或参与科技部重点研发计划、国家自然科学基金等项目15余项。近年来与华为、腾讯、美团、快手、高德、商汤、丰田以及移动运营商等各类商企也建立了良好的合作关系，各研究课题的研究成果得到了工业界与学术界的广泛认可，相关成果3次荣获国家科技进步二等奖；团队成员获微软学者1人次、电子学会优秀学位论文1人次、中国计算机学会优秀博士论文提名奖2人次、清华大学优秀学位论文10余人次、国家奖学金20余人次，清华大学及北京市优秀毕业生10余人次。

博士后研究方向

World model, Embodied Intelligence, AI Scientist, Urban Science and Computing

合作导师

李勇，博士、清华大学电子工程系长聘教授、博士生导师。长期从事数据科学与人工智能方面的科研工作，承担国家重点研发计划项目、自然科学基金重点项目等20余项，开展人工智能与城市科学的前沿交叉研究，研究成果发表于Nature Computational Science（自然·计算科学）、Nature Machine Intelligence（自然·机器智能）、Nature Cities（自然·城市）、Nature Human Behaviour（自然·人类行为）等综合性期刊，在ACM KDD、NeurIPS、ICLR、WWW等CCF A类会议期刊发表学术论文100余篇，引用34000次，授权专利50余项。先后入选全球“高被引科学家”、获计算机领域重要国际会议ACL、WWW、SIGIR、UbiComp最佳/优秀论文奖7次，30余次担任人工智能领域KDD/WWW/AAAI/IJCAI等国际会议SPC/PC成员与ACM IMWUT、IEEE JSAC/TNSM/CM等国际期刊（客座）编委，获教育部科技进步一等奖、湖北省技术发明一等奖、电子学会科技进步一等奖、IEEE ComSoc亚太区杰出青年学者奖、吴文俊人工智能优秀青年奖等。

 

徐丰力，博士，清华大学电子工程系助理教授、博士生导师。研究兴趣包括数据科学、人工智能、城市科学和网络科学，旨在通过数据驱动和人工智能的方法建模复杂信息系统，重点关注城市环境下群体行为模式的涌现机制。他作为第一作者在PNAS、Nature Human Behaviour、Nature Computational Science等综合性期刊，和NeurIPS、WWW、KDD、Ubicomp等人工智能与复杂网络领域的顶级会议上发表了多篇学术论文，曾获CAAI社会计算新星学者奖、UBICOMP最佳论文提名奖、MSRA Fellowship、清华大学优秀博士毕业生、CCF优秀博士学位论文提名、ACM SIGSPATIAL中国分会优博奖、Mansueto Postdoc Fellowship等学术荣誉。

应聘要求

  1. 具有博士学位，品学兼优，身体健康，年龄在35周岁以下，获得博士学位的年限一般不超过3年；
  2. 具有AI for Science、数据科学、数据挖掘、机器学习、人类行为建模、智能通信与网络等一个或多个领域的研究背景；
  3. 有较强的编程技能和大规模数据挖掘经验者优先考虑；
  4. 具有较强的英文研究论文读写能力；
  5. 工作勤奋、踏实，有团队协作精神。

工资待遇

  1. 薪资、保险等按照国家和清华大学博士后管理办法执行；
  2. 可申请清华博士后公寓或享受住房补贴；
  3. 解决子女入园、入学（义务教育阶段）
  4. 推荐申请各类博士后支持计划，包括博士后创新人才支持计划、博士后引进项目、清华大学“水木学者”支持计划等。具体信息请查询清华大学博士后官网：http://postdoctor.tsinghua.edu.cn/
  5. 有竞争力的薪酬，符合要求最低年薪为50万元人民币（7万美元或5700万韩元）；
  6. 提供参加国际合作和访问的机会。

申请方式

有意者可将简历发送至邮箱，邮件主题请注明“清华博士后申请”。初审后我们将与您联系。

联系人：李老师

联系方式：010-62772387；Email：liyong07 at tsinghua.edu.cn

欢迎相关学科领域的老师推荐！此招聘信息长期有效！

数据科学与智能全体师生热诚欢迎您的加盟！

2025 Master & PhD Applications Open for International Students!

We are actively looking for prospective master’s and Ph.D. students to join our Future Intelligence Lab (FIB) at Tsinghua University. Students from all over the world are welcome!

Application Details

All applicants should launch the application through Tsinghua University’s online application portal: http://gradadmission.tsinghua.edu.cn/f/login

Application Schedule (GMT+8 Beijing Time):

  • 1st Round: 8:00 Oct 15, 2025 - 17:00 Dec 15, 2025
  • 2nd Round: 8:00 Jan 1, 2026 - 17:00 Mar 1, 2026
Scholarship Opportunities
Chinese Government Scholarship (CGS)

Covers: tuition, housing, medical insurance, and living stipend
Requires: HSK level 4 or above

Tuition Scholarships

Covers: full or partial tuition fee for the duration of one academic year
Includes: Beijing Government Scholarship for International Students (BGS), Tsinghua University Tuition Scholarship

Scholarship Application Website

https://yz.tsinghua.edu.cn/en/Financial_Aid/Scholarship_Application.htm

Contact

If you are interested, please contact Professor Yong Li along with your CV and basic information.

Phone:(+86) 010-62772387

Email: liyong07@tsinghua.edu.cn

Welcome!

About Future Intelligence Lab (FIB)

A Brief Introduction of Prof. Yong Li

Dr. Yong Li is a tenured associate professor and doctoral supervisor of the Department of Electronic Engineering at Tsinghua University, who has been engaged in research in data science and intelligence for years. He leads the Key Program of the Natural Science Foundation of China and the National Key R&D Program. He has published more than 150 academic papers in top-tier international conferences and journals such as KDD, NeurIPS, WWW, UbiComp, etc. (80+ CCF-A papers), cited by more than 20,000 times, and won the best paper (nomination) awards in international conferences for seven times. He has been selected as Highly Cited Scientist, National Young Top Talent Program, etc., won the IEEE ComSoc Asia-Pacific Outstanding Young Scholar Award, The first-class prize of Scientific and Technological Progress of the Ministry of Education of China, and the Second-class Prize of Natural Science of The Chinese Institute of Electronics, and Wu Wenjun Artificial Intelligence Outstanding Youth Award.

Personal Homepage: http://fi.ee.tsinghua.edu.cn/~liyong/

A Brief Introduction of Prof. Fengli Xu

Dr. Fengli Xu is a tenure-track assistant professor and doctoral supervisor of the Department of Electronic Engineering at Tsinghua University. Prior to current position, he was a postdoc researcher at the University of Chicago. His research interests lie in the interdisciplinary area of Artificial Intelligence, Data Science, Urban Science and Human Dynamics, aiming to develop scientific methods and artificial intelligence tools to address the long-standing puzzles in complex networks arise from human behavior and social interactions. His research aims to fully exploit the opportunities offered by recent data explosion and push forward the boundary of computational social science research with novel Data Science/AI techniques. Dr. Xu’s works have been published in several high-profile journals, including PNAS, Nature Human Behaviour and Nature Computational Science, and 40+ top computer science conferences, e.g., NeurIPS, WWW, KDD, etc. His research was recognized by selective academic awards, including CAAI rising star in social computing, MSRA Fellowship, ACM Sigspatial China Doctoral Dissertation Award, Ubicomp’16 Honorable Mention Award. Dr. Xu has served as the (senior) PC Member of WWW, AAAI, WSDM and IJCAI and co-organize IC2S2 2022 as Datathon director.

Personal Homepage: https://fenglixu.github.io/