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!
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):
Covers: tuition, housing, medical insurance, and living stipend
Requires: HSK level 4 or above
Covers: full or partial tuition fee for the duration of one academic
Includes: Beijing Government Scholarship for International Students (BGS), Tsinghua University Tuition Scholarship
If you are interested, please contact Professor Yong Li along with your CV and basic information.
Future Intelligence Lab (FIB) is a highly interdisciplinary lab focusing on the understanding and solutions to complex city problems and urbanization, tackling the challenges of urbanization with smart city infrastructure and advanced simulation to inform real-world urban planning and policymaking. With an unprecedented quantity of data available, we analyze, visualize, and optimize, achieving powerful results made possible with the latest artificial intelligence advances. Our mission is to make a sustainable, smart, and efficient city a reality through strong scientific foundations and cutting-edge technologies developed through high-impact research and large-scale deployment. We leverage a variety of interdisciplinary methods in our studies, including data-centric, Al-centric, and user-centric approaches.
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 100 academic papers in top-tier international conferences and journals such as KDD, NeurIPS, WWW, UbiComp, etc. (80+ CCF-A papers), cited by more than 16,000 times, and won the best paper (nomination) awards in international conferences for six times. He has been selected as Changjiang Scholar, Highly Cited Scientist, National Young Top Talent Program, 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/