普林斯顿大学的Dr. Zhao Song计划招收远程科研实习 (research interests: theoretical deep learning, theoretical computer science)。 详情如下，欢迎感兴趣的同学将简历发至【email@example.com ; firstname.lastname@example.org】 (标题: your name + Zhao’s intern application). 细节详询：wechat id: wxid_szctuy8cdsvf22.
Zhao’s google scholar page:
Zhao’s representative publications:
For linear programming solver:
For fast Fourier transform:
Deep learning theory:
Security of deep learning:
Dr. Zhao Song obtained his Ph.D. from CS department at UT-Austin in 2019. Currently he is a postdoc researcher at Princeton University and Institute for Advanced Study. His major research interests are theoretical computer science (TCS) and theoretical deep learning (TDL). On the TCS side, he mainly focuses on designing fast algorithm for several fundamental algorithmic problems, e.g., linear programming, Fourier transform. On the DL side, he works on building the science behind deep learning, e.g., proving the convergence result. He also studies the privacy and security problem in machine learning.
Zhao is looking for self-motivated and hardworking undergraduates who want to apply for graduate school in the future. Collaboration will be done remotely and you may expect possible submissions to STOC/FOCS/ICML/NeurIPS. Previously, his interns got PhD offers from top 10 CS schools.
High GPA is not a requirement but could be a plus.
Coding is not a necessary requirement.
Having good background in math/physics is better.
Having experience in math/physics/informatics Olympia competition is a plus.