Prof. Yu (https://ycunxi.github.io/cunxiyu/) has 2-3 immediate Ph.D. positions with full RA support in Computer Engineering (CS/ECE joint; all my current students registered at CS) at University of Utah. Expected starting date can be as early as Fall 2021 (if you are in US. right now), or Spring 2022. Currently, our group have 5(+1 visiting PhD) excellent PhD students, 1 postdoc, and one NSF funded undergrad researcher, and is looking forward to grow the group.
Yu's group is currently supported by NSF FMiTF Award, NSF SHF Core, NSF CAREER Award, Xilinx, and DOE Center for Integrated Nanotechnologies (CINT), in the fields of graph learning, deep learning systems (compiler, infrastructure, hardware etc.), and reinforcement learning for sicence (physics, materials, electronic design automation).
Best way to reach me: BY EMAIL (see below)
Specifically, I am looking for students to work on topics:
• Graph Learning, Graph Neural networks (GNN), Generative GNN,
• Reinforcement Learning, physics-informed RL
Minimum Qualifications
Strong research interests and motivation
Solid programming skills in C/C++/python
CS/ECE/Math/Physics majors with a solid GPA record
Solid communication and writing skills (valid GRE/TOEFL test records are required for admin procedure)
University of Utah & Salt Lake City
Ranking: CSRanking: #33; USNews CE: #49; USNews CS: #43
Prospective PhD students: Please send me your [CV, GRE, TOEFL and B.S./M.S. transcripts] by email.
Wish you all the best luck for your PhD applications!
补充内容 (2021-09-29 03:21 +8:00):
More Openings available in Fall 2022. Please contact me directly via email cunxi.yu@utah.edu. If you are in US, Spring 2022 might also be possible
Are there any papers you would recommend in the area (reinforcement learning for science) for those who are interested in this position? And may I ask the ddl for the application?