Di Wang will be joining the Division of Computer, Electrical and Mathematical Sciences and Engineering (CEMSE), King Abdullah University of Science and Technology (KAUST) from January 2021 as an Assistant Professor. He is looking for one postdoc position, with flexible start date. The initial appointment will be 1 year, with the possibility renewal for one for two additional years depending on the performance. The position will remain open until filled.
Di Wang is currently a PhD student in the Department of Computer Science and Engineering at the State University of New York (SUNY) at Buffalo. During his PhD studies, he has been invited as a visiting student to the University of California, Berkeley, Harvard University, and Boston University. During the last 3 years, he was the first author for several top conferences, include ICML, NeurIPS, AAAI, IJCAI, ALT. He has collaborated with people from several top universities such as UVA, University of Toronto, Cornell, University of Boston, MIT.
His interested areas include Machine Learning, Statistical Estimation, Privacy and Security, see his personal website http://www.acsu.buffalo.edu/~dwang45/ for details. Candidates with experience in one or more of the above research areas are invited to apply. If you are interested in working or have common interests with me, feel free to send him (dwa...@buffalo.edu) your CV. Successful candidates will be further contacted to provide more documents (e.g., two recommendation letters or a short statement of research plans).
Candidates need to hold an earned Ph.D. (or be near completion) in computer science or in a related field with mathematics or statistics or good programming skills in C/C++/Java/Matlab/Python. Successful candidates are expected to be self-motivated and have a good publication record (at least have one paper accepted by premier conferences or journals like COLT, NeurIPS, ICML, AISTATS, ALT, ICLR, CCS, S&P, KDD, AAAI, TIT, TPAMI, JMLR, MLJ, TKDE, TIFS etc.) and good command of English. The position holders will perform interdisciplinary research, shape research directions, produce and disseminate results through publications, coordinate research projects and help to supervise Ph.D. and M.S. students.
KAUST offers