Di Wang is currently an Assistant Professor in the Division of Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) at the King Abdullah University of Science and Technology (KAUST). He is always looking for PhD students, internship and visiting students (all are fully funded) start from either Spring or Fall.
Di Wang obtained his PhD degree in 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 more than twenty four papers, include several JMLR, ML, ICML, NeurIPS, AAAI, IJCAI, ALT. He has collaborated with people from several top universities such as UVA, University of Toronto, Cornell, University of Boston, SUNY at Buffalo, MIT.
His interested areas include Machine Learning, Statistical Estimation, Fairness, Privacy and Security, see his personal website for details. If you are interested in working or have common interests with him, feel free to send him (di.wang@kaust.edu.sa ) your CV and transcripts. You can discuss with him whether there are some suitable projects for you.
Requirements: Minimum GPA is 3.5/4 or 83/100, TOFEL IBT 79 or IELTS 6.0. Students should be self-motivated and have critical thinking, also they should be proficient in either programming or statistics or mathematics. Students from all related background such as CS, Mathematics, Statistics, EE etc. are invited to apply. Di Wang has different topics for students with different background. Publication is preferred but not required.
More information can be found at https://www.kaust.edu.sa/en/study/phd-program (PhD), https://www.kaust.edu.sa/en/study/masters-program (Master), https://vsrp.kaust.edu.sa/ (intern and visiting students).
Di Wang is currently an Assistant Professor in the Division of Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) at the King Abdullah University of Science and Technology (KAUST). He is always looking for postdoc positions, 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 obtained his PhD degree in 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 more than twenty four papers, include several JMLR, ML, ICML, NeurIPS, AAAI, IJCAI, ALT. He has collaborated with people from several top universities such as UVA, University of Toronto, Cornell, University of Boston, SUNY at Buffalo, MIT.
His interested areas include Machine Learning, Statistical Estimation, Fairness, Privacy and Security, see his personal website for details. If you are interested in working or have common interests with him, feel free to send him (di.wang@kaust.edu.sa) 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 PhD. and M.S. students.
KAUST offers:
