©2019 by Dingwen Tao

CS PHD POSITIONS @ THE UNIVERSITY OF ALABAMA

Dr. Dingwen Tao from the Department of Computer Science at The University of Alabama invites applications for Ph.D. studies in the areas of high-performance computing, parallel and distributed systems, and big data analytics. Students will be fully funded by research/teaching assistantship. Dr. Tao has published many papers in top HPC and Big Data conferences and journals, including IEEE BigData, ACM HPDC, IEEE IPDPS, ACM PPoPP, ACM/IEEE SC, IEEE TPDS, SAGE IJHPCA. His research has been supported by National Science Foundation, Department of Energy, Argonne National Laboratory, Brookhaven National Laboratory. More details of Dr. Tao's research can be found at: https://www.dingwentao.com/.

Qualified candidates are expected to have strong programming experiences in C, C++ or Fortran and Python under Linux platform and good English writing skills. Students with prior research experience in parallel computing (MPI/OpenMP) and/or acceleration technologies (GPGPU/KNL/FPGA) are preferred. Students with strong CS, Math, EE, or Physics backgrounds are especially encouraged to apply. Applicants should send their detailed CVs, all transcripts, G/T scores, and other supporting documents in one pdf file directly to Dr. Tao at tao@cs.ua.edu and apply online at https://graduate.ua.edu/prospective-students/apply-now/ 120 days before the beginning of the semester for full consideration. Please indicate Dr. Tao as your potential advisor in your statement of purpose.