Dr. Dingwen Tao (https://www.dingwentao.com/) invites applications for PhD studies in the areas of high-performance computing (HPC) and big data analytics. Qualified candidates with CS, Math, EE, or Physics background are expected to have strong programming experience and outstanding math/analytic capability. Strong students with research experience in GPU and FPGA are especially encouraged to apply. Applicants should send their detailed CVs, transcripts, G/T scores, and other supporting documents directly to Dr. Tao at dingwen.tao@ieee.org.
Dr. Tao’s research lab has been published in top venues including ACM ICS, HPDC, PPoPP, SC, IEEE BigData, Cluster, IPDPS, MSST, and IEEE Transactions on Parallel and Distributed Systems. The lab has close collaborations with many national research laboratories (e.g., Argonne National Lab, Pacific Northwest National Lab, Los Alamos National Lab, Oak Ridge National Lab) to develop emerging research technology into real-world applications. Most of the PhD students in the lab can have opportunities to work on fantastic projects at the labs during the summer. The research is supported by federal agencies such as NSF, Department of Energy, Department of Commerce, as well as industrial companies such as Xilinx.
WSU CS is ranked #75 in US News best CS graduate schools and provides high-quality, personalized mentoring for our graduate students. WSU EECS school has strong focus areas for research, including parallel, distributed, and high-performance computing; artificial intelligence and machine learning; computer architectures & systems; bioinformatics; software engineering; cyber-physical systems; edge computing and IoT. All PhD students are fully funded through either teaching or research assistantships that cover tuition expenses and provide stipend for living expenses.
WSU is located in Pullman inland Washington, which is close to several big cities including Seattle, Portland, and Boise, which have many giant IT companies such as Amazon, Microsoft, Boeing, Intel, Micron. WSU is also very close to Pacific Northwest National Laboratory (PNNL) and has joint program with PNNL (https://natlab.wsu.edu/joint-appointment-program/), providing many collaboration opportunities with high-impact, national science and engineering research. Cost of living is also quite reasonable. Pullman has generally nice climates, safe neighborhoods, and beautiful outdoors/scenery. Graduate students can enjoy an excellent quality of life.
补充内容 (2020-2-29 12:35):
WSU is a top-tier (R1) public research university. After Dr. Tao joins it, WSU with 4.9 score would be ranked in top 20 unversities in HPC according to CS Rankings (http://csrankings.org/#/index?hpc)
补充内容 (2020-2-29 13:00):
Graduate from "985" universities are preferred.
补充内容 (2020-3-2 01:03):
The positions consider both Fall 2020 and Spring 2021. If you haven't taken G/T tests so far, Dr. Tao still encourages you to contact and provide G/T scores later.
Dr. Dingwen Tao (https://www.dingwentao.com/) invites applications for PhD studies in the areas of high-performance computing (HPC) and big data analytics starting from Fall 2020 or Spring 2021. Qualified candidates are expected to have CS, Math, EE, or Physics background and strong programming experience and outstanding math/analytic capability. Strong students with research experience in GPU and FPGA are especially encouraged to apply. Applicants should send their detailed CVs, transcripts, G/T scores, and other supporting documents directly to Dr. Tao at dingwen.tao@ieee.org. If you haven't taken G/T tests so far, you are still very welcome to contact Dr. Tao and provide G/T scores later.