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Why IUB & HiPDAC?

  • Rankings: IUB is one of only 30 U.S. public research universities in the prestigious Association of American Universities (AAU). It’s also one of the public ivy universities(公立常春藤)and one of the “Big10” universities. Forty graduate programs and four schools at IU are ranked among the top 25 in the country in the U.S. News & World Report's 2016 rankings. ARWU ranks IUB 46~58 nationally in 2020. U.S. News ranks IUB #76 in the Best Global Universities in 2021. IUB is ranked #55 in CSRankings (#48 in Systems, #10 in Security) in 2022. 

  • HPC Research: IU has a very long tradition in HPC research and infrastructure. IUB is one of the few universities that have supercomputers in campus. For example, NSF awarded IUB $10 million to build the Jetstream2 supercomputer (https://jetstream-cloud.org/), and IUB has built the Big Red 200 AI supercomputer for its 200th anniversary. IU has a booth every year at ACM/IEEE Supercomputing (SC) Conference. Many big names in HPC field have worked at or graduated from IUB like Geoffrey Fox, Andrew Lumsdaine, Torsten Hoefler, Thomas Sterling, etc.

  • Facility: The Luddy School of Informatics, Computing, and Engineering has built a new 125,000-square foot building, including an innovation center, a series of teamwork rooms, meeting spaces, classrooms, faculty offices, and a large lecture hall. Moreover, the Luddy School just completed the construction of the $35M Luddy Center for Artificial Intelligence, a 58,000-square-foot facility, which will serve as the hub for multidisciplinary research in advanced AI and machine-learning applications.

  • Job Opportunity: Dr Tao's group has close collaborations with many national research laboratories such as Argonne National Lab, Pacific Northwest National Lab, Los Alamos National Lab, Oak Ridge National Lab to develop emerging research and technology into real-world applications. Most PhD students have opportunities to intern at these national labs to work on fantastic collaborative projects.

  • Location: Bloomington is known as the “Gateway to Scenic Southern Indiana” for its scenic trails and outdoor recreation. Indiana University, Big 10 sports, cultural attractions and affordable neighborhoods earned Bloomington a spot on the Best Cities for Entrepreneurs in 2017, and on our Top 100 Best Places to Live list. The city’s growing food scene has also received national accolades for local wines and eclectic dining options. Bloomington has been designated a Tree City USA for the past 30 years and is often recognized among America’s best cities for doing business. The local economy is strong in areas like advanced manufacturing, education and technology, and the popular downtown district has many venues for shopping, dining, and nighttime entertainment.

 

CS PhD Positions @ Indiana University Bloomington

Dr. Dingwen Tao from invites applications for the PhD, postdoc, and internship positions in his group in the Luddy School of Informatics, Computing, and Engineering at Indiana University Bloomington (IUB), focusing on the areas of high-performance computing (HPC), parallel and distributed systems, and large-scale machine learning systems. Dr. Dingwen Tao is an associate professor in the Department of Intelligent System Engineering at IUB. Before joining IUB, he’s worked at Washington State University and the University of Alabama as assistant professor. Dr. Tao is the winner of the 2021 RD100 Awards, 2020 IEEE CS TCHPC Early Career Researchers Award for Excellence in High Performance Computing, and 2019 NSF CRII Award. His group has published many papers in top-tier system and data conferences and journals, including SC, HPDC, ICS, PPoPP, VLDB, DAC, IPDPS, ICDE, PACT, ICPP, CLUSTER, TPDS, TC, etc. He has been awarded more than $2M research grants to support his research by the National Science Foundation, Department of Energy, National Oceanic and Atmospheric Administration, AMD, and Xilinx. Most of Dr. Tao’s PhD students have interned at U.S. national labs (e.g., Argonne National Lab, Los Alamos National Lab) and industry research labs (e.g., Microsoft Research, Meta Research, Facebook Reality Labs). More details of Dr. Tao’s research group and projects can be found at: https://www.dingwentao.com/project.

Qualified PhD and intern candidates are expected to have (1) strong programming experiences in C/C++ and Python under Linux platform, (2) good English writing skills, and (3) students with prior research experience in parallel computing (MPI, OpenMP), acceleration technologies (GPGPU, FPGA), and distributed deep learning frameworks (PyTorch DDP, Horovod) are preferred. Students with strong CS, Math, EE, or Physics backgrounds are especially encouraged to apply. PhD students will be fully funded by research/teaching assistantships. Applicants should send their detailed CVs, all transcripts, G/T scores, and other supporting documents in one pdf file directly to Dr. Tao at ditao@iu.edu and apply online at https://graduate.indiana.edu/admissions/apply.shtml 120 days before the beginning of the semester for full consideration. Please indicate Dr. Tao as your potential advisor in your statement of purpose.

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