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[招生] PhD RA Positions [复制链接]

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发表于 2018-10-9 11:11:18 |显示全部楼层
本帖最后由 lighttank 于 2018-10-11 03:51 编辑

There are RA openings for PhD students working on Deep Learning Architecture Design in EECS@LSU starting from Spring/Fall 2019.  
   
The student is expected to perform research under the supervision and guidance of Prof. Peng with the School of Electrical Engineering and Computer Science at Louisiana State University. (http://www.ece.lsu.edu/lpeng). The research areas include software/hardware design for Deep Learning, Big Data analytics, Quantum Computing, Distributed Computing and Blockchain, multi-core and many-core processor architectures, and GPUs.   
   
Prof. Peng's group has published papers in top-tiered journals (IEEE Trans. on Computers, IEEE TPDS, IEEE TCAD, IEEE TVLSI, IEEE TDSC) and conferences (ACM/IEEE ISCA, IEEE HPCA, ACM Sigmetrics, ACM/IEEE DAC, etc). The research of Prof. Peng has been funded by national and state agencies including NSF and Department of Energy. The job market for Prof. Peng's students is very good. During the PhD study, students have had internship opportunities from Intel, AMD, and national labs. PhDs graduated from Prof. Peng's group obtained jobs from Intel and AMD. A PhD graduate has become assistant professor in University of Texas at San Antonio.   
        
The selection criteria are listed as follows:  
     1. BS degree in Computer Science, Computer Engineering or Electrical Engineering is required; An MS degree is preferred;  
   
     2. Strong programming skills in C/C++ is required;  
   
     3. Background and experience in either software (Linux/Unix kernel or virtual machines), Deep Learning, Blockchain, Quantum Computing or hardware (Verilog/VHDL) is preferred.   
   
Interested applicants please send resume including information about GPAs, Degrees, GRE/TOEFL scores, publications (if applicable) to Prof. Peng (lpeng@lsu.edu).

对985学校学生,GPA,GRE,Toefl等分数可以放宽录取。欢迎大家联系。

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