PhD RA Positions in Deep Learning @ Louisiana State University
26408
帮老板张贴一个招生启事：
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There are RA openings for PhD students working on hardware design for Deep Learning in EECS@LSU starting from Fall 2017.
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. (ece.lsu.edu). The research areas include hardware design for Deep Learning, big data analytics (大数据), 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 Trans. on Parallel and Distributed Computing, IEEE Trans. on VLSI, IEEE Trans. Dependable and Secure Computing) 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), embedded system, deep learning, 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 (1point3acres.com).
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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谢谢关注，
有意向的同学们亦可以加站内信讨论。
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There are RA openings for PhD students working on hardware design for Deep Learning in EECS@LSU starting from Fall 2017.
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. (ece.lsu.edu). The research areas include hardware design for Deep Learning, big data analytics (大数据), 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 Trans. on Parallel and Distributed Computing, IEEE Trans. on VLSI, IEEE Trans. Dependable and Secure Computing) 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), embedded system, deep learning, 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 (1point3acres.com).
对985学校学生，GPA,GRE,Toefl等分数可以放宽录取。欢迎大家联系。
===========================================================
谢谢关注，
有意向的同学们亦可以加站内信讨论。
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