[hpc-announce] Postdoctoral Position at Argonne National Laboratory

Venkatram Vishwanath venkatv at mcs.anl.gov
Fri Oct 7 09:26:59 CDT 2011


We have a new postdoctoral opening in the Mathematics and Computer Science (MCS) Division at Argonne National Laboratory  on scalable data movement and networking. 

You can learn more about this position at: 

Please feel free to contact me at venkatv at mcs.anl.gov.


Venkatram Vishwanath
Mathematics and Computer Science Division
Argonne National Laboratory

Job Description:

Basic Purpose:
The successful candidate will work with a team at Argonne National Laboratory and University of Chicago to build protocol framework and develop methods for efficient end-to-end data transfer in ultra high-speed networks. This will include research in adaptive protocol design, many core high end host systems and advanced network infrastructure. The incumbent will also work with large-scale parallel and distributed applications from various disciplines to evaluate the transfer methods developed. The incumbent will participate at all the stages of the implementation of the resulting methods from prototyping in high-level languages to the development in a high performance computing environment.
Knowledge, Skills and Experience:
Comprehensive knowledge in C/C++ programming under Unix. Comprehensive experience and knowledge in technical comprehension of networking, and system software for HPC platforms. Comprehensive knowledge and expertise in technologies such as TCP/IP and related protocols. Comprehensive knowledge in one or more of the following areas: operating system kernels, parallel tools, scientific visualization, collaborative tools, distributed computing and/or software development.

Considerable understanding of HPC computer architecture issues including CPU, memory, interconnect and parallel I/O. Considerable expertise in parallel programming, multi-core systems, data flow analysis, and scientific application codes. Considerable expertise to create high-quality software and ability to program with various languages such as shell, Perl, and Python. Considerable knowledge in performance analysis Considerable experience and skills in interdisciplinary research involving computer scientists, and other scientists.

Good collaborative skills, including the ability to work well with other divisions, laboratories, and universities. Good self-motivation to get involved and participate in the project team`s research, and balance that against intense code development and optimization for next-generation networks. Good communication skills.

Candidate should have a Ph.D. in computer science, or related discipline.

Minimum Education/Experience Requirements:
Years Since Ph.D. -- 0-1, 1-2, 2-3

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