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Postdoctoral Appointee

Title:  Postdoctoral Appointee Date Posted:  08/22/2012
Division:  Mathematics and Computer Science Date Re-posted:  
Requisition:  319763 MCS Salary:  4586-7644
Employment Category:  Temporary Pay Cycle:  Monthly
Shift:  8:30am - 5:00pm Grade:  700
Hours:  40  
 
Job Description
  Basic Purpose
  The successful candidate will work with a team at Argonne National Laboratory and University of Chicago to develop methods for efficient runtime systems in heterogeneous and hierarchical high-end supercomputing systems. This will include research in heterogeneous accelerator and hierarchical environments, light-weight data movement frameworks, fault tolerant and resilient runtime systems, and other advanced architectures. The incumbent will also work with large-scale parallel and distributed applications from various disciplines to understand their requirements and apply this research to application domains. The incumbent will participate at all the stages of the design and implementation of the resulting methods from prototyping to the development and deployment in a high performance computing environment.
   
  Knowledge, Skills and Experience
  Comprehensive
Comprehensive knowledge in C/C++ programming under Unix. Comprehensive experience and knowledge in technologies such as MPI, OpenMP, and GPU programming models Comprehension of resilience and fault tolerance for HPC platforms.
  Considerable
Considerable expertise in parallel programming, multi-core systems, 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 experience and skills in interdisciplinary research involving computer scientists, and other scientists.
  Good
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.
  Other
Ph.D. in computer science or a related discipline.
  Minimum Education/Experience Requirements
Years Since Ph.D. -- 0-1, 1-2, 2-3
   
 

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