Job Search - Requisition Detail

Postdoctoral Appointee

Title:  Postdoctoral Appointee Date Posted:  05/19/2012
Division:  Mathematics and Computer Science Date Re-posted:  
Requisition:  319355 MCS Salary:  4586-7644
Employment Category:  Temporary Pay Cycle:  Monthly
Shift:  8:30am - 5:00pm Grade:  700
Hours:  40  
 
Job Description
  Basic Purpose
  Will conduct basic and applied research in parallel and scalable algorithms for data analysis and visualization on HPC architecture, data models for storage and analysis of scientific data, and integration of methods in parallel scientific simulations. Will work as part of an integrated, multidisciplinary research team and will collaborate with computer and computational scientists at Argonne as well as in the broader community.
   
  Knowledge, Skills and Experience
  Comprehensive
Comprehensive knowledge in C/C++ programming under Unix/Linux. Comprehensive knowledge in data analysis and/or scientific visualization, including one or more of the following: statistical analysis, graph analysis, data mining, visualization of scalar and vector multivariate data. Comprehensive knowledge in software development for parallel computing.
  Considerable
Considerable understanding of HPC computer architecture and system software Considerable expertise in parallel programming, multicore systems, message passing, threading, GPU programming, and scientific application codes. Considerable expertise to create high-quality software and ability to program with various languages, libraries and tools such as R, VTK, and MPI, shell scripting, Python.
  Good
Good collaborative skills, including the ability to work well with other laboratories and universities. Good self-motivation to solve problems and grow professionally. Good written and oral communication skills.
  Other
Candidates should have a Ph.D. in computer science or a related discipline with expertise in parallel computing and message passing. Candidates should have the ability to create, maintain, and support high-quality software.
  Minimum Education/Experience Requirements
Years Since Ph.D. -- 0-1, 1-2, 2-3
 
The appointee will conduct basic and applied research in parallel and scalable algorithms for data analysis and visualization on HPC architecture, data models for storage and analysis of scientific data, and integration of methods in parallel scientific simulations. The candidate will work in the Mathematics and Computer Science (MCS) Division, funded by the DOE SciDAC Scientific Data Analysis and Visualization (SDAV) Center, the DOE Center for Exascale Simulation of Advanced Reactors (CESAR), and other projects. The appointee will work as part of an integrated, multidisciplinary research team and will collaborate with computer and computational scientists at Argonne as well as in the broader community.
   
 

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