[Jobinfo] Fwd: [Ieee_vis_open_positions] Postdoctoral position at Argonne National Laboratory in data-intensive analysis, visualization, and storage

-------- Original Message --------
Subject: 	[Ieee_vis_open_positions] Postdoctoral position at Argonne 
National Laboratory in data-intensive analysis, visualization, and storage
Date: 	Fri, 12 Oct 2012 12:53:12 -0500
From: 	Tom Peterka <tpeterka@mcs.anl.gov>
To: 	ieee_vis_open_positions@listserv.uni-tuebingen.de



Hello,

We are seeking a postdoctoral appointee in data-intensive analysis, 
visualization, and storage. Join a vibrant multidisciplinary research 
team of computer scientists and discover new parallel scalable 
algorithms for data analysis and visualization, storage and analysis of 
scientific data, and integrate your ideas in parallel scientific 
simulations on some of the worlds largest supercomputers.

You will work in the Mathematics and Computer Science (MCS) Division at 
Argonne National Laboratory, in the Chicago suburbs, 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. Be part of an integrated, multidisciplinary research team and 
collaborate with computer and computational scientists at Argonne as 
well as in the broader community.

The ideal candidate will have comprehensive knowledge in C/C++ 
programming under Unix/Linux, and experience 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. Experience in software development 
for parallel computing is a plus. Candidates should have earned a Ph.D. 
in computer science within the past three years.

Follow the link below to the official Argonne job posting and apply 
online there. The attached advertisement has more information as well. 
To apply: 
http://web.anl.gov/jobsearch/detail.jsp?userreqid=319355+MCS&lsBrowse=POSTDOC 





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