[Jobinfo] Fwd: [Ieee_vis_open_positions] 2 open postdoc positions in data analysis and visualization

-------- Original Message --------
Subject: 	[Ieee_vis_open_positions] 2 open postdoc positions in data 
analysis and visualization
Date: 	Sun, 13 Oct 2013 20:21:36 -0500
From: 	Tom Peterka <tpeterka@mcs.anl.gov>
To: 	ieee_vis_open_positions@listserv.uni-tuebingen.de



Dear friends,

I have two open postdoc positions in scalable data analysis and 
visualization. Please encourage candidates to apply to one or more, and 
please forward to anyone else who might be interested. Positions are 
described below; you can also visit my home page at

http://www.mcs.anl.gov/~tpeterka/ <http://www.mcs.anl.gov/%7Etpeterka/>

and click on the Hiring link.

Thanks!
Tom

---

319355: Postdoctoral Position in Data-intensive Analysis, Visualization, 
and Storage
This computer science postdoc 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. He 
or she 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. 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.

To apply:
http://web.anl.gov/jobsearch/detail.jsp?userreqid=319355+MCS&lsBrowse=POSTDOC

---

321176: Postdoctoral Position in Data Analysis and Visualization of 
Superconductivity
We seek a postdoc in computer science to analyze and visualize 
simulations of superconductivity at Argonne National Laboratory. The 
successful candidate will work as part of a multidisciplinary research 
team involving physicists, computer scientists, and mathematicians to 
detect and track the temporal evolution of vortex dynamics in 
superconductors.  The postdoc will collaborate with members of the 
SciDAC SDAV Institute (http://www.sdav-scidac.org 
<http://www.sdav-scidac.org/>) and OSCon partnership 
(http://oscon-scidac.org <http://oscon-scidac.org/>) to detect, track, 
and view features at scale from large amounts of data in situ and in 
postprocessing. Algorithms will leverage multi-core/GPU clusters and DOE 
Advanced Scientific Computing Research supercomputing facilities. 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: topological 
analysis, feature detection, feature tracking, 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.

To apply:
http://web.anl.gov/jobsearch/detail.jsp?userreqid=321176+MCS&lsBrowse=POSTDOC


-----------------
Tom Peterka
Mathematics and Computer Science Division
Argonne National Laboratory
9700 S. Cass Ave.
Argonne, IL 60439
Bldg 240, Rm 3143
e-mail: tpeterka@mcs.anl.gov <mailto:tpeterka@mcs.anl.gov>
web: www.mcs.anl.gov/~tpeterka <http://www.mcs.anl.gov/%7Etpeterka>
phone: 630-252-7198






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