[TriLUG] [statlist] HPC New Positions at UNC ATN (fwd)

Wed Sep 24 09:21:03 EDT 2003

I just got this circulated to research faculty - I have no particulars
other than those below, but thought some folks at TriLUG might be
interested.

Best,
Andy

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Andrew J Perrin - http://www.unc.edu/~aperrin
Assistant Professor of Sociology, U of North Carolina, Chapel Hill
clists at perrin.socsci.unc.edu * andrew_perrin (at) unc.edu

---------- Forwarded message ----------
Date: Wed, 24 Sep 2003 08:41:03 -0400
From: C. D. Poon <cdpoon at unc.edu>
Reply-To: The statlist mailing list <statlist at listserv.unc.edu>
To: The statlist mailing list <statlist at listserv.unc.edu>
Subject: [statlist] HPC New Positions at UNC ATN

  We are recruiting for two new positions to further enhance support for
research computing at the University of North Carolina at Chapel Hill.
The focus of one position is code optimization and parallelization. The
primary responsibility of the second position is to develop and teach
training courses on specific computational applications, parallel code
development and testing, checkpointing, and other aspects of our
computing environment. The job announcements are currently posted at the
UNC-CH Human Resources web site:

http://www.ais.unc.edu/hr/jobs/epajobs.htm

Please share this information with your colleagues.

C. D. Poon
High-Performance Computing Group
Academic Technology & Networks
University of North Carolina

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Research Computing Associate for High Performance Computing
EPA Non-Faculty
September 17, 2003

Position Description:

Research Computing Associate for High Performance Computing will provide
expertise for current and future high performance computing code
optimization, parallelization and porting.

This position will work closely with faculty and other University
researchers to determine the appropriate architecture for each
application and will then assist with porting and tuning applications
for optimal performance on the chosen platform.

In addition to supporting the porting and optimization of researchers
codes, this position will help identify and analyze codes to be used for
benchmarking and research of high performance computing resources.

Education Required:

Position Requires a M.S. or Ph.D in computer science or related
computational science discipline and demonstrated hands-on expertise and
high performance programming experience with MPICH, OpenMP, Fortran and
C++.

Experience Required:

Experience in performance evaluation of both distributed and shared
parallel memory architectures is highly desired as is experience with
parallel scientific simulation codes and writing applications for
parallel computers. Excellent interpersonal skills, excellent oral and
written communications skills and demonstrated organizational skills are
required, along with strong personal motivation and a proven ability to
work in a team environment.

Application Deadline: October 29, 2003.

Applicants should send a cover letter, resume and three references to:

Diane Strong, Human Resources Mgr.
Academic Technology & Networks (ATN)
UNC-CH, Campus Box # 3420
Chapel Hill, NC 27599-3420

The University of North Carolina at Chapel Hill is an equal opportunity
employer.

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High Performance Computing Instructor
EPA Non-Faculty
September 17, 2003

Position Description:

The High Performance Computing Instructor will determine course content,
develop and teach introductory classes about the UNC-Chapel Hill high
performance computing environment and how to use it, parallel
programming, scientific applications, and specialized coding and
performance analysis for faculty and their research teams.

Within ATN, the Academic Computing Systems Division provides the
infrastructure and support for the research computing, data management
and storage, messaging, web and enterprise backup and recovery needs of
the University community.

The High Performance Computing Instructor will develop course materials
for computational science techniques. These materials will be used to
design on-line tutorials as well as hands-on workshops and courses for
researchers with computationally intensive problems.