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The Industry Solutions Department of the IBM Thomas J. Watson Research
Center in Yorktown Heights, NY is seeking a post-masters or post-doctoral
scientist to join a multi-disciplinary team focused on applications of
weather modeling. The team has an atmosphere in which basic research is
combined with experience on technical problems arising in industry. In
addition to being located at a world-class research institution, the candidate
will be part of a team that operates an in-house multi-channel NOAAport
system for real-time access to both computed and observed weather data,
a dedicated high-performance computing cluster, and 3d graphics workstations.
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<br><font size=3>The IBM Research Division is the largest industrial research
organization in the world with eight labs worldwide, doing work in a broad
range of disciplines in the physical, mathematical, computer and life sciences
and related engineering fields. Its headquarters is at the IBM Thomas J.
Watson Research Center in Yorktown Heights, NY. For more information about
IBM Research, please visit </font><a href=http://www.research.ibm.com/><font size=3>http://www.research.ibm.com</font></a><font size=3>.<br>
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The candidate would be responsible for the operation of a meso-gamma-scale
model-based weather forecasting system used in weather-sensitive decision
support applications and be a contributor to its enhancement. The successful
candidate will work with the extant team to improve and maintain operational
capabilities, and develop and incorporate new techniques that are part
of an end-to-end solution, especially with applications focused on energy
management (e.g., renewable generation, distribution operations) and emergency
planning for and response to severe weather. In addition, the candidate
will work with the team to define and execute a research and development
agenda. Such a candidate will have strong communication skills and a desire
to see new technology applied in real-world situations. A successful candidate
will interact with the scientific and business personnel at IBM as well
as collaborators outside of IBM, participate and make presentations on
their work and publish results. While it is expected that the candidate
will have good skills in working with a team, the ability to work independently
is also required.<br>
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The candidate must possess expertise with the scientific use of modern,
non-hydrostatic numerical weather prediction codes such as WRF-ARW and
its operations in a high-performance computing environment. Knowledge of
surface and upper-air measurements as well as satellite and radar observations
and utilization of NOAA/NWS data streams is required for consideration
of both model verification and data ingest activities. Experience with
applications in the energy industry such as electric distribution operations
and wind power is desirable. Experience with operational forecasting using
numerical weather prediction is required. </font>
<br><font size=3><b>Required</b> </font>
<ul>
<li><font size=3>Basic knowledge in meteorological computing
skills in a Unix environment (AIX, Linux) </font>
<li><font size=3>Basic knowledge in scripting (e.g., shell, perl,
python), and FORTRAN programming </font>
<li><font size=3>Basic knowledge in meteorological data formats
and structures (e.g., netCDF, GriB) </font>
<li><font size=3>English: Intermediate</font></ul><font size=3><b>Preferred</b>
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<ul>
<li><font size=3>Doctorate Degree </font>
<li><font size=3>At least 2 years experience in meteorological
computing skills in a Unix environment (AIX, Linux) </font>
<li><font size=3>At least 2 years experience in scripting (e.g.,
shell, perl, python), and FORTRAN programming </font>
<li><font size=3>At least 1 year experience in meteorological
data formats and structures (e.g., netCDF, GriB) </font></ul>
<br><font size=3>IBM is committed to creating a diverse environment and
is proud to be an equal opportunity employer. All qualified applicants
will receive consideration for employment without regard to race, color,
religion, gender, gender identity or expression, sexual orientation, national
origin, genetics, disability, age, or veteran status. </font>
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<br><font size=3>To apply to this position, please visit:</font>
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<br><font size=2 face="sans-serif"> </font><a href="https://jobs3.netmedia1.com/cp/job_summary.jsp?job_id=RES-0313700"><font size=2 face="sans-serif">https://jobs3.netmedia1.com/cp/job_summary.jsp?job_id=RES-0313700</font></a>
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Lloyd A. Treinish<br>
Project Scientist, Big Green Innovations<br>
IBM Thomas J. Watson Research Center<br>
1101 Kitchawan Road, Yorktown Heights, NY 10598<br>
914-945-2770, lloydt@us.ibm.com<br>
</font><a href=http://www.ibm.com/green><font size=2 face="sans-serif">http://www.ibm.com/green</font></a>