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<b><a class="moz-txt-link-freetext" href="http://tinyurl.com/osy7w3v">http://tinyurl.com/osy7w3v</a><br>
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<p id="jobTitleDiv" class="cssDspJobTitle"> Project Scientist I:
Physics for Global NWP </p>
<dl>
<dt id="trackCodeDiv" class="cssDspJobHead"> Tracking Code </dt>
<dd id="jobCodeDiv" class="cssDspJobBody"> 15167</dd>
<dt><br>
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<dt id="dspJobTxtDescDiv" class="cssDspJobHead"> Job Description
<br>
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<dd id="jobDesciptionDiv" class="cssDspJobBody">
<p><strong>PLEASE NOTE: </strong>This is a new full-time
position. Initial consideration will be given to applications
received prior to 4:00 pm on Friday July 17, 2015.
Thereafter, applications will be reviewed on an as-needed
basis.</p>
<p> </p>
<p>NCAR – Research Applications Laboratory (RAL) – Joint
Numerical Testbed (JNT)</p>
<p> </p>
<p>Partial relocation costs paid per UCAR’s relocation policy</p>
<p> </p>
<p>UCAR/NCAR will sponsor a work visa to fill this position</p>
<p> </p>
<p><strong>BASIC JOB FUNCTION: </strong>The incumbent will
participate in activities in support of the Developmental
Testbed Center’s (DTC) new Global Model Test Bed component.
These activities include: (a) development of a Common
Community Physics Package (CCPP) initially based on the Global
Forecast System (GFS) physics, (b) development of a Physics
Testbed that will provide a common methods and infrastructure
for testing, evaluation, and diagnostic studies of the CCPP,
(c) conducting testing and evaluation of new physics
parameterization innovations in collaboration with our
partners to support the transition of new developments to
operations, and (d) community support for the CCPP, the
Physics Testbed, and an Inter-operable Physics Driver. Here
the “community” includes developers of global model dynamical
cores and physics schemes.</p>
<p> </p>
<p><strong>DUTIES INCLUDE: </strong>Collaborates with NCAR-RAL
scientists and engineers, DTC partners, and the operational
and research community to produce improved physics
parameterizations for a broad range of Numerical Weather
Predication (NWP) applications. This work will include:</p>
<ul>
<li>Leads the NCAR efforts toward development of a Common
Community Physics Package (CCPP) that will provide a
framework for the broad community to contribute to the
development of NOAA’s Next Generation Global Prediction
System (NGGPS).</li>
<li>Leads the NCAR efforts toward development of a Physics
Testbed, which will provide a framework for the DTC and
broader community to perform testing and evaluation, as well
as diagnostics on current operational physics suites and
innovations from the research community.</li>
<li>Evaluate performance of physics parameterization suites
using conventional and innovative methods.</li>
<li>Identify errors or inconsistencies in physics
parameterizations for operational forecasting applications
and craft and implement solutions independently.</li>
</ul>
<p> </p>
<p>Collaborates with the research community and DTC partners to
implement new developments in community code repositories.</p>
<p>Contributes to the community support of the Common Community
Physics Package and Interoperable Physics Driver by answering
questions, participating in tutorial preparations and creating
and/or updating documentation.</p>
<p>Publishes results in peer-reviewed technical journals, and
presents results at technical meetings and conferences.
Prepares summary reports as needed.</p>
<p>Assists in managing projects, interacting with sponsors as
needed, and developing and applying innovative methods for the
primary work areas described above.</p>
<p> </p>
<p> <strong>REQUIREMENTS INCLUDE:</strong></p>
<p><strong> </strong></p>
<p>Education and Experience:</p>
<p><strong> </strong></p>
<ul>
<li>Ph.D. in atmospheric science or a physical science,</li>
<li>or equivalent combination of education and experience.</li>
<li>Post-doctoral experience is desirable.</li>
</ul>
<p> </p>
<p>Knowledge, Skills and Abilities:</p>
<p> </p>
<ul>
<li>Advanced knowledge of mesoscale weather processes and NWP
modeling.</li>
<li>Advanced knowledge of, and experience in, physics
parameterization for NWP models.</li>
<li>Skill in analyzing numerical model output and verification
statistics.</li>
<li>Skill in using Unix and Linux computing environments.</li>
<li>Skill in programming (Fortran-90 or later preferred) and
scripting languages (Unix/Linux shell scripts, Python, etc),
and graphical display programs such as NCL, Matlab, and/or
IDL.</li>
<li>Ability to set research direction independently or with
senior scientists, and to quickly alter the research path
when appropriate.</li>
<li>Skill in performing tasks requiring organization and
attention to detail.</li>
<li>Initiative to work on complex problems and solve problems
creatively.</li>
<li>Ability to prioritize, organize, and follow through on
tasks to meet project goals.</li>
<li>Ability to apply independent decision-making and
initiative within the scope of assigned tasks, with
self-directed development of work goals.</li>
<li>Skill in communicating effectively in English with
scientists of diverse backgrounds, software engineers, and
project funding agencies on technical details.</li>
<li>Skill in presenting scientific results in both oral and
written form.</li>
</ul>
<p><strong> </strong></p>
<p>Desired but not required:</p>
<p> </p>
<ul>
<li>Experience with complex atmospheric model such as the
Weather Research and Forecasting (WRF) model, the
Nonhydrostatic Mesoscale Model on a B grid (NMMB), the
Global Forecasting System (GFS), and/or the Model for
Prediction Across Scales (MPAS).</li>
<li>Experience with high-performance computing.</li>
<li>Familiarity with operational NWP and forecasting
environment.</li>
</ul>
<p> </p>
<p>The University Corporation for Atmospheric Research (UCAR) is
an <a
href="http://www1.eeoc.gov/employers/upload/eeoc_self_print_poster.pdf"><strong>equal
opportunity employer</strong></a>. We evaluate qualified
applicants without regard to race, color, religion, gender,
national origin, ancestry, age, marital status, sexual
orientation, domestic partner status, disability, or veteran
status.</p>
</dd>
<dt id="dspJobTxtJobLocDiv" class="cssDspJobHead"> Job Location </dt>
<dd id="jobPositionLocationDiv" class="cssDspJobBody"> Boulder,
Colorado, United States </dd>
<dt id="dspJobTxtPosTypeDiv" class="cssDspJobHead"> Position Type
</dt>
<dd id="translatedJobPostingTypeDiv" class="cssDspJobBody">
Full-Time/Regular </dd>
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