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<a class="moz-txt-link-freetext" href="https://ucar.silkroad.com/epostings/index.cfm?fuseaction=app.jobinfo&amp;jobid=217496&amp;company_id=15947&amp;version=1&amp;source=ONLINE&amp;JobOwner=962105&amp;startflag=1">https://ucar.silkroad.com/epostings/index.cfm?fuseaction=app.jobinfo&amp;jobid=217496&amp;company_id=15947&amp;version=1&amp;source=ONLINE&amp;JobOwner=962105&amp;startflag=1</a><br>
    <br>
    <p id="jobTitleDiv" class="cssDspJobTitle"> <b>Postdoctoral
        Researcher </b></p>
    <dl>
      <dt id="trackCodeDiv" class="cssDspJobHead"> Tracking Code </dt>
      <dd id="jobCodeDiv" class="cssDspJobBody"> 14103 </dd>
      <dt id="dspJobTxtDescDiv" class="cssDspJobHead"> Job Description </dt>
      <dd id="jobDesciptionDiv" class="cssDspJobBody">
        <p style="text-align: left;"><strong>PLEASE NOTE</strong>: This
          is a new, full-time two-year term position with possibility of
          extension. Initial consideration will be given to applications
          received prior to 4:00 p.m. (MDT) Friday, April 25, 2014.
          Thereafter, applications will be reviewed on an as-needed
          basis.</p>
        <p style="text-align: left;">&nbsp;</p>
        <p style="text-align: left;">NCAR - Mesoscale and Microscale
          Meteorology Division (MMM)</p>
        <p style="text-align: left;">&nbsp;</p>
        <p style="text-align: left;">Partial relocation costs paid per
          UCAR&#8217;s relocation policy</p>
        <p style="text-align: left;">&nbsp;</p>
        <p style="text-align: left;">If necessary, UCAR/NCAR will
          sponsor a work visa (e.g., H1B, etc.) to fill this position.</p>
        <p style="text-align: left;">&nbsp;</p>
        <p style="text-align: left;"><strong>BASIC JOB FUNCTION</strong>:</p>
        <p style="text-align: left;">&nbsp;</p>
        <p style="text-align: left;">This position will contribute to
          research on mesoscale data assimilation across different
          projects.&nbsp; The research conducted focuses on advanced data
          assimilation methods (both variational- and ensemble-based
          techniques) and advanced observation types (e.g.
          cloud-and-precipitation-affected satellite radiances) for
          regional and global numerical weather prediction.</p>
        <p style="text-align: left;">&nbsp;</p>
        <p style="text-align: left;"><strong>DUTIES INCLUDE</strong>:</p>
        <p style="text-align: left;">&nbsp;</p>
        <p style="text-align: left;">Conduct research and development
          related to mesoscale weather prediction with WRF and MPAS
          community models. Research emphasis will be the improvement of
          convection-permitting forecasts using all-sky satellite
          radiances (i.e. both clear and cloud-affected radiances) in
          the GSI ensemble/variational hybrid data assimilation system.</p>
        <p style="text-align: left;">&nbsp;</p>
        <p style="text-align: left;">Further develop advanced methods
          for the assimilation of clouds from remote sensing and conduct
          impact studies for various applications where cloud
          initialization plays a major role.</p>
        <p style="text-align: left;">&nbsp;</p>
        <p style="text-align: left;">Prepare results for publication in
          peer-reviewed journals and for presentation at meetings and
          conferences.&nbsp; Prepare and deliver summary reports or project
          progress reports as needed.</p>
        <p style="text-align: left;">&nbsp;</p>
        <p style="text-align: left;">Contribute to the goals of the
          NESL/MMM program.&nbsp; May assist in the development of funding
          proposals and contribute to program planning for the Data
          Assimilation Section of MMM.</p>
        <p style="text-align: left;">&nbsp;</p>
        <p style="text-align: left;"><strong>REQUIREMENTS INCLUDE</strong>:</p>
        <p style="text-align: left;">&nbsp;</p>
        <p style="text-align: left;">Education and Experience:</p>
        <p style="text-align: left;">&nbsp;</p>
        <ul style="text-align: left;">
          <li>Ph.D. degree within the last 5 years in Meteorology,
            Applied Mathematics, or a related field.</li>
        </ul>
        <p style="text-align: left;">&nbsp;</p>
        <p style="text-align: left;">Knowledge, Skills and Abilities:</p>
        <p style="text-align: left;">&nbsp;</p>
        <ul style="text-align: left;">
          <li>Knowledge and experience with probability and statistics</li>
          <li>Extensive skill in data assimilation and NWP, as
            demonstrated in peer-reviewed journal publications</li>
          <li>Knowledge in satellite remote sensing</li>
          <li>Knowledge of and advanced skills with programming
            languages (Fortran-90 preferred) and scripting</li>
          <li>Ability in working with Linux/Unix operating systems and
            display tools (NCL, et al.)</li>
          <li>Effective written and oral communication skills</li>
          <li>Demonstrated ability to work independently and as part of
            a development team</li>
        </ul>
        <p style="text-align: left;"><strong>&nbsp;</strong></p>
        <p style="text-align: left;"><strong>DESIRED (but not required)</strong>:</p>
        <p style="text-align: left;">&nbsp;</p>
        <ul style="text-align: left;">
          <li>Experience and specialization in data assimilation,
            numerical forecasting and/or mesoscale weather prediction.</li>
          <li>Experience with WRF numerical model and associated data
            assimilation systems (WRFDA, GSI and/or DART)</li>
        </ul>
        <p style="text-align: left;">&nbsp;</p>
        <p style="text-align: left;">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>.&nbsp;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>
    </dl>
    <div class="cssDspJobHead">Appointment Type</div>
    <div class="cssDspJobBody">Term Full-Time (T1)</div>
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