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    <div><b>Research&nbsp;Assistant or Research Associate in Land Surface
        Modeling and Soil Moisture&nbsp;Scaling</b></div>
    <div>&nbsp;<br>
      <b>Summary:&nbsp;</b>&nbsp;A postdoctoral position&nbsp;is available to evaluate
      the performance of the&nbsp;Joint&nbsp;UK Land Environment Simulator
      (JULES)&nbsp;in reproducing soil&nbsp;moisture dynamics and
      key&nbsp;land-atmosphere interactions in the UK at hyper-spatial
      resolution in&nbsp;combination with novel cosmic-ray soil
      moisture&nbsp;technology and remote sensing&nbsp;products. A PhD in
      meteorology/hydrology or related disciplines (e.g.
      environmental&nbsp;science)&nbsp;with an interest
      in&nbsp;land-atmosphere&nbsp;interactions, numerical modeling, remote
      sensing, and data assimilation&nbsp;is&nbsp;essential.<br>
      &nbsp;<br>
      This&nbsp;30-month appointment&nbsp;(with potential&nbsp;extension to 36 months)
      is part of the&nbsp;NERC-funded&nbsp;project AMUSED (A MUlti-scale Soil
      moisture-Evapotranspiration Dynamics study)&nbsp;whose ultimate goal
      is&nbsp;to identify the&nbsp;spatiotemporal scale-dependency of key dominant
      processes that control&nbsp;changes&nbsp;in soil moisture and
      land-atmosphere interactions. AMUSED will employ new&nbsp;innovative
      technology for soil moisture monitoring using&nbsp;cosmic-rays sensors
      in&nbsp;combination with land surface modeling, satellite remote
      sensing, and data&nbsp;assimilation methods. Some fieldwork will
      take&nbsp;place, especially at the initial&nbsp;stages of the project to
      deploy and install/calibrate cosmic-ray soil moisture&nbsp;sensors. For
      more information about&nbsp;AMUSED, please visit&nbsp;<a
        href="http://www.bris.ac.uk/cabot/news/2014/502.html"
        target="_blank">http://www.bris.ac.uk/cabot/news/2014/502.html</a>.<br>
      &nbsp;<br>
      <b>Required&nbsp;skills</b>&nbsp;include experience using land surface
      models (e.g., JULES, CLM, Noah,&nbsp;VIC) to predict
      soil-vegetation-atmosphere interactions,
      some&nbsp;programming&nbsp;knowledge (e.g., Fortran or C) and experience
      with Linux operating system, demonstrated&nbsp;ability to publish
      peer-reviewed papers,&nbsp;effective written and oral&nbsp;communication
      skills, willingness to work in a team, in an academic
      research&nbsp;environment, and development collaborative&nbsp;links.<br>
      &nbsp;<br>
      <b>Desired&nbsp;skills</b>&nbsp;include knowledge of hydrometeorology,
      land-atmosphere interactions,&nbsp;data assimilation and/or remote
      sensing, and some previous&nbsp;experience with fieldwork&nbsp;activities.<br>
      &nbsp;<br>
      <b>For informal inquiries</b>, please contact Dr Rafael Rosolem&nbsp;(<a
        href="mailto:rafael.rosolem@bristol.ac.uk" target="_blank">rafael.rosolem@bristol.ac.uk</a>)<br>
      <br>
      <b>To apply</b>,&nbsp;please visit&nbsp;<a href="http://bit.ly/1wor2CP"
        target="_blank">http://bit.ly/1wor2CP</a><br>
      or<br>
      <a
href="http://www.jobs.ac.uk/job/AJP006/research-assistant-or-research-associate-in-land-surface-modelling-and-soil-moisture-scaling/"
        target="_blank">http://www.jobs.ac.uk/job/AJP006/research-assistant-or-research-associate-in-land-surface-modelling-and-soil-moisture-scaling/</a></div>
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