<html xmlns:v="urn:schemas-microsoft-com:vml" xmlns:o="urn:schemas-microsoft-com:office:office" xmlns:w="urn:schemas-microsoft-com:office:word" xmlns:m="http://schemas.microsoft.com/office/2004/12/omml" xmlns="http://www.w3.org/TR/REC-html40"><head><meta http-equiv=Content-Type content="text/html; charset=us-ascii"><meta name=Generator content="Microsoft Word 15 (filtered medium)"><style><!--
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</o:shapelayout></xml><![endif]--></head><body lang=EN-US link="#0563C1" vlink="#954F72"><div class=WordSection1><p class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto'>Postdoctoral Position in Sub-seasonal Forecasting at George Mason University/Center for Ocean-Atmosphere-Land Studies<o:p></o:p></p><p class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto'>The Department of Atmospheric, Oceanic and Earth Sciences at George Mason University and Center for Ocean-Land Atmosphere Studies (COLA) is seeking applications for a Post-Doctoral Associate to study the impact of ocean resolution on the sub-seasonal forecast skill of the NOAA’s new generation forecast system. Candidates must have a PhD in atmospheric sciences or a related subject. The successful candidate will use a coupled atmosphere, ocean and sea ice model to conduct high-resolution sub-seasonal forecasts and evaluate the skill of forecasts following the operational requirements. Advanced programming skills including code development and shell scripting is required and experience with the Modular Ocean Model (MOM) is considered an asset. Writing and presentation skills as exemplified by publications and presentations record is expected. Experience in managing and processing large data sets is an advantage.<o:p></o:p></p><p class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto'>For details and to apply please visit <span class=MsoHyperlink><span style='color:windowtext;text-decoration:none'><a href="https://jobs.gmu.edu/">jobs.gmu.edu</a></span></span> position F326AZ. <o:p></o:p></p><p class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto'>The position is available for two years with the second-year subject to renewal upon performance.<o:p></o:p></p><p class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto'>Review of applications will begin on February 15, 2019 and continue until the position is filled. <o:p></o:p></p><p class=MsoNormal><span style='font-size:11.0pt;font-family:"Calibri",sans-serif'><o:p> </o:p></span></p></div></body></html>