<div dir="ltr"><div class="gmail_default" style="font-family:arial,helvetica,sans-serif"><span style="font-family:tahoma,sans-serif">Postdoctoral position in coupled ocean-ice-atmosphere modeling and data assimilation</span><br></div><div class="gmail_quote"><div dir="ltr"><div style="font-family:tahoma,sans-serif">
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The Earth System Sciences Interdisciplinary Center (ESSIC), at the University of <br>
Maryland College Park(UMD), in conjunction with the NASA Goddard Space Flight <br>
Center (GSFC), is seeking a postdoctoral fellow to work on coupled ocean-ice-atmosphere
<br>
modeling and data assimilation (DA) in the context of decadal climate variability.<br>
The position is to be filled as soon as possible, and the postdoctoral fellow will
<br>
be based at NASA GSFC. The initial appointment is for one year with possible <br>
extension for an additional two years.<br>
<br>
Responsibilities:<br>
<br>
The successful candidate will work in a multi-institution team, comprising researchers
<br>
at UMD, GSFC, MIT, JPL, and UT Austin. The project involves developing and analysing a novel<br>
prototype, property-conserving, ocean-ice-atmosphere model and DA system based on the
<br>
"replay'' capability of the Goddard Earth Observing System Model, Version 5 (GEOS-5) in
<br>
conjunction with the adjoint-model capabilities of the Massachusetts Institute of Technology
<br>
general circulation model (MITgcm). The resulting DA system and inferred solution will be
<br>
used to study recent Arctic or Antarctic sea ice changes and their relation to the coupled
<br>
ocean-atmosphere system. The initial period of scientific interest cover the satellite<br>
altimetric record (1992 to present).<br><br>Required qualification:<br>
<br>
Candidates should have a recent Ph.D. in Physical Oceanography, Atmospheric Sciences,
<br>
Climate Dynamics, Electrical Engineering, Physics, or related field, with a strong interest
<br>
in Earth System observations, models, and science questions. Experience in numerical
<br>
modeling (especially with GEOS-5 or MITgcm) and observational data analysis is highly
<br>
desirable. Familiarity with supercomputing environments and related programming languages
<br>
(in particular Linux and Fortran), as well as analysis tools (Matlab or Python) are essential.
<br>
Written and oral communication skills sufficient to lead manuscripts and present research at
<br>
conferences are also desirable.<br>
<br>
Applicants should send an email of interest and the following documents<br>
to Andrea Molod at <a href="mailto:andrea.molod@nasa.gov" target="_blank">andrea.molod@nasa.gov</a> or to Dimitris Menemenlis at <a href="mailto:dmenemenlis@gmail.com" target="_blank">dmenemenlis@gmail.com</a>:<br>
* current CV and list of publications;<br>
* name and contact information of three individual who can provide letters of reference<br><br><font size="2">------------------------------------------------<br>
Andrea M. Molod, Phd<br>
Associate Research Scientist<br>
Global Modeling and Assimilation Office<br>
& ESSIC, Univ. of MD College Park<br>
<a href="mailto:andrea.molod@nasa.gov" target="_blank">andrea.molod@nasa.gov</a><br>
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