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<p>In collaboration with NOAA's Geophysical Fluid Dynamics
Laboratory (GFDL), the Atmospheric and Oceanic Sciences Program at
Princeton University solicits applications to its Postdoctoral
Research Scientist Program funded by the Cooperative Institute for
Modeling the Earth System (CIMES). <br>
<br>
The AOS Program and GFDL offer a stimulating environment with
significant computational and intellectual resources in which to
conduct collaborative or independent research for the modeling,
understanding and predictability of the Earth System from weather
to centennial time scales. We primarily seek applications from
recent Ph.D.s for postdoctoral positions but will accept
applications from more experienced researchers. Appointments are
made at the rank of Postdoctoral Research Associate or more senior
initially for one year with the possibility of renewal for a
second year based on satisfactory performance and continued
funding. A competitive salary is offered commensurate with
experience and qualifications.<br>
<br>
We seek applications in all areas of earth system science within
the three research themes of CIMES: 1) Earth System Modeling; 2)
Seamless prediction across time and space scales; 3) Earth System
Science: Analysis and Applications. Current areas of particular
interest include: high-spatial-resolution global modeling of
weather and climate; predictability of high-impact weather events
on global and regional scales; prediction of subseasonal to
decadal hydroclimate variations, changes, and extremes; coupled
system data-initialization and assimilation; ice sheet-ocean and
ocean-seaice-climate interactions; development of comprehensive
biogeochemical and ecological models of the marine and terrestrial
systems, and studies of their interactions with climate;
development of atmospheric physics parameterizations, and study of
convection-clouds-microphysics-radiation interactions; role of
atmospheric chemistry and aerosols in the Earth System; climate
sensitivity and past-to-present-to-future variations/changes in
climate; detection and attribution of changes in the Earth System;
regional downscaling; and machine learning applications in climate
science. <br>
<br>
Further information about the Program may be obtained from:
<a class="moz-txt-link-freetext" href="http://aos.princeton.edu">http://aos.princeton.edu</a>. Applicants are strongly encouraged to
contact potential hosts at GFDL and Princeton University prior to
application to discuss areas of possible research. <br>
<br>
Complete applications, including a CV, copies of recent
publications, contact details for 3 letters of recommendation, and
a research proposal including the project title, should be
submitted by January 15, 2019 for full consideration. Applicants
must apply online to
<a class="moz-txt-link-freetext" href="https://www.princeton.edu/acad-positions/position/9843">https://www.princeton.edu/acad-positions/position/9843</a>. We would
like to broaden participation in earth system scientific research
and therefore encourage applications from groups historically
under-represented in science. <br>
<br>
These positions are subject to the University’s background check
policy. <br>
<br>
Princeton University is an equal opportunity employer and all
qualified applicants will receive consideration for employment
without regard to age, race, color, religion, sex, sexual
orientation, gender identity or expression, national origin,
disability status, protected veteran status, or any other
characteristic protected by law.<br>
<br>
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<div class="moz-signature">-- <br>
<b><i>Laura Rossi</i></b><br>
Manager, Atmospheric and Oceanic Sciences Program <br>
Administrator, Cooperative Institute for Climate Science/ <br>
Cooperative Institute for Modeling the Earth System<br>
<b><font color="#FF8000">Princeton</font> University</b><br>
208 Sayre Hall, Forrestal Campus <br>
300 Forrestal Road <br>
Princeton, New Jersey 08540-6654 <br>
Phone: 609-258-6376 <br>
Fax: 609-258-2850 <br>
Email: <a class="moz-txt-link-abbreviated" href="mailto:Lrossi@Princeton.EDU">Lrossi@Princeton.EDU</a>
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