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<span style="font-family: "Times New Roman", serif; font-size: 12pt;" class="">Princeton University’s Atmospheric and Oceanic (AOS) Sciences Program,</span><span class="" style="font-family: "Times New Roman", serif; font-size: 12pt; background-color: white;">
in cooperation with NOAA's Geophysical Fluid Dynamics Laboratory (GFDL), NOAA’s Climate Program Office (CPO), and NOAA’s National Centers for Environmental Information (NCEI), seeks applications for a postdoctoral or more senior research scientist to conduct
research in collaboration with the GFDL Empirical Statistical Downscaling (ESD) science team, the Climate and Health Project Manager of NOAA CPO, and NOAA’s Regional Climate Services Director - Eastern Region. The project seeks to promote the responsive and
responsible use of climate projections in applied science studies relevant to NOAA’s health sector stakeholders.</span></div>
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<p class="MsoNormal" style="margin-top:12.0pt;line-height:normal"><span lang="EN" style="font-size:12.0pt;font-family:"Times New Roman",serif;background:white;
mso-highlight:white" class="">This position is based at NOAA GFDL/Princeton University with regular
engagements in the Eastern region. NOAA/OAR/CPO’s Climate and Health program and NOAA/NESDIS/NCEI’s Regional Climate Services program support the development and delivery of place-based climate information products and services to help people make science-informed
decisions</span><span lang="EN" style="font-size:12.0pt;font-family:"Times New Roman",serif" class="">. The GFDL ESD research team evaluates statistically refined climate projections commonly used in studies of the influence of climate change on topics of
societal relevance. The successful candidate’s project will be coordinated with GFDL’s ESD team and will be directly relevant to public health audiences’ use of climate projections for decision-making. Project specifics will be determined by the candidate’s
experience and alignment of project goals with NOAA priorities.<o:p class=""></o:p></span></p>
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<span lang="EN" style="font-size:12.0pt;font-family:
"Times New Roman",serif;background:white;mso-highlight:white" class="">We seek applicants with a Ph.D. or equivalent experience in
</span><span lang="EN" style="font-size:
12.0pt;font-family:"Times New Roman",serif" class="">atmospheric, climate, or other physical or environmental sciences, statistics, applied mathematics, or related disciplines.
<span style="background:white;mso-highlight:white" class="">Candidates keenly interested in developing actionable science that transfers knowledge gained from climate models to health decision makers are encouraged to apply. Candidates should be skilled in
the application of statistical methods, including uncertainty analysis, and be familiar with North American climate. Programming skills in R or Python are highly desirable, as are strong communication skills. Other beneficial experiences include prior work
with downscaled multi-decadal climate projections and/or machine learning methods, and interdisciplinary experience bridging climate science with public health sector applications.
</span>This is a full-time, term-limited position with the initial appointment being for one year with the possibility of renewal subject to satisfactory performance and available funding, for a maximum term of three years.<br class="">
<br class="">
Applicants should apply online </span><span lang="EN" class=""><a href="https://www.princeton.edu/acad-positions/position/20581" target="_blank" class=""><span style="font-size:12.0pt;font-family:"Times New Roman",serif" class="">https://www.princeton.edu/acad-positions/position/20581</span></a></span><span lang="EN" style="font-size:12.0pt;font-family:"Times New Roman",serif" class="">.
Complete applications include a cover letter, CV, publication list, and 3 letters of recommendation. Applications should be accompanied by a statement of research interests outlining the candidate’s vision for a research topic bridging statistically downscaled
climate projections with applications to the heat and human health sector, including the assessment and communication of uncertainties across disciplines. Application deadline is June 25, 2021, 11:59 pm EST. Review of applications will begin immediately and
continue until the position is filled. Princeton is interested in candidates who, through their research, will contribute to the diversity and excellence of the academic community.</span><span lang="EN" class=""><o:p class=""></o:p></span></p>
<p class="MsoNormal" style="margin-top:12.0pt;line-height:normal"><span lang="EN" style="font-size:12.0pt;font-family:"Times New Roman",serif" class="">For additional information, visit
<a href="http://www.gfdl.noaa.gov/heat-and-health-downscaling" class="">www.gfdl.noaa.gov/heat-and-health-downscaling</a> or contact Keith Dixon (<a href="mailto:keith.dixon@noaa.gov" class="">keith.dixon@noaa.gov</a>), Ellen Mecray (ellen.</span><span lang="EN" class=""><a href="mailto:ellen.l.mecray@noaa.gov" class=""><span style="font-size:12.0pt;font-family:
"Times New Roman",serif" class="">l.</span></a></span><span lang="EN" style="font-size:
12.0pt;font-family:"Times New Roman",serif" class=""><a href="mailto:mecray@noaa.gov" class="">mecray@noaa.gov</a>)
or Hunter Jones (<a href="mailto:hunter.jones@noaa.gov" class="">hunter.jones@noaa.gov</a>).<o:p class=""></o:p></span></p>
<p class="MsoNormal" style="margin-top:12.0pt;line-height:normal"><span lang="EN" style="font-size:12.0pt;font-family:"Times New Roman",serif" class="">This position is subject to Princeton University's background check policy.
<o:p class=""></o:p></span></p>
<p class="MsoNormal" style="margin-top:12.0pt;line-height:normal"><span lang="EN" style="font-size:12.0pt;font-family:"Times New Roman",serif" class="">Princeton University is an equal opportunity/affirmative action 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.<o:p class=""></o:p></span></p>
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Anna Valerio :8)<br class="">
Princeton University<br class="">
AOS Program<br class="">
300 Forrestal Road, 209 Sayre Hall<br class="">
Princeton, NJ 08540<br class="">
phone: 609-258-6677<br class="">
fax: 609-258-2850<br class="">
<a href="mailto:apval@princeton.edu" class="">e-mail: apval@princeton.edu</a></div>
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