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Postdoc Position - Heat and Health Applications of Statistical
Downscaling<br>
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Princeton University's Atmospheric and Oceanic (AOS) Sciences
Program, in cooperation with NOAA's Geophysical Fluid Dynamics
Laboratory (GFDL), the National Integrated Heat Health
Information System (NIHHIS) [heat.gov], and the
NOAA/NESDIS/National Centers for Environmental Information
(NCEI) Regional Climate Services Program-Eastern Region, seeks
applications for a postdoctoral or more senior research
scientist to conduct research to advance the development and
delivery of place-based climate information products and
services that help NOAA's health sector stakeholders (e.g.,
public health agencies) make science-informed decisions. This
position is based at N<span class="linkified">OAA's Geophysical
Fluid Dynamics Laboratory </span>/ Princeton University. The
successful candidate's project will be coordinated with GFDL's <span
class="linkified">Empirical Statistical Downscaling science
team, </span>and will be directly relevant to public health
audiences' use of climate projections for decision-making.<strong></strong><br>
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The formal position announcement is <a
href="https://www.princeton.edu/acad-positions/position/31521"
class="moz-txt-link-freetext">https://www.princeton.edu/acad-positions/position/31521</a> <font
color="#0000ff"><u> </u></font><br>
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Please visit <a
href="http://www.gfdl.noaa.gov/heat-and-health-downscaling"
class="linkified" target="_blank" moz-do-not-send="true">www.gfdl.noaa.gov/heat-and-health-downscaling</a>
for additional information about the project and current team
members.<br>
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Candidates who have, and are interested in further developing,
skills in applying actionable science that transfers knowledge
gained from climate models to applied researchers and decision
makers are encouraged to apply. We seek applicants with a Ph.D.
or equivalent experience in physical geography,
statistics/biostatistics, environmental, climate, atmospheric,
physical sciences. 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. <span
style="white-space: pre-wrap">We anticipate the post-doc to engage regularly with governmental and non-governmental colleagues and stakeholders, and to co-produce climate model output aligned with health sector needs.
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Broadly speaking, this is an effort aiming to strengthen links
between researchers who generate climate change projection data
products and those who use that info in decision-making
applications related to heat and human health. Project specifics
will be determined by the candidate's experience and alignment
of project goals with NOAA priorities.<br>
<br>
Review of applications will begin immediately and continue until
the position is filled. This position is subject to Princeton
University's background check policy. 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.<br>
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