[ES_JOBS_NET] postdoc position - Statistical Downscaling for Heat & Health Applications (NOAA & Princeton U. - New Jersey)

[Keith Dixon - NOAA Federal]

Postdoc Position - Heat and Health Applications of Statistical Downscaling

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 NOAA's Geophysical 
Fluid Dynamics Laboratory / Princeton University. The successful 
candidate's project will be coordinated with GFDL's Empirical 
Statistical Downscaling science team, and will be directly relevant to 
public health audiences' use of climate projections for decision-making.**

The formal position announcement is 
https://www.princeton.edu/acad-positions/position/31521 __

Please visit www.gfdl.noaa.gov/heat-and-health-downscaling 
<http://www.gfdl.noaa.gov/heat-and-health-downscaling> for additional 
information about the project and current team members.

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. 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.
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.

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.
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