[ES_JOBS_NET] Postdoctoral Researcher on Sea Level Rise

[John Krasting - NOAA Federal]

Dear Colleages -

We have an open postdoctoral researcher position to study sea level rise at
Princeton / NOAA-GFDL.  Please consider applying and sharing this
opportunity with others.

https://puwebp.princeton.edu/AcadHire/apply/application.xhtml?listingId=21321

Description:

The Atmospheric and Oceanic Sciences Program at Princeton University, in
collaboration with NOAA's Geophysical Fluid Dynamics Laboratory (GFDL),
NOAA's Center for Operational Oceanographic Products and Services (CO-OPS),
and Rutgers University's Earth System Science and Policy Lab seeks a
postdoctoral or more senior researcher to conduct research on decadal to
centennial scale sea level rise. The overall goal of the project is to
contextualize projections of sea level rise from the latest generation of
coupled global climate models developed at NOAA-GFDL against previous
generation simulations and assess opportunities for model improvements to
narrow the uncertainty of sea level projections.

The research at Princeton University/GFDL will focus on how differences in
ocean model resolution and formulation contribute to overall uncertainty in
future sea level projections.  Existing US-based sea level rise scenarios
used in previous National Climate Assessments and by the public for
assessing coastal inundation risk are informed by a probabilistic framework
that combines output from coupled atmosphere-ocean general circulation
models along with the uncertainty associated with other Earth system
processes that contribute to sea level rise. In order to increase the
utility of these scenarios, it is important to understand how the current
generation ocean models simulate patterns of dynamical sea level rise and
ocean heat uptake relative to previous generations and how these
differences translate to overall uncertainty in the probabilistic
framework. The recent hierarchy of models developed by the Geophysical
Fluid Dynamics Laboratory (NOAA/OAR) provides an opportunity to explore
these questions in more detail.

The research at Princeton University/GFDL will focus on connecting a
probabilistic sea level projection framework directly to GFDL's ocean model
output in order to explore how model differences translate into sea level
projection uncertainty.  Potential areas of exploration include the role of
different model horizontal resolutions, differences among climate forcing
scenarios, ocean heat uptake and exchange between the upper ocean and deep
ocean, and global climate sensitivity to greenhouse gas forcing. The
research will require analysis and interpretation of model output,
management of large datasets, and the development of mean-state and
process-level model diagnostics of sea level rise.  The postdoc will be
expected to collaborate with researchers at Princeton, GFDL, CO-OPS, and
Rutgers.

In addition to a quantitative background, the selected candidates will
ideally have one or more of the following attributes: a) a strong
background in physical oceanography, sea level rise dynamics, ocean heat
uptake, or a closely related field, b) demonstrated experience in
conducting analysis of ocean-only and coupled climate model output, and c)
experience in ocean model development or conducting model simulations.
Additional experience in statistical methods is also preferred.  A Ph.D. is
required, preferably in Oceanography or a closely related field. The
initial appointment is for one year with the possibility of a second-year
renewal subject to satisfactory performance and available funding.

Complete applications, including a cover letter, CV, publication list,
research statement (no more than 2 pages incl. references), and 3 letters
of recommendation should be submitted by August 15, 2021, 11:59 pm EST for
full consideration.   Princeton is interested in candidates who, through
their research, will contribute to the diversity and excellence of the
academic community.  Applicants should apply online at
https://www.princeton.edu/acad-positions/position/21321.  For additional
information about the project contact Dr. John Krasting (
John.Krasting at noaa.gov).   This position is subject to Princeton
University's background check policy.
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