[ES_JOBS_NET] two postdoctoral scientists, Atmospheric Sciences and Global Change Division at Pacific Northwest National Laboratory (PNNL)
christine.wiedinmyer.ucar at gmail.com
Mon Sep 11 15:43:48 MDT 2017
The Atmospheric Sciences and Global Change Division at Pacific Northwest
National Laboratory (PNNL) seeks two postdoctoral scientists to mainly work
on a project related to severe thunderstorm modeling and observational
analysis. One position will be mainly focus on high-resolution modeling and
observational analysis of severe storms to understand dynamical and physical
factors impacting severe storms including changes in temperature, land
surface, and aerosols (Position #1). The other position (Position #2) is
about conducting and possibly improving global climate models (GCMs)
simulations at regionally-refined configuration, evaluating the performance
of such simulations in simulating severe storm properties, and performing
observational analysis of long-term and field campaign data, to gain solid
understanding of the past and future changes of severe thunderstorms.
Equal Employment Opportunity
PNNL is an Equal Opportunity/Affirmative Action Employer that is committed
to hiring a diverse, talented workforce. EOE Disability/Vet/M/F/Sexual
Orientation/Gender Identity. Staff at PNNL must be able to demonstrate the
legal right to work in the United States.
Candidates must have received a PhD within the past five years (60 months)
or within the next 8 months from an accredited college or university.
The candidate should have demonstrated expertise in severe storm dynamics
and physics, and CRM/LES modeling. The candidate should have experience in
global climate modeling, severe storm dynamics and physics, and convective
parameterizations. Proficiency with FORTRAN in atmospheric modeling is
required. Understanding of atmospheric and land-surface observational data
and familiar with the observational data assimilation and analysis are
pluses. Teamwork and strong communication skills for engaging with project
teams are essential.
Demonstrated familiarity with numerical modeling and analysis of the
atmosphere and severe weather
Excellent written and oral communication skills in English
Ability to work collaboratively in interdisciplinary teams.
Interest in contributing to an active intellectual environment
Demonstrated expertise in physical understanding of severe storm related
Familiarity with high performance computing, and statistical analysis
Experience with land-atmosphere interactions, aerosol-cloud interactions,
and data assimilation.
Experience with computer languages usually used for climate modeling and
analysis (Fortran, Python, R, NCL, Matlab, IDL, etc.)
Familiarity with Linux/Unix computational environments
A PhD in Atmospheric Science, Hydrology, Physics or related subject is
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