Post-Doctoral Position

The Center for Western Weather and Water Extremes, (CW3E; cw3e.ucsd.edu) is a research and
applications center established in 2014 at the Scripps Institution of Oceanography by its Director, Dr.
F. Martin Ralph. CW3E focuses on the physical understanding, observations, and predictions of
extreme weather and water events to support effective policies and practices to improve resilience in
the Western U.S. CW3E carries out its goals with a diverse network of research and operational
partners at several other institutions across the U.S. and internationally. Individuals will be joining a
group of several existing Postdoctoral scholars and graduate students, and a number of experienced
faculty, researchers, and staff at Scripps who are involved with CW3E.
CW3E seeks to hire TWO Post-Doctoral researchers with a background in meso–synoptic-scale
meteorology and applied climatology. The post-docs will apply their knowledge to explore the
contributions of atmospheric rivers (ARs) and other atmospheric phenomena to precipitation extremes
and their hydrologic impacts associated with flooding and water resources across the U.S. The
successful candidates will also (1) develop methods to leverage and integrate climatologies of ARs
with precipitation estimates and forecast data to improve understanding of AR-related and non-ARrelated quantitative precipitation forecast skill, and (2) be an active participant on the AR forecasting,
flight planning, and modeling teams as part of AR Reconnaissance.
Applicants should have 0-2 years of Postdoctoral experience or be nearing completion of their Ph.D.
(estimated within 3–6 months) and be self-motivated and hard-working. Good written and verbal
communication skills, including the ability to produce scientific publications and presentations and
meet project milestones are required. Strong analytical backgrounds with a Ph.D. in computer science,
atmospheric science, meteorology, climate science, hydrology, statistics, or environmental engineering
is preferred. Programming experience working in a Unix environment with experience in
meteorological scripting languages such as Python, R, or Matlab is highly desirable. Successful
applicants should be comfortable working independently with large code libraries and databases,
utilizing large meteorological data sets, and producing visualizations. Experience running mesoscale
models such as the Weather Research and Forecasting (WRF) model or the Model for Prediction
Across Scales (MPAS) is also desired, but not required.
Per normal Postdoctoral appointment policies, all positions are envisioned as being initially for 1-year,
with extension possible contingent upon performance and availability of funding. The University of
California San Diego is an Affirmative Action / Equal Opportunity Employer (AA/EOE).

To apply for this job email your details to jcordeira@ucsd.edu