[ES_JOBS_NET] S2S Postdoctoral Researcher Position at CW3E/Scripps/University of California San Diego

[Michael Deflorio]

Location: La Jolla, California.



To apply: Send CV, cover letter, and three references to Mike DeFlorio (
mdeflorio at ucsd.edu).



Deadline: Position is available immediately, but applicants will be
considered until the position is filled.



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 a Postdoctoral researcher with a background in
subseasonal-to-seasonal (S2S) prediction to develop novel methods for the
prediction of weather parameters as precipitation, atmospheric
river-related quantities (e.g., Integrated Water Vapor Transport – IVT),
temperature, snow accumulation, freezing level and water supply over the
Western U.S. at S2S lead times (2-week to 6-month lead). The successful
candidate will develop novel approaches based on machine learning methods
(e.g., purely statistical, neural network based, and hybrid statistical
dynamical) and leverage existing large ensemble climate model and dynamical
ensemble model output to significantly improve both deterministic and
probabilistic S2S prediction of IVT and precipitation over the western U.S.
Close collaboration with the CW3E Machine Learning Team is encouraged for
this position.



Applicants should have 0-2 years of Postdoctoral experience or be nearing
completion of their Ph.D. (estimated within 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 scripting
languages such as Python, R, or Matlab is highly desirable, along with
experience using common machine learning software (Tensorflow, Keras, CNTK,
PyTorch, Scikit-Learn, etc.) on cloud computing environments (AWS, Azure,
etc.). Successful applicants should be comfortable working independently
with large code libraries and databases, utilizing large meteorological
data sets, and producing visualizations.



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).

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*Dr. Mike DeFlorio* (He/Him
<https://diversity.ucsd.edu/centers-resources/gender-recognition.html#How-can-I-be-respectful-in-the->
)
Research Analyst, Center for Western Weather and Water Extremes (CW3E),
Scripps Institution of Oceanography, University of California, San Diego
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