The CASCADE project at Lawrence Berkeley National Laboratory (LBNL)
in California, United States is looking for a postdoctoral researcher to develop
and apply statistical methods to the study of extreme weather events in a
changing climate. The postdoc will work with statisticians at the University of
California, Berkeley and climate scientists from LBNL as part of the
interdisciplinary Calibrated and Systematic Characterization,
Attribution, and Detection of Extremes (CASCADE) project.
We seek a statistician with expertise and interest in statistical
methods relevant for climate/atmospheric/environmental science. The
position offers an excellent environment for working with a highly
skilled interdisciplinary team in the Climate Sciences Department and
Computational Research Division at LBNL and the Statistics Department
at UC Berkeley. The expertises of team members include Bayesian and
spatial statistics, climate analysis, climate change detection and
attribution, climate modeling and dynamical systems, and
high-performance computing. The successful candidate will focus on
analysis of a variety of types of extremes including droughts,
downpours, heat waves, atmospheric rivers, tropical cyclones, and
hurricanes. Understanding such events is an area of intensive current
research in the climate science community and of interest to the
public at large.
The goal of this position is to develop and use statistical methods to
detect and characterize extremes with an emphasis on quantifying the
changing risk of these phenomena from anthropogenic influences. The
position entails using a combination of statistical methods such as
spatial and spatio-temporal statistics, extreme value analysis, the
bootstrap, and Bayesian methods to estimate the probabilities of
climate events under different scenarios. A key focus will be to
quantify the uncertainty in the probabilities in light of a wide
variety of sources of uncertainty, including sampling uncertainty and
model error. The researcher will evaluate, extend and implement
existing methods and develop new statistical frameworks and methods.
The researcher will work with climate scientists to apply the methods
to cutting-edge datasets of observations and model output, including
models and data products developed and run at LBNL.
More details and application information available at
https://lbl.taleo.net/careersection/2/jobdetail.ftl?lang=en&job=80496
Informal inquiries can be made to Chris Paciorek at [log in to unmask]
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Christopher Paciorek
Associate Research Statistician, Lecturer
Department of Statistics
University of California, Berkeley
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