<html><head><meta http-equiv="Content-Type" content="text/html charset=windows-1252"><meta http-equiv="Content-Type" content="text/html charset=windows-1252"><meta http-equiv="Content-Type" content="text/html charset=windows-1252"><meta http-equiv="Content-Type" content="text/html charset=windows-1252"><meta http-equiv="Content-Type" content="text/html charset=windows-1252"><meta http-equiv="Content-Type" content="text/html charset=windows-1252"><meta http-equiv="Content-Type" content="text/html charset=windows-1252"></head><body style="word-wrap: break-word; -webkit-nbsp-mode: space; -webkit-line-break: after-white-space;"><br><div apple-content-edited="true"><div><div style="orphans: 2; widows: 2; margin: 0px;">-----------------------------------------</div><div style="orphans: 2; widows: 2; margin: 0px; min-height: 15px; font-family: 'Times New Roman';"><font class="Apple-style-span" face="Optima"><font class="Apple-style-span" style="font-size: 12px;"><br></font></font></div><div style="orphans: 2; widows: 2; margin: 0px; min-height: 15px; font-family: 'Times New Roman';"><div style="margin: 0px; font-family: Optima;"><div style="margin: 0px;"><div style="margin: 0px;"><div style="margin: 0px;"><div style="margin: 0px; font-size: 10px;"><div style="margin: 0px;"><b>CASCADE Statistics Postdoctoral Fellow - 80496</b></div><div style="margin: 0px;"><b>Organization: ES-Earth Sciences</b></div><div style="margin: 0px; min-height: 12px;"><b> </b></div><div style="margin: 0px;"><b>Position Summary:</b></div><div style="margin: 0px;">The CASCADE project at Lawrence Berkeley National Laboratory (LBNL) 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.</div><div style="margin: 0px; min-height: 12px;"><br></div><div style="margin: 0px;">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.</div><div style="margin: 0px; min-height: 12px;"><br></div><div style="margin: 0px;">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.</div><div style="margin: 0px; min-height: 12px;"><br></div><div style="margin: 0px;"><b>Specific Responsibilities:</b></div><div style="margin: 0px;"> Develop and apply statistical methods for detection and attribution of changes in extreme events.</div><div style="margin: 0px;"> Quantify the uncertainty in model simulations due to sampling uncertainty, model formulation, and boundary conditions.</div><div style="margin: 0px;"> Compare statistical analyses of observed extreme weather to climate simulations of the past and future to evaluate the fidelity of models.</div><div style="margin: 0px;"> Produce and deliver oral and written presentations of scientific results.</div><div style="margin: 0px;"> Work effectively in a large and integrated team.</div><div style="margin: 0px; min-height: 12px;"><b></b><br></div><div style="margin: 0px;"><b>Essential Qualifications:</b></div><div style="margin: 0px;"> PhD in statistics or a related technical field to be completed as of the start date for this position.</div><div style="margin: 0px;"> Experience with statistical methods and applications in climate/atmospheric/environmental science, in particular expertise in one or more of the following areas: spatial statistics, time series analysis, and/or Bayesian statistics</div><div style="margin: 0px;"> Excellent written and oral communication skills.</div><div style="margin: 0px;"> Ability to work collaboratively in interdisciplinary teams.</div><div style="margin: 0px;"> Interest in contributing to an active intellectual environment.</div><div style="margin: 0px; min-height: 12px;"><b></b><br></div><div style="margin: 0px;"><b>Additional desired qualifications:</b></div><div style="margin: 0px;"> Experience in climate science, climate modeling, and dynamical systems.</div><div style="margin: 0px;"> Experience with large datasets and efficient computation, including parallel processing.</div><div style="margin: 0px;"> Experience with multiple testing, the bootstrap, extreme value analysis, experimental design.</div><div style="margin: 0px;"> Experience with R or Python</div><div style="margin: 0px; min-height: 12px;"><br></div><div style="margin: 0px;"><b>Notes: </b>Berkeley Lab understands the postdoctoral experience in a research environment is unique. We are committed to the growth and development of early career researchers in pursuit of becoming next generation scientists and engineers.</div><div style="margin: 0px; min-height: 12px;"><br></div><div style="margin: 0px;">This is a 1-year term appointment with the possibility of renewal based upon satisfactory job performance, continuing availability of funds, and ongoing operational needs. Salary for postdoctoral positions depends on years of experience post-degree.</div><div style="margin: 0px; min-height: 12px;"><br></div><div style="margin: 0px;">This position requires completion of a background check.</div><div style="margin: 0px; min-height: 12px;"><br></div><div style="margin: 0px;"><b>How To Apply</b></div><div style="margin: 0px;">Apply directly online at <a href="http://50.73.55.13/counter.php?id=29209">http://50.73.55.13/counter.php?id=29209</a> and follow the on-line instructions to complete the application process. </div><div style="margin: 0px; min-height: 12px;"><br></div><div style="margin: 0px;">Berkeley Lab addresses the worlds most urgent scientific challenges by advancing sustainable energy, protecting human health, creating new materials, and revealing the origin and fate of the universe. Founded in 1931, Berkeley Labs scientific expertise has been recognized with 13 Nobel prizes. The University of California manages Berkeley Lab for the U.S. Department of Energys Office of Science.</div><div style="margin: 0px; min-height: 12px;"><br></div><div style="margin: 0px;">Berkeley Lab is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, age or protected veteran status</div></div></div></div></div></div></div><div style="orphans: 2; widows: 2; margin: 0px; min-height: 15px; font-family: 'Times New Roman'; font-size: 12px;"><font class="Apple-style-span" face="Optima"><font class="Apple-style-span" size="4"><span class="Apple-style-span" style="font-size: 14px;"><br></span></font></font></div><div style="orphans: 2; widows: 2; margin: 0px; min-height: 15px; font-family: 'Times New Roman'; font-size: 12px;"><font class="Apple-style-span" face="Optima"><font class="Apple-style-span" size="4"><span class="Apple-style-span" style="font-size: 14px;"><br></span></font></font></div><div style="orphans: 2; widows: 2; margin: 0px; min-height: 15px;"></div><div style="orphans: 2; widows: 2; margin: 0px; min-height: 15px;"><br></div><div style="orphans: 2; widows: 2; margin: 0px;"><br></div><div style="orphans: 2; widows: 2; margin: 0px;"><br></div><div style="orphans: 2; widows: 2; margin: 0px; font-size: 12px;"><br></div><div style="orphans: 2; widows: 2; margin: 0px; font-size: 12px;"><font class="Apple-style-span" size="4"><span class="Apple-style-span" style="font-size: 14px;"><br></span></font></div><div style="orphans: 2; widows: 2; margin: 0px; font-size: 12px;"><font class="Apple-style-span" face="Helvetica"><font class="Apple-style-span" face="Optima"><font class="Apple-style-span" size="4"><span class="Apple-style-span" style="font-size: 14px;"><b>Jennifer Reddell</b><b><br></b><font class="Apple-style-span" color="#737373"><b>Ad Club Advertising</b></font><div style="margin: 0px;">Direct: 209.343.1914</div><div style="margin: 0px;">Toll Free: 800.333.1228<font class="Apple-style-span" size="3"><span class="Apple-style-span" style="font-size: 12px;"><font class="Apple-style-span" size="4"><span class="Apple-style-span" style="font-size: 14px;"><br></span></font><font class="Apple-style-span" size="4"><span class="Apple-style-span" style="font-size: 14px;">Toll Free Fax: 800.759.4675</span></font></span></font></div><div style="margin: 0px;"><b style="color: rgb(115, 115, 115);"><a href="mailto:jennifer@adclub.com">jennifer@adclub.com</a></b></div></span></font></font></font></div></div>
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