<html><head><meta http-equiv="Content-Type" content="text/html; charset=utf-8"></head><body style="word-wrap: break-word; -webkit-nbsp-mode: space; line-break: after-white-space;" class=""><div class="" style="margin: 0px; font-stretch: normal; line-height: normal; font-family: "Helvetica Neue";">Hi Es_jobs_net,</div><div class="" style="margin: 0px; font-stretch: normal; line-height: normal; font-family: "Helvetica Neue";"><br class=""></div><div class="" style="margin: 0px; font-stretch: normal; line-height: normal; font-family: "Helvetica Neue";">I have a new postdoc opening: Can you please distribute the following job ad to your list?</div><div class="" style="margin: 0px; font-stretch: normal; line-height: normal; font-family: "Helvetica Neue";"><br class=""></div><div class="" style="margin: 0px; font-stretch: normal; line-height: normal; font-family: "Helvetica Neue";">Many thanks,</div><div class="" style="margin: 0px; font-stretch: normal; line-height: normal; font-family: "Helvetica Neue";"><br class=""></div><div class="" style="margin: 0px; font-stretch: normal; line-height: normal; font-family: "Helvetica Neue";">Mike.</div><div class=""><b class=""><br class=""></b></div><div class=""><b class=""><br class=""></b></div><div class=""><b class="">Postdoctoral position in analyzing and understanding the emergent behavior of unusually high-resolution multi-scale climate simulations<br class=""></b><br class="">Mike Pritchard<br class="">Associate Professor </div><div class=""><br class=""></div><div class="">I am seeking a motivated early career scientist to engage in collaborative work between <a href="http://sites.ps.uci.edu/pritchard" class="">our research group</a> at the University of California, Irvine and an exciting team of DOE collaborators involved in next-generation Multiscale Modeling Framework (MMF) development towards increasingly explicit cloud- and boundary-layer turbulence-permitting global climate simulation. If this is of interest please feel free to apply here: <a href="https://recruit.ap.uci.edu/JPF06737" class="">https://recruit.ap.uci.edu/JPF06737</a></div><div class=""><br class=""><b class="">Position perks:<br class=""></b><br class=""><div class=""><span class="Apple-tab-span" style="white-space: pre;"> </span>• Annual salary: $55k-70k USD + quality U. California medical, dental, retirement benefits.<br class=""><br class=""></div><div class=""><span class="Apple-tab-span" style="white-space: pre;"> </span>• Flexible start date, through Fall 2021.<br class=""><br class=""></div><div class=""><span class="Apple-tab-span" style="white-space: pre;"> </span>• Remote work optional; international possible with approval.<br class=""><br class=""></div><div class=""><span class="Apple-tab-span" style="white-space: pre;"> </span>• Two years, pending good progress following an annual assessment.<br class=""><br class=""></div><div class=""><span class="Apple-tab-span" style="white-space: pre;"> </span>• Supportive department: excellent admin support, postdoc community, early-career Slack.<br class=""><br class=""></div><b class="">Your qualifications:</b><br class=""><br class=""><div class=""><span class="Apple-tab-span" style="white-space: pre;"> </span>• An expected or recent atmospheric science PhD & familiarity with tropical climate dynamics and/or subtropical boundary layer cloud physics, and/or issues with their representation in climate models.<br class=""><br class=""></div><div class=""><span class="Apple-tab-span" style="white-space: pre;"> </span>• Proficient in analysis of large climate model datasets, ideally including simulations of explicit convection, with physical insight and observational validation.<br class=""><br class=""></div><div class=""><span class="Apple-tab-span" style="white-space: pre;"> </span>• Comfortable working on remote clusters, doing interactive data visualization, general data wrangling, etc.<br class=""><br class=""></div><div class=""><span class="Apple-tab-span" style="white-space: pre;"> </span>• Independent, collegial and open to multi-institutional collaborations.<br class=""><br class=""><b class="">Perks of our group:</b><br class=""><br class=""><div class=""><span class="Apple-tab-span" style="white-space: pre;"> </span>• Collaboration: Internally with 3 PhD students and 4 senior staff plus external networking with friendly colleagues working on similar themes at U. Washington.<br class=""><br class=""></div><div class=""><span class="Apple-tab-span" style="white-space: pre;"> </span>• Computing: Millions of CPU-hours, thousands of GPU-hours, as needed.<br class=""><br class=""></div><div class=""><span class="Apple-tab-span" style="white-space: pre;"> </span>• Technical training opportunities:<br class=""><br class=""><div class=""><span class="Apple-tab-span" style="white-space: pre;"> </span>• (By me): Interpreting cloud superparameterization results, history of MMFs and high-res climate modeling, efficient data analysis, untangling causality.<br class=""><br class=""></div><div class=""><span class="Apple-tab-span" style="white-space: pre;"> </span>• (By the group): Synchronous Jupyter notebook-based inquiry of details of explicit convection results at scale; modern issues in tropical climate dynamics.<br class=""><br class=""></div><div class=""><span class="Apple-tab-span" style="white-space: pre;"> </span>• (via ECP collaborators): Advanced software development for exascale computing, refactoring fortran / C++ turbulence code for GPU, performance portability, managing open-source software development, team science.<br class=""><br class=""></div></div></div><b class="">Project description:</b><br class=""><br class="">We are seeking an ambitious early career scientist who is interested in analyzing and exploring the emergent climate dynamics produced from a new generation of multi-scale climate modeling framework (i.e. MMF). The MMF approach of embedding cloud resolving models (CRMs) within a host climate model has been substantially refactored by the DOE to run on one of the world’s best GPU-based supercomputers. Thus new simulations exist that are able to push ambitious resolution frontiers well beyond those of historical MMFs. The goal of this position is to understand the resulting climate dynamics through in-depth analysis and physical inquiry, in order to illuminate multi-scale dynamics and identify practical tradeoffs of relaxing some traditional assumptions of multi-scale climate simulations such as:<br class=""><br class=""><div class=""><span class="Apple-tab-span" style="white-space: pre;"> </span>• Refining exterior resolution from 150-km to 25-km -- with interesting effects on the tropical diurnal cycle, tropical cyclogenesis and monsoon depressions,<br class=""><br class=""></div><div class=""><span class="Apple-tab-span" style="white-space: pre;"> </span>• Radically increasing the interior horizontal resolution of embedded cloud-resolving arrays from 4-km to < 500-m grid spacing for explicit PBL dynamics, and<br class=""><br class=""></div><div class=""><span class="Apple-tab-span" style="white-space: pre;"> </span>• Increasing dimensionality of the embedded CRMs from 2D to 3D and allowing explicit convective momentum transport to feed back with large scale climate dynamics.<br class=""><br class="">The work is to be in close collaboration with a talented group of software engineers, turbulence experts, numerical methods enthusiasts, and tropical climate dynamicists, based at or affiliated with the US Department of Energy’s Lawrence Livermore, Sandia, and Oak Ridge National Laboratories. Funding is through the auspices of the DOE’s Exascale Computing Project. Novel next-generation MMF model output data already exist and are being actively generated through this project, at two complementary limits: (1) multi-year simulations with 25-km exterior resolution (i.e. a million embedded CRMs instead of the typical ten thousand) and (2) short-term hindcasts at 100-km exterior resolution but with unusually high vertical resolution and PBL-eddy-permitting 3D horizontal CRM resolution, for low cloud dynamics; on the latter topic there is synergistic potential to collaborate with a talented UCI postdoc and our U. Washington collaborators who are also studying the limits of “ultra-parameterization”.<br class=""><br class="">Please apply online at <a href="https://recruit.ap.uci.edu/JPF06737" class="">https://recruit.ap.uci.edu/JPF06737</a> with a cover letter that also describes your immediate and long-term research goals, a curriculum vitae including publications list, and names for three letters of reference (please do not solicit letters).<br class=""><br class="">The Earth System Science Department at UC Irvine is a highly interdisciplinary environment comprising ~ 25 faculty with expertise across many components of the Earth System, including atmospheric and climate dynamics, land surface processes, terrestrial and marine biogeochemical cycles, ice sheets, and human systems. The University of California, Irvine is an Equal Opportunity/Affirmative Action Employer advancing inclusive excellence. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected categories covered by the UC nondiscrimination policy.</div></div></body></html>