<html><head><meta http-equiv="Content-Type" content="text/html charset=utf-8"></head><body style="word-wrap: break-word; -webkit-nbsp-mode: space; -webkit-line-break: after-white-space;" class=""><div style="margin: 0px; font-size: 10px; line-height: normal; font-family: Optima;" class=""><b class="">Dynamic Land-Use Ecosystem Modeler Postdoctoral Scholar - 90698</b></div><div style="margin: 0px; font-size: 10px; line-height: normal; font-family: Optima;" class=""><b class="">Organization: CE-Climate & Ecosystems</b></div><div style="margin: 0px; font-size: 10px; line-height: normal; font-family: Optima; min-height: 12px;" class=""><br class=""></div><div style="margin: 0px; font-size: 10px; line-height: normal; font-family: Optima;" class="">Berkeley Lab’s Climate & Ecosystems Division (<a href="https://eesa.lbl.gov/our-divisions/climate-ecosystem-sciences/" class="">https://eesa.lbl.gov/our-divisions/climate-ecosystem-sciences/</a>) has an opening for a Dynamic Land-Use Ecosystem Modeler. </div><div style="margin: 0px; font-size: 10px; line-height: normal; font-family: Optima; min-height: 12px;" class=""><br class=""></div><div style="margin: 0px; font-size: 10px; line-height: normal; font-family: Optima;" class="">In this exciting role, you will model land-use land-cover change (LULCC) impacts to the carbon-water-energy nexus using a unique integrated modeling framework, and predict feedbacks to climate at global and societally-relevant scales. This modeling framework combines multiple land model components; 1) dynamic vegetation with disturbances and plant demography, 2) biogeochemical and climate interactions and 3) representations of human systems, including agriculture and energy sectors. You will incorporate the flow and influence of LULCC within and between each model component.</div><div style="margin: 0px; font-size: 10px; line-height: normal; font-family: Optima; min-height: 12px;" class=""><br class=""></div><div style="margin: 0px; font-size: 10px; line-height: normal; font-family: Optima;" class="">You will work closely with a project called E3SM, the Energy Exascale Earth System Model. The E3SM project is the development of a next-generation Earth system model (ESM). The task for this position is associated with understanding the implications of different energy futures for the biogeochemical cycle through changes in land-use land-cover, water availability, and extreme events.</div><div style="margin: 0px; font-size: 10px; line-height: normal; font-family: Optima; min-height: 12px;" class=""><br class=""></div><div style="margin: 0px; font-size: 10px; line-height: normal; font-family: Optima;" class="">You will work with two types of land-surface ecosystem models, ELM and FATES, and in close connection with the Global Change Analysis Model (GCAM) which explores the human-Earth system. FATES (Functionally Assembled Terrestrial Ecosystem Simulator) simulates vegetation dynamics and life history strategies with size- and age-structured demography, and represents disturbances and vegetation recovery; however, the representation and impact of land-use change is missing. GCAM is featured in E3SM and allows for the ability to represent the full human-Earth system by using its economic, energy, and land-use components to be coupled with the atmosphere, ocean, and land components of E3SM. </div><div style="margin: 0px; font-size: 10px; line-height: normal; font-family: Optima; min-height: 12px;" class=""><br class=""></div><div style="margin: 0px; font-size: 10px; line-height: normal; font-family: Optima;" class="">The main objective for this position is to investigate implications of land-use scenarios based on different climate policy assumptions, when including LULCC into a dynamic vegetation disturbance model that includes shifts between natural and managed land, as well as biogeochemical changes from ELM. These predictions then are used to guide human decision-making of future energy, water, and land use. </div><div style="margin: 0px; font-size: 10px; line-height: normal; font-family: Optima; min-height: 12px;" class=""><br class=""></div><div style="margin: 0px; font-size: 10px; line-height: normal; font-family: Optima;" class=""><b class="">What You Will Do:</b></div><div style="margin: 0px; font-size: 10px; line-height: normal; font-family: Optima;" class="">• Develop modeling capabilities for representing different land-use types within a dynamic vegetation model with plant demography. </div><div style="margin: 0px; font-size: 10px; line-height: normal; font-family: Optima;" class="">• Work with different approaches for model interfacing and coupling between three land models (GCAM, ELM, FATES). </div><div style="margin: 0px; font-size: 10px; line-height: normal; font-family: Optima;" class="">• Ensure consistency of land use and land cover between GCAM, ELM, and FATES. </div><div style="margin: 0px; font-size: 10px; line-height: normal; font-family: Optima;" class="">• Evaluate how ecosystems shifting from natural vegetation to a variety of managed land will impact: carbon stocks, land-subsurface processes, land-atmosphere interactions, and trace gas emissions.</div><div style="margin: 0px; font-size: 10px; line-height: normal; font-family: Optima;" class="">• Test hypotheses for predicting carbon cycle, water cycle, and societal feedbacks from varying forest management under climate change in E3SM; resulting in a peer-reviewed publication(s).</div><div style="margin: 0px; font-size: 10px; line-height: normal; font-family: Optima;" class="">• Explore implications of simulating different energy futures, comparable to different SSPs, with E3SM-GCAM and FATES; resulting in a peer-reviewed publication(s).</div><div style="margin: 0px; font-size: 10px; line-height: normal; font-family: Optima; min-height: 12px;" class=""><br class=""></div><div style="margin: 0px; font-size: 10px; line-height: normal; font-family: Optima;" class=""><b class="">What Is Required:</b></div><div style="margin: 0px; font-size: 10px; line-height: normal; font-family: Optima;" class="">• Ph.D. in ecology, earth sciences, or related field.</div><div style="margin: 0px; font-size: 10px; line-height: normal; font-family: Optima;" class="">• Experience in dynamic and demographic modeling, and/or experience in or knowledge of Integrated Assessment Models (IAMs).</div><div style="margin: 0px; font-size: 10px; line-height: normal; font-family: Optima;" class="">• Knowledge of land-use land-cover change datasets. </div><div style="margin: 0px; font-size: 10px; line-height: normal; font-family: Optima;" class="">• Experience using land-surface biogeochemical models and ecosystem model development.</div><div style="margin: 0px; font-size: 10px; line-height: normal; font-family: Optima;" class="">• Strong coding and mathematical skills. </div><div style="margin: 0px; font-size: 10px; line-height: normal; font-family: Optima;" class="">• Some experience with gridded datasets for Earth scale models. </div><div style="margin: 0px; font-size: 10px; line-height: normal; font-family: Optima;" class="">• Ability to collaborate with colleagues and advisors at multiple institutions. While this position is located at LBNL, it will involve close collaboration with researchers at Pacific Northwest National Laboratory.</div><div style="margin: 0px; font-size: 10px; line-height: normal; font-family: Optima;" class="">• Excellent written and oral presentation skills.</div><div style="margin: 0px; font-size: 10px; line-height: normal; font-family: Optima;" class="">• Record of timely publications.</div><div style="margin: 0px; font-size: 10px; line-height: normal; font-family: Optima; min-height: 12px;" class=""><b class=""></b><br class=""></div><div style="margin: 0px; font-size: 10px; line-height: normal; font-family: Optima;" class=""><b class="">The posting shall remain open until the position is filled.</b></div><div style="margin: 0px; font-size: 10px; line-height: normal; font-family: Optima; min-height: 12px;" class=""><b class=""></b><br class=""></div><div style="margin: 0px; font-size: 10px; line-height: normal; font-family: Optima;" class=""><b class="">Notes: </b></div><div style="margin: 0px; font-size: 10px; line-height: normal; font-family: Optima;" class="">• This is a full time, 2 year, postdoctoral appointment with the possibility of renewal based upon satisfactory job performance, continuing availability of funds and ongoing operational needs. You must have less than 3 years paid postdoctoral experience. Salary for Postdoctoral positions depends on years of experience post-degree.<span class="Apple-tab-span" style="white-space:pre"> </span></div><div style="margin: 0px; font-size: 10px; line-height: normal; font-family: Optima;" class="">• Full-time, M-F, exempt (monthly paid) from overtime pay.</div><div style="margin: 0px; font-size: 10px; line-height: normal; font-family: Optima;" class="">• This position is represented by a union for collective bargaining purposes.</div><div style="margin: 0px; font-size: 10px; line-height: normal; font-family: Optima;" class="">• Salary will be predetermined based on postdoctoral step rates.</div><div style="margin: 0px; font-size: 10px; line-height: normal; font-family: Optima;" class="">• This position may be subject to a background check. Any convictions will be evaluated to determine if they directly relate to the responsibilities and requirements of the position. Having a conviction history will not automatically disqualify an applicant from being considered for employment.</div><div style="margin: 0px; font-size: 10px; line-height: normal; font-family: Optima;" class="">• Work will be primarily performed at Lawrence Berkeley National Lab, 1 Cyclotron Road, Berkeley, CA.</div><div style="margin: 0px; font-size: 10px; line-height: normal; font-family: Optima; min-height: 12px;" class=""><br class=""></div><div style="margin: 0px; font-size: 10px; line-height: normal; font-family: Optima;" class=""><b class="">How To Apply</b></div><div style="margin: 0px; font-size: 10px; line-height: normal; font-family: Optima;" class="">Apply directly online at <a href="http://50.73.55.13/counter.php?id=184117" class="">http://50.73.55.13/counter.php?id=184117</a> and follow the on-line instructions to complete the application process.</div><div style="margin: 0px; font-size: 10px; line-height: normal; font-family: Optima; min-height: 12px;" class=""><br class=""></div><div style="margin: 0px; font-size: 10px; line-height: normal; font-family: Optima;" class=""><b class="">Learn About Us:</b></div><div style="margin: 0px; font-size: 10px; line-height: normal; font-family: Optima;" class="">Working at Berkeley Lab has many rewards including a competitive compensation program, excellent health and welfare programs, a retirement program that is second to none, and outstanding development opportunities. To view information about the many rewards that are offered at Berkeley Lab- Click Here (<a href="https://hr.lbl.gov/" class="">https://hr.lbl.gov/</a>).</div><div style="margin: 0px; font-size: 10px; line-height: normal; font-family: Optima; min-height: 12px;" class=""><br class=""></div><div style="margin: 0px; font-size: 10px; line-height: normal; font-family: Optima;" class="">Berkeley Lab (LBNL, <a href="http://www.lbl.gov/" class="">http://www.lbl.gov/</a>) addresses the world’s 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 Lab’s scientific expertise has been recognized with 13 Nobel prizes. The University of California manages Berkeley Lab for the U.S. Department of Energy’s Office of Science.</div><div style="margin: 0px; font-size: 10px; line-height: normal; font-family: Optima; min-height: 12px;" class=""><br class=""></div><div style="margin: 0px; font-size: 10px; line-height: normal; font-family: Optima;" class="">Equal Employment Opportunity: Berkeley Lab is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status. Berkeley Lab is in compliance with the Pay Transparency Nondiscrimination Provision under 41 CFR 60-1.4 (<a href="https://www.dol.gov/ofccp/PayTransparencyNondiscrimination.html" class="">https://www.dol.gov/ofccp/PayTransparencyNondiscrimination.html</a>). Click here (<a href="https://www.dol.gov/ofccp/regs/compliance/posters/ofccpost.htm" class="">https://www.dol.gov/ofccp/regs/compliance/posters/ofccpost.htm</a>) to view the poster: "Equal Employment Opportunity is the Law".</div><div style="margin: 0px; font-size: 10px; line-height: normal; font-family: Optima; min-height: 12px;" class=""><br class=""></div><div style="margin: 0px; font-size: 10px; line-height: normal; font-family: Optima;" class="">Lawrence Berkeley National Laboratory encourages applications from women, minorities, veterans, and other underrepresented groups presently considering scientific research careers.</div></body></html>