[ES_JOBS_NET] Es_jobs_net mailing list - Geological Postdoctoral Fellow (Climate Sciences), Berkeley, CA

Jennifer Reddell jennifer at adclub.com
Fri May 30 11:25:12 MDT 2014

Please post the below on behalf of Lawrence Berkeley National Laboratory in Berkeley, CA.


Text for IO#:   21856
Posting Date:   05/30/14


Geological Postdoctoral Fellow (Climate Sciences) - 78144
Organization:  ES-Earth Sciences

The Earth Sciences Division at Lawrence Berkeley National Laboratory (Berkeley Lab) invites applications for a Post Doctoral Researcher to join a new project aimed at understanding the possible role of human influence on extreme weather statistics: the Calibrated and Systematic Characterization, Attribution, and Detection of Extremes (CASCADE) project.  Our research will advance our understanding of climate extremes and enhance our ability to attribute and project changes in their risk because of anthropogenic climate change. The position calls for an individual with experience in extreme weather/climate phenomena, climate modeling, and multiscale dynamics of the Earth’s atmosphere. This is an excellent environment for working with a highly skilled interdisciplinary team in the Climate Sciences Department. Berkeley Lab is a renowned center of scientific expertise in many facets of climate-related fundamental and applied science.

The successful candidate will work closely with a team that is focused on systematically improving the fidelity of simulated climate extremes using state-of-the-science Earth system models. The work will focus on several important types of extremes including droughts, downpours, heat waves, atmospheric rivers, tropical cyclones, and hurricanes. The goal of this effort is to determine how best to enhance long-term projections of these phenomena in future climates through systematic development of the multiscale physics in the target Earth system model. The position entails using a combination of scaling theory, short-range forecasts, and in situ and satellite data in order to identify opportunities for improved extreme weather simulation. The Post Doctoral Researcher will have the opportunity to contribute to three other major ‘work packages’ within the CASCADE project, including: attributing and projecting changes in extreme events, application of novel statistical methods for analyzing climate extremes, and development of high performance computational pipelines. The candidate will also have the opportunity to collaborate with a multi-lab consortium toward development of advanced scale-aware representations of critical atmospheric processes. Ultimately, this effort will lead to demonstrable improvements in the target Earth system model and an improved understanding of climate extremes.

The work will require skills in:
(1) intensive use of state-of-the-science Earth system models;
(2) application of a wide array of observations to evaluate climate models;
(3) investigation of the connections between atmospheric phenomena and their underlying physics and dynamics;
(4) oral and written presentation of results; and
(5) ability to work in an integrated team environment.

Key Responsibilities:
• Analyze hydrometeorological extremes simulated by state-of-the-science climate models.
• Evaluate the fidelity of extremes simulated by these models.
• Determine the sensitivity of model fidelity to key aspects of the model’s numerical implementation.
• Work with other model developers to improve the multiscale emulation of climate extremes.
• Author technical reports and peer-reviewed journal articles.
• Produce and deliver oral and written presentations of scientific results.
• Work collaboratively in a large multidisciplinary research team.
• Successfully contribute to an active intellectual environment.

• Recent Ph.D. in atmospheric science, physics, applied mathematics, environmental engineering science, or a closely related field.
• Demonstrated ability to perform comprehensive analyses making use of different subsets of simulations, evaluation datasets, and advanced analysis techniques.
• Demonstrated proficiency with one or more programming languages (especially Python and/or Fortran)
• Demonstrated excellent oral and written communications skills for presentation of research.
• Ability to work effectively in a large and integrated team.

NOTE: This is a 1 year term appointment with the possibility of renewal for up to 5 years based upon satisfactory job performance, continuing availability of funds, and ongoing operational needs.  Salary for post-doctoral positions depends on years of experience post-degree.

How To Apply
Apply directly online at and follow the on-line instructions to complete the application process. 

About Us
The Berkeley Lab Earth Sciences Division's newest department (founded in April 2007), the Climate Sciences Department is dedicated to atmospheric and climate science. With roughly a dozen distinguished scientists, specialists, and technicians, this world-class team will lead the Earth Sciences Division towards creating a new kind of climate model, integrating cutting-edge climate science, such as the pioneering work on the carbon cycle conducted at Berkeley Lab, and drawing on work by scientists at UC Berkeley and other universities and national laboratories. The goal is not to predict climate alone, but also to predict the interactions among climate, water, and energy on a global scale. Learn more athttp://esd.lbl.gov/departments/climate_sciences/.

Berkeley Lab 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. Read about the excellent Total Rewards Program at Berkeley Lab.

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, national origin, disability, age or protected veteran status.


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