The Climate and Ecosystem Sciences Division at Lawrence Berkeley National
Laboratory (LBNL) invites applications for a CASCADE Climate Statistics
Postdoctoral Scholar to join a project aimed at understanding observed changes
in extreme weather: the Calibrated and Systematic Characterization,
Attribution, and Detection of Extremes (CASCADE) project. Research within
CASCADE advances our understanding of climate extremes and enhances our
ability to attribute and project changes in extremes.
In this exciting role, you will work closely with a team that is developing
novel statistical and ML/AI methodologies for characterizing extreme weather
events and their corresponding climatology. The work will focus on developing
and/or utilizing advanced extreme value analysis and methods for a variety of
weather processes and phenomena, including precipitation, temperature, and
storm systems (e.g., atmospheric rivers, extratropical cyclones, tropical
cyclones, and fronts). Furthermore, characterizing correlated and
multivariate extremes (both over space and for multiple variables) is of
particular interest. The long-term goal of this effort is to understand how
natural variability and external forcings (e.g., greenhouse gasses) interact
to modulate weather systems associated with extreme events.
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.
What You Will Do:
Develop advanced methods for characterizing extreme weather events using
statistical and/or ML/AI methods.
Evaluate temperature and precipitation statistics, from an event-focused
perspective, in observations and climate model output.
Use advanced Earth System Models to test hypotheses about how natural
variability and external forcing interact to modulate extreme weather
Author technical reports and peer-reviewed journal articles.
Work collaboratively in a large multidisciplinary research team.
Successfully contribute to an active intellectual environment.
What is Required:
Ph.D. in statistics, applied mathematics, or computer science.
Demonstrated ability to perform comprehensive statistical and/or ML/AI
analyses making use of different subsets of simulations, evaluation
datasets, and advanced analysis techniques.
Investigation of the connections between atmospheric phenomena and their
underlying physics and dynamics.
Demonstrated proficiency with R and other programming languages.
Demonstrated excellent oral and written communications skills for
presentation of research.
Ability to work effectively in a large and integrated team.
This position will remain open until filled. For full consideration, please
apply by November 7, 2021.
This is a full-time, two year (2), 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 three (3) years of paid postdoctoral experience.
Salary for Postdoctoral positions depends on years of experience post-
This position is represented by a union for collective bargaining
Salary will be predetermined based on postdoctoral step rates.
Based on University of California Policy - SARS-CoV-2 (COVID-19) Vaccination
Program and U.S Federal Government requirements, Berkeley Lab requires that
all members of our community obtain the COVID-19 vaccine as soon as they are
eligible. As a condition of employment at Berkeley Lab, all Covered
Individuals must Participate in the COVID-19 Vaccination Program by providing
proof of Full Vaccination or submitting a request for Exception or Deferral.
Visit covid.lbl.gov for more information.
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.
Work will be primarily performed at Lawrence Berkeley National Lab, 1
Cyclotron Road, Berkeley, CA.
Berkeley Lab is committed to Inclusion, Diversity, Equity and Accountability
(IDEA) and strives to continue building community with these shared values
Berkeley Lab is an Equal Opportunity and Affirmative Action Employer. We
heartily welcome applications from women, minorities, veterans, and all who
would contribute to the Lab's mission of leading scientific discovery,
inclusion, and professionalism. In support of our diverse global community,
all qualified applicants will be considered for employment without regard to
race, color, religion, sex, sexual orientation, gender identity, national
origin, disability, age, or protected veteran status.
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is the Law" and the Pay Transparency Nondiscrimination Provision under 41 CFR