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CASCADE Extreme Weather Postdoctoral Scholar

Job in Berkeley, Alameda County, California, 94709, USA
Listing for: The International Society for Bayesian Analysis
Full Time position
Listed on 2025-11-17
Job specializations:
  • Research/Development
    Research Scientist, Data Scientist, Postdoctoral Research Fellow, Biomedical Science
  • Science
    Research Scientist, Data Scientist, Biomedical Science
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below
CASCADE Extreme Weather Postdoctoral Scholar

Aug 15, 2018

Visit (Use the "Apply for this Job" box below). to apply.

The Climate and Ecosystem Sciences Division at Lawrence Berkeley National Laboratory (Berkeley Lab) invites applications for a CASCADE Extreme Weather 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.

This position calls for an individual with experience in extreme weather/climate phenomena, climate modeling, and statistical analysis. 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.

You will work closely with a team that is developing multiple advanced methods for detecting and characterizing extreme weather events and their corresponding climatology. The work will focus on developing and or utilizing advanced extreme value analysis and detection methods for a variety of weather processes and phenomena, including: atmospheric rivers, extratropical cyclones, tropical cyclones, fronts, and mesoscale convective systems. 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 precipitation.

You will have the opportunity to contribute to the development of methods for application to observational and model-based datasets. The candidate will also have the opportunity to work closely with a vibrant, multidisciplinary team that includes experts in atmospheric science, statistics, and computer science. The position will entail the use of world-class High Performance Computing resources at the National Energy Research Scientific Computing center (NERSC), and it will potentially involve the use and evaluation of a new, cutting edge climate model: the Energy Exascale Earth-system Model (E3SM).

The work will require skills in:
1. Novel and practical application of statistical analyses to relevant problems in climate science and extreme value analysis.
2. Application of a wide array of observations to evaluate weather systems in Earth system models.
3. Investigation of the connections between atmospheric phenomena and their underlying physics and dynamics.
4. Oral and written presentation of results.
5. Ability to work in an integrated team environment.

What You Will Do:

– Develop and use advanced methods for detecting extreme weather events in climate simulations.
– Evaluate precipitation statistics, from an event-focused perspective, in observations and climate model output.
– Run and/or use advanced Earth System Models to test hypotheses about how natural variability and external forcing interact to modulate extreme weather systems.
– 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:

– Recent Ph.D. in statistics, atmospheric science, physics, applied mathematics, environmental engineering science, computer 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 R and Python).
– Demonstrated excellent oral and written communications skills for presentation of research.
– Ability to work effectively in a large and integrated team.

The posting shall remain open until the position is filled.

Notes:
– This is a full time, 1 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 4 years paid postdoctoral…

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