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Climate Model Metrics - Postdoctoral Researcher

Entry Level | Full-time
Postdoctoral/Fellowship | livermore, CA | 11/11/2021

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Company Description

Join us and make YOUR mark on the World!

Are you interested in joining some of the brightest talent in the world to strengthen the United States’ security? Come join Lawrence Livermore National Laboratory (LLNL) where our employees apply their expertise to create solutions for BIG ideas that make our world a better place.

We are looking for individuals that demonstrate an understanding of working in partnership with team peers, who engage, advocate, and contribute to building an inclusive culture, and provide expertise to solve challenging problems.

Job Description

We have an opening for a Postdoctoral Researcher to conduct research related to the evaluation of the upstream drivers of precipitation.  The prospective candidate will work with a team of scientists to build a framework for decomposing and understanding model biases in precipitation, particularly among CMIP6 class models.  This position is in the Atmospheric, Earth & Energy Division of the Physical Life Sciences Directorate.

In this role you will

  • Conduct creative and independent research to better understand the drivers of model biases in precipitation location, amount, phase, and timing.
  • Process and analyze observational and model datasets relevant to precipitation and its upstream processes.
  • Publish research results in technical reports and peer-reviewed journals and present technical results at scientific conferences.
  • Pursue independent research interests and interact with a broad spectrum of scientists internally and externally to the Laboratory.
  • Perform other duties as assigned.

Qualifications

  • Ph.D. in atmospheric science, engineering, physics, or a closely related discipline.
  • Experience in one or more of the following areas: precipitation processes, model evaluation, cloud microphysics, convective processes, atmospheric data analysis.
  • Proficient in at least one scientific programming language for modeling and climate data analysis (e.g., Python, Fortran, C++).
  • Experience with large model and observational datasets, modern programming environments, and visualization techniques.
  • Effective ability to collaborate with a team of scientists of diverse backgrounds and ability to travel to coordinate research with collaborators.
  • Proficient verbal and written communication skills, as evidenced by published results and presentations. 

Qualifications we desire

  • Experience with statistical analysis, data science, uncertainty quantification, ensembles, and/or machine learning.

Additional Information

Why Lawrence Livermore National Laboratory?

  • Included in 2020 Best Places to Work by Glassdoor!
  • Work for a premier innovative national Laboratory
  • Comprehensive Benefits Package
  • Flexible schedules (*depending on project needs)
  • Collaborative, creative, inclusive, and fun team environment

Learn more about our company, selection process, position types and security clearances by visiting our Career site

Security Clearance

LLNL is a Department of Energy (DOE) and National Nuclear Security Administration (NNSA) Laboratory.  Most positions will require a DOE L or Q clearance (please reference Security Clearance requirement).  If you are selected, we will initiate a Federal background investigation to determine if you meet eligibility requirements for access to classified information or matter. In addition, all L or Q cleared employees are subject to random drug testing.  An L or Q clearance requires U.S. citizenship.  If you hold multiple citizenships (U.S. and another country), you may be required to renounce your non-U.S. citizenship before a DOE L or Q clearance will be processed/granted.  For additional information please see DOE Order 472.2.

Equal Employment Opportunity

LLNL is an affirmative action and equal opportunity employer that values and hires a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, color, religion, marital status, national origin, ancestry, sex, sexual orientation, gender identity, disability, medical condition, pregnancy, protected veteran status, age, citizenship, or any other characteristic protected by applicable laws.

If you need assistance and/or a reasonable accommodation during the application or the recruiting process, please submit a request via our online form

California Privacy Notice

The California Consumer Privacy Act (CCPA) grants privacy rights to all California residents. The law also entitles job applicants, employees, and non-employee workers to be notified of what personal information LLNL collects and for what purpose. The Employee Privacy Notice can be accessed here.

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