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Atmospheric Science-Postdoctoral Researcher

Entry Level | Full-time
Physical Life Sciences | livermore, CA | 03/17/2023

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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 committed to a diverse and equitable workforce with an inclusive culture that values and celebrates the diversity of our people, talents, ideas, experiences, and perspectives. This is essential to innovation and creativity for continued success of the Laboratory’s mission.

Pay:  $108,840  Annually

This position is under a step structure.  Please note that the step placement is determined by your most recent completed academic year.

Job Description

We are excited to offer an opportunity for a Postdoctoral Researcher to conduct research in atmospheric modeling for a variety of applications including wind energy, flow over complex terrain, and transport and dispersion of hazardous materials.  Research projects for these applications require multi-scale atmospheric modeling, spanning from the mesoscale to the microscale, and often require development of the atmospheric simulation codes for improved performance. Familiarity with turbulence and surface-layer modeling, including canopy models, is desired, as is knowledge of atmospheric physics parameterizations.  You will work with a multidisciplinary team of scientists, engineers, programmers, and project managers to develop and apply new modeling capabilities for wind energy assessments, meteorological forecasts in complex terrain, and assessing the consequences of hazardous atmospheric releases. This position is in the Atmospheric, Earth & Energy Division, Atmospheric Science Research and Applications Group.

In this role, you will

- Conduct creative research in the field of atmospheric modeling, especially using the WRF model
- Develop, validate, and apply computer models performing dynamically downscaled atmospheric simulations over complex terrain.
- Analyze model and observational datasets relevant to wind energy and transport and dispersion applications.
- Document research by publishing papers in peer-reviewed journals and present technical results at scientific conferences.
- Collaborate with others in a multidisciplinary team environment to accomplish research goals.
- Perform other duties as assigned.


- Recent PhD in atmospheric science, mechanical, civil or environmental engineering, computational science, or a closely related field.
- Experience in one or more of the following areas: atmospheric science, multi-scale or microscale atmospheric modeling, turbulence and surface-layer modeling, canopy models, regional atmospheric flow, atmospheric boundary layer dynamics, computational fluid dynamics, large-eddy simulation, atmospheric chemistry, aerosol science, wildfire modeling, or field data analysis.
- Experience with numerical methods and modern model development practices.
- Familiarity with programming languages including Fortran, Python, and MATLAB.
- Experience conducting research in atmospheric science, engineering, or a closely related field.
- Travel as required to collaborate with researchers or attend meetings and conferences.
- Experience with large model and observational datasets, modern programming environments, and visualization techniques.
- Proficient verbal and written communication skills, as evidenced by published results and presentations.

Desired Qualifications

- Experience with the Weather Research and Forecasting (WRF) model.
- Familiarity with MPI/ OpenMP or GPU programming for supercomputing.
- Experience with atmospheric boundary layer turbulence, uncertainty quantification, ensembles, statistical analysis.

Additional Information

All your information will be kept confidential according to EEO guidelines.  This position does not require US citizenship.

Position Information

This is a Postdoctoral appointment with the possibility of extension to a maximum of three years, open to those who have been awarded a PhD at time of hire date.

Why Lawrence Livermore National Laboratory?

Security Clearance

None required.  However, if your assignment is longer than 179 days cumulatively within a calendar year, you must go through the Personal Identity Verification process.  This process includes completing an online background investigation form and receiving approval of the background check.  (This process does not apply to foreign nationals.) 

Pre-Employment Drug Test

External applicant(s) selected for this position must pass a post-offer, pre-employment drug test. This includes testing for use of marijuana as Federal Law applies to us as a Federal Contractor.

Equal Employment Opportunity

We are an equal opportunity employer that is committed to providing all with a work environment free of discrimination and harassment. 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.

We invite you to review the Equal Employment Opportunity posters which include EEO is the Law and Pay Transparency Nondiscrimination Provision.

Reasonable Accommodation

Our goal is to create an accessible and inclusive experience for all candidates applying and interviewing at the Laboratory.  If you need a reasonable accommodation during the application or the recruiting process, please use our online form to submit a request. 

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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