Pacific Northwest National Laboratory Jobs

Job Information

Pacific Northwest National Laboratory Research Scientist - Aerosols & Clouds in RICHLAND, Washington

Organization and Job ID

Job ID: 310092

Directorate: Earth & Biological Sciences

Division: Atmospheric Sciences & Global Change

Group: Earth System Analysis & Modeling

Job Description

The Atmospheric Sciences and Global Change Division at Pacific Northwest National Laboratory (PNNL) seeks a research scientist to develop robust and computationally efficient parameterizations for aerosol and cloud processes in the Energy Exascale Earth System Model (E3SM) Atmosphere Model (EAM) running at global convection-permitting resolutions. The incumbent will work on one or more of the following components:

  • developing new process representation for aerosols or clouds based on observations and large-eddy simulations using novel data-model integration techniques such as machine learning or data assimilation;

  • improving the accuracy and efficiency of numerical methods for individual parameterizations and their coupling, speeding up code execution using mixed-precision calculations, and developing testing strategies and software to ensure code trustworthiness;

  • developing methodologies of evaluating E3SM at convection-permitting scales using a wide range of routine and field campaign measurements of meteorology, radiation, clouds, and aerosol properties; or

  • developing and using a model hierarchy that includes single column model and regionally refined mesh to assess the impact of the new parameterizations on weather and climate. The incumbent will work in close collaboration with atmospheric and computational scientists at PNNL, Sandia National Laboratories, and various universities.

When applying please include the following in a single document:

  • Cover letter describing your research experience and interests;

  • Curriculum vitae with list of publications in refereed journals;

  • Names and addresses of three references.

The hiring level will be determined based on the education, experience and skill set of the successful candidate based on the following :

Level 2 : Leads specific tasks of the project to meet scope, schedule and budget. Expected to contribute professionally, building a professional reputation for technical expertise. Fully applying and interpreting standard theories, principles, methods, tools and technologies. Contributes technical content to proposals and develops business through excellent project performance.

Level 3 : Manages small to moderate projects and/or major project tasks. Integrates intellectual and technical capabilities of work teams. Enhances technical/professional skills of junior staff through active mentoring and training. Generates ideas for new proposals and participates in business development activities

Minimum Qualifications

  • BS with 2+ years’ experience, or advanced degree;

  • Demonstrated experience in running codes of atmospheric general circulation models (e.g., EAM, CAM, WRF);

  • Demonstrated experience studying processes that control the aerosol or cloud lifecycle;

  • Demonstrated experience analyzing large datasets;

  • Fluency in Fortran, C++, and Python/shell scripting;

  • Experience with high-performance computing environments;

  • Strong interpersonal communication skills;

  • Ability to publish work in peer-reviewed journals;

  • Strong team player with the willingness and ability to work independently.

Preferred Qualifications

  • PhD in atmospheric science, meteorology, or other related field with 2+ years’ experience;

  • Demonstrated experience developing codes of atmospheric general circulation models (e.g., EAM, CAM, WRF);

  • Experience with data-model integration techniques;

  • Experience with machine learning techniques.

Equal Employment Opportunity

Battelle Memorial Institute (BMI) at Pacific Northwest National Laboratory (PNNL) is an Affirmative Action/Equal Opportunity Employer and supports diversity in the workplace. All employment decisions are made without regard to race, color, religion, sex, national origin, age, disability, veteran status, marital or family status, sexual orientation, gender identity, or genetic information. All BMI staff must be able to demonstrate the legal right to work in the United States. BMI is an E-Verify employer. Learn more at

Directorate: Earth & Biological Sciences

Job Category: Scientists/Scientific Support

Group: Earth Systems Analysis & Model

Opening Date: 2019-11-06

Closing Date: 2020-01-24