Pacific Northwest National Laboratory Jobs

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Job Information

Pacific Northwest National Laboratory Research Scientist, Machine Learning & Climate Science in SEATTLE, Washington

Organization and Job ID

Job ID: 311903

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 research scientists to apply artificial intelligence (AI) and machine learning (ML) approaches to address key challenges in climate science. The incumbents will use AI and ML techniques in conjunction with Earth system models to improve understanding and predictability of the Earth system. The ability to analyze large observational (long-term monitoring or short-term field campaign) data sets for model evaluation is desirable. The incumbents will work in close collaboration with a team of Earth system modelers, atmospheric scientists, computational, and data scientists at PNNL and other DOE national laboratories and universities to address critical science questions.

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/BA with 2 years of experience, MS/MA with 0-2 years of experience, or PhD with 0 years of experience.

Preferred Qualifications

  • BS/BA with 5 years of experience, MS/MA with 3 years of experience, PhD with 1 year of experience.

  • PhD in earth, atmospheric, environmental, geological, hydrological sciences or other related field with 2+ years’ experience;

  • Demonstrated experience analyzing large observational and model datasets;

  • Knowledge and demonstrated experience in the use of artificial intelligence and machine learning approaches in climate science;

  • 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.

  • Experience integrating AI and ML with components of an Earth system model;

  • Demonstrated experience using atmosphere models (e.g., EAM, CAM, FV3, WRF) and/or earth system models (e.g., CESM, E3SM).

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

If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via

Please be aware that the Department of Energy (DOE) prohibits DOE employees and contractors from having any affiliation with the foreign government of a country DOE has identified as a “country of risk” without explicit approval by DOE and Battelle. If you are offered a position at PNNL and currently have any affiliation with the government of one of these countries you will be required to disclose this information and recuse yourself of that affiliation or receive approval from DOE and Battelle prior to your first day of employment.

Directorate: Earth & Biological Sciences

Job Category: Scientists/Scientific Support

Group: Atmospheric Science & Technlgy

Opening Date: 2021-04-01

Closing Date: 2021-04-15