Research Scientist, Machine Learning and Climate Science


Date posted

Aug. 6, 2021 10:30 am

Application deadline

Sep. 30, 2021 5:00 pm


PNNL, Atmospheric Sciences and Global Change Division


  • United States

Job description

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, high-resolution models, parameterizations, atmospheric measurements and observational datasets to improve understanding and modeling 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: Receives guidance on new assignments, making preliminary selections on technical alternatives; independently completes recurring assignments. Defines and leads project work at a small task/project level, reporting results on time and on budget. Contributes to proposals. Embraces expectations for quality, safety, and security. Communicates the importance within the work team.

Level 3: Selects and develops technical approaches on assignments with occasional oversight on complex problems. Principal investigator or co-PI on projects or tasks, while integrating capabilities of work team members. Supports scoping, scheduling, and budgeting at a project or major task level. Generates new ideas for proposals and business development opportunities while leading development of technical section of small to medium proposals. Demonstrates ability to acquire funding for self with programmatic impact at the sector and division level. Serves as a role model for quality, safety, and security.

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; 
  • Knowledge and demonstrated experience in the use of AI and ML approaches in climate science, such as integrating AI and ML with Earth system models, high-resolution models, parameterizations, atmospheric measurements, or observational datasets; 
  • Demonstrated experience analyzing large observational and model 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.

To apply:

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.