Pacific Northwest National Laboratory Research Scientist - Global & Regional Climate in RICHLAND, Washington
Organization and Job ID
Job ID: 311016
Directorate: Earth & Biological Sciences
Division: Atmospheric Sciences & Global Change
Group: Earth Systems Analysis & Modeling
The Atmospheric Sciences and Global Change Division at Pacific Northwest National Laboratory (PNNL) seeks research scientists to advance scientific discovery in understanding and modeling global and regional climate, including processes related to land-atmosphere interactions, water cycle extremes, high-latitude climate and environmental changes, and/or coastal processes. The ability to analyze large observational (long-term monitoring or short-term field campaign) and model (regional and global) datasets and design and execute numerical experiments for hypotheses testing is critical. The candidates are expected to approach science questions using measurements, modeling, or a combination of both. The candidates will work with an existing team of scientists at PNNL, other national labs as well as universities on topics of common interest.
The hiring level will be determined based on the education, experience and skill set of the successful candidate based on the following:
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.
Level 4: Manages moderate to large projects and/or high-risk projects. Enhances technical/professional skills of junior and mid-level staff through active mentoring and training. Develops new project teams and leads the development of sections of major proposals and leads business development activities.
Bachelor's degree with 5+ years’ experience, or a Master's degree with 3+ years’ experience, or a PhD with 1+ years’ experience.
Experience in running and revising codes of regional or global models (e.g., E3SM, CAM, MPAS, WRF) is required;
Demonstrated experience in land-atmosphere-cloud interactions, clouds, precipitation extremes, high-latitude climate, and/or coastal research;
Demonstrated experience in analyzing large observational and model datasets;
Excellent presentation, verbal and written communication skills, with a demonstrated ability for writing concisely and clearly, are required.
Bachelor's degree with 7+ years’ experience, or a Master's degree with 5+ years’ experience, or a PhD with 3+ years’ experience.
Degree in Meteorology, Atmospheric Science, or related discipline;
Successful history of leading research teams and development of funded proposals;
Knowledge of measurement uncertainties and different types of model errors;
Fluency in Fortran, C++, and Python/shell scripting; demonstrated ability to write clean and flexible codes and scripts;
Experience with high-performance computing environments;
Strong interpersonal communication skills.
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 jobs.pnnl.gov.
Please be aware that the Department of Energy (DOE) prohibits DOE employees and contractors from participation in certain foreign government talent recruitment programs. If you are offered a position at PNNL and are currently a participant in a foreign government talent recruitment program you will be required to disclose this information before your first day of employment.
Directorate: Earth & Biological Sciences
Job Category: Scientists/Scientific Support
Group: Earth Systems Analysis & Model
Opening Date: 2019-11-08
Closing Date: 2020-01-06