PNNL Careers

Post Doctorate RA - WRF Modeling for Renewable Energy

Post-Graduates and Post-Docs

Job Description

Job ID: 307476
Full/Part Time: Full-Time
Regular/Temporary: Temporary

Job Description

Pacific Northwest National Laboratory (PNNL) is recruiting a postdoctoral scientist to improve forecasting tools for intra-day and day ahead forecasts of both the solar and wind resource. The successful candidate will perform analysis of observations and design and execute modeling experiments using the WRF and/or WRF-Solar model for the development and testing of new and improved parameterizations, including uncertainty quantification. A successful candidate will join a team of researchers with a broad range of interests and expertise and is expected to publish his/her work in peer reviewed journals.

Equal Employment Opportunity

PNNL is an Equal Opportunity/Affirmative Action Employer that is committed to hiring a diverse, talented workforce. EOE Disability/Vet/M/F/Sexual Orientation/Gender Identity. Staff at PNNL must be able to demonstrate the legal right to work in the United States.

Minimum Qualifications

Candidates must have received a PhD within the past five years (60 months) or within the next 8 months from an accredited college or university.

Preferred Qualifications

Demonstrated familiarity with numerical models and analysis of mesoscale simulations, as well as observations
Excellent written and oral communication skills in English
Ability to work collaboratively in interdisciplinary teams as well as ability to independently pursue original ideas and new directions
Interest in contributing to an active intellectual environment
Demonstrated record of publications in peer reviewed journals

Demonstrated expertise in parameterizations of clouds and radiation relevant for intra-day and day-ahead forecasts of solar irradiance
Familiarity with high performance computing, the Weather Research and Forecasting (WRF) model, and statistical analysis
Experience with in situ and/or remote sensing data sets
Experience with computer languages usually used for modeling and analysis (Fortran, Python, R, NCL, Matlab, IDL, etc.)
Familiarity with Linux/Unix computational environments
Research experience in boundary layer meteorology, especially for complex terrain or air-sea interaction

A Ph.D. in Atmospheric Science, Physics, Applied Mathematics, Statistics or related subjects is required.

Organization and Job ID

Job ID: 307476
Directorate: Earth & Biological Sciences
Division: Atmospher Sci's & Global Chg
Group: Advanced Study & Development