Research Scientist - Water Cycle & Climate Extremes Modeling
Pacific Northwest National Laboratory (PNNL) is recruiting two scientists to conduct innovative research in analysis and modeling of water cycle variability and change.
As part of the Water Cycle and Climate Extremes Modeling scientific focus area, research is being undertaken to advance predictive understanding of water cycle processes and their sub seasonal-to-multidecadal variations and long-term changes using models, observations, and novel numerical experiments and analysis methods. PNNL is recruiting two scientists to develop and apply theories, diagnostic frameworks, and modeling to advance understanding of the role of circulation, convection-circulation interactions, and land-atmosphere interactions in precipitation and extreme events.
The selected candidates will work with a team of the WACCEM scientists to address science questions broadly related to the regional and global water cycle. The candidates will also have the opportunities to participate in other projects focusing on the North American hydroclimate (https://climate.ucdavis.edu/hyperfacets/), extreme events in the mid-Atlantic region, and development/analysis of the Energy Exascale Earth System Model (E3SM) (http://e3sm.org).
- 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 contact information of three professional references.
- BS with 2+ years’ experience, or advanced degree;
- Experience running and revising codes of atmospheric general circulations models (e.g., EAM, CAM, MPAS, WRF);
- Demonstrated experience in climate dynamics and/or land-atmosphere interactions research;
- Ability to conduct numerical modeling using global and/or regional models and ability to analyze model outputs and observations using modern computational and statistical tools;
- Fluency in Fortran and Python/shell scripting; demonstrated ability to write clean and flexible codes and scripts;
- Ability to publish work in peer-reviewed journals;
- Strong team player with the willingness and ability to work independently.
- Ph.D. degree in atmospheric science, geophysical fluid dynamics, climate modeling, or related fields.
- Demonstrated experience in analyzing large observational and model datasets;
- Knowledge of measurement uncertainties and different types of model errors;
- Experience with high-performance computing environments;
- Strong interpersonal communication skills.