Pacific Northwest National Laboratory Post Doctorate RA - Climate Science and Data Analysis in RICHLAND, Washington

Organization and Job ID

Job ID: 307761

Directorate: Earth & Biological Sciences

Division: Atmospher Sci's & Global Chg

Group: Advanced Study & Development


Job Description

Pacific Northwest National Laboratory (PNNL) is recruiting a postdoctoral scientist to work on a project aimed at developing a better understanding of deep convective initiation, organization, dynamics, and microphysics for the purpose of improving its parameterization in multi-scale models. In particular, potential environmental predictors of convective transitions and life cycle properties for a significant number of events will be analyzed along with key microphysical processes that impact convective cloud macrophysical evolution. Two-way interactions of microphysical processes with convective circulations such as updrafts, downdrafts, and cold pools on fine spatiotemporal scales are of particular interest. The ability of multi-scale models and variable complexity physics parameterizations to capture observed cloud and environmental processes critical to predicting the convective life cycle will be examined and sources for potential biases will be established through model sensitivity experiments. Additionally, the postdoc may contribute to analyzing the ability of models to reproduce observed impacts of convective clouds and precipitation on surface properties, aerosol redistribution, and boundary layer evolution with feedbacks to subsequent convective cloud development.


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

Experience running and possibly modifying code in cloud-system resolving models (e.g., WRF, Fortran programming)

Experience analyzing cloud/precipitation measurements, notably from radars (e.g., understanding radar measurements and using radar software such as Py-ART)

Expertise in convective meteorology (e.g., relevant environmental conditions and nature of convective dynamics and microphysics)

Familiarity with high performance computing, and statistical analysis

Experience with large datasets and efficient computation, including parallel processing.

Experience with computer languages usually used for climate modeling and analysis (Fortran, Python, R, NCL, Matlab, IDL, etc.)

Familiarity with Linux/Unix computational environments

PhD in atmospheric science or a related field


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


Directorate: Earth & Biological Sciences

Job Category: Post-Graduates and Post-Docs

Group: Advanced Study & Development

Opening Date: 2019-01-02

Closing Date: 2019-01-31