Post Doctorate RA - Climate Science and Data Analysis
Full/Part Time: Full-Time
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.
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.
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.
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
Organization and Job ID
Job ID: 307761
Directorate: Earth & Biological Sciences
Division: Atmospher Sci's & Global Chg
Group: Advanced Study & Development