Post Doctorate RA - Cloud Retrieval Development
Full/Part Time: Full-Time
PNNL is recruiting a postdoctoral scientist to develop and implement retrievals of cloud properties from ground-based remote sensors at DOE Atmospheric Radiation Measurement (ARM) sites (www.arm.gov). Retrieval development will focus on deriving liquid cloud microphysical properties from passive sensors. Working with PNNL scientists and software engineers, the postdoc will work on implementing, running, validating, and analyzing operational retrievals of liquid water path, effective radius, and other cloud and atmospheric properties. Retrieval data will be analyzed at numerous sites worldwide to meet retrieval needs focused on developing understanding of warm boundary layer clouds, high latitude clouds, and other atmospheric processes.
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.
A Ph.D. in Atmospheric Science, Physics, Geoscience, or related subjects is required. The candidate must have some experience with passive remote sensing retrievals, and experience with liquid water path retrievals from microwave or infrared radiometry are particularly desirable. The candidate should have strong data analysis skills with experience in a programming language such as python, matlab, or IDL.
The candidate will be working as part of a team and should have strong communication skills and must excel at working independently and collaboratively.
A Ph.D. in Atmospheric Science, Physics, or related subjects is required.
Familiarity with radiative transfer models is desired.
Experience with infrared or shortwave spectroscopy data analysis and retrievals will be viewed particularly favorably.
Experience with netcdf data formats, a unix programming environment, and high-performance computing clusters would also be valuable.
Organization and Job ID
Job ID: 308041
Directorate: Earth & Biological Sciences
Division: Atmospher Sci's & Global Chg
Group: Advanced Study & Development