Post Doctorate RA B - Modelling atmospheric ice-nucleating particle sources and concentrations
Full/Part Time: Full-Time
Pacific Northwest National Laboratory (PNNL) is recruiting a creative, energetic, and collaboration-oriented postdoctoral scientist for a project that will build process-level understanding of the factors controlling the concentration of ice-nucleating particles (INPs) in marine air. The successful candidate will blend modeling of atmospheric transport with analysis of INP and aerosol measurements, remote sensing, and other data sources, to attribute sources of variability in observed INP concentrations in marine air.
The successful candidate will be expected to publish scientific results in peer-reviewed journals, to interact directly with a rich network of experts in areas such as atmospheric processes, surface-atmosphere interactions, modelling, and observations, and to effectively communicate research results at conferences and workshops.
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 with running, analyzing and possibly modifying global or regional atmospheric models.
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
Applicants who have skills and experience in some of the following areas, and who are interested in developing new skills in additional areas, are encouraged to apply:
Demonstrated expertise in atmospheric aerosol transport and microphysical processes
Familiarity with high performance computing, and statistical analysis methods
Familiarity with experimental methods for characterizing aerosols and ice-nucleating particles
Experience with computer languages usually used for climate modeling and analysis (Fortran, Python, R, NCL, or other analysis languages)
Familiarity with Linux/Unix computational environments
Ability to think critically and develop and test hypotheses using a combination of measurements and models
PhD in Atmospheric Science, Meteorology, Physics, Applied Mathematics, Statistics, Engineering, or a related field.
Organization and Job ID
Job ID: 308090
Directorate: Earth & Biological Sciences
Division: Atmospheric Sciences & Global Change
Group: Advanced Study & Development