PNNL Careers

Post Doctorate RA - Modeling aqueous and cloud chemistry of organic aerosols

RICHLAND, WA


Job Description

Job ID: 308080
Full/Part Time: Full-Time
Regular/Temporary: Temporary

Job Description

Pacific Northwest National Laboratory (PNNL) is seeking a highly motivated postdoctoral research associate with a strong background in atmospheric chemistry and modeling of organic aerosols. The candidate will work on including new organic aerosol chemistry processes within the Weather Research and Forecasting model coupled to chemistry (WRF-Chem).

Aqueous and cloud chemistry of organic aerosols is one of the least understood aspects of aerosol-cloud interactions. This project focuses on elucidating new processes from aqueous and cloud chemistry measurements, and implementing mathematical representations of these processes within WRF-Chem. WRF-Chem predictions will be evaluated with a range of recent laboratory and field measurements, collected by the Atmospheric Radiation Measurements (ARM) and Environmental Molecular Sciences Laboratory (EMSL) facilities. The objective is to build cutting-edge integrative-predictive models, which will be used to understand the role of aqueous and cloud chemistry in aerosol-cloud interactions.

The ideal candidate will have prior experience and demonstrated abilities in working with three dimensional chemical transport models such as WRF-Chem, analyzing model predictions, and evaluating them with measurements. The candidate will work in a highly collaborative environment, and be responsible for building and debugging efficient organic aerosol modeling algorithms in WRF-Chem. A strong knowledge of FORTRAN and working with Linux/Unix environments are needed. The position will provide many opportunities to interact with both aerosol measurement experts and atmospheric modelers at PNNL, and other national laboratories and Universities.

This is a full-time position anticipated to last for two years (contingent on performance), starting as soon as possible but no later than January 2019.

Please provide a single PDF file containing (1) a cover letter of 1-2 pages summarizing research interests, qualifications and experience that fit the advertised position and possible start date at PNNL if selected (2) a CV listing past employment, education and research experiences, skills, publications and contact information of three references.

Further details about the position can be obtained from Dr. ManishKumar Shrivastava (ManishKumar.Shrivastava@pnnl.gov).
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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.
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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.
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Preferred Qualifications

Familiarity with aqueous organic chemistry of aerosols
Familiarity with three dimensional chemical transport models such as WRF-Chem
Familiarity with high performance and parallel computing Linux/Unix), computer languages (FORTRAN, Python, etc.), data analysis tools and techniques (R, NCL, Matlab, IDL, etc.)
Experience analyzing meteorological, chemical, and aerosol measurements
Track record of high-quality publications in peer-reviewed journals
Knowledge of statistical data analysis techniques such as application of machine learning tools for model and measurement data analysis are desirable.
Strong communication skills

Candidates must have received a PhD in atmospheric science or a related field.¿.


Organization and Job ID

Job ID: 308080
Directorate: Earth & Biological Sciences
Division: Atmospheric Sciences & Global Change
Group: Advanced Study & Development
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