Post Doctorate RA - Modelling atmospheric ice-nucleating particle sources and concentrations

Pacific Northwest National Laboratory (PNNL) is recruiting for a Post Doctoral Research Associate.

 

Date posted

Aug. 29, 2019 12:00 am

Application deadline

Sep. 30, 2019 12:00 am

Organization

Pacific Northwest National Laboratory (PNNL)

Location

  • United States

Job description

Post Doctorate RA - Modelling atmospheric ice-nucleating particle sources and concentrations

Organization and Job ID

Job ID: 308774
Directorate: Earth & Biological Sciences
Division: Atmospher Sci's & Global Chg
Group:  Advanced Study & Development

Job Description

Pacific Northwest National Laboratory (PNNL) is recruiting a creative, energetic, and collaboration-oriented postdoctoral scientist with a background in modelling atmospheric constituents (aerosols / trace gases), for research to advance understanding of ice-nucleating particles (INPs) in the atmosphere.

The natural and anthropogenic sources of atmospheric INPs, their spatiotemporal variability in the atmosphere, and the implications of their variability for cloud phase, still present major unresolved challenges to atmospheric science.  Sources of INP differ from overall sources of aerosol mass and number, and they exhibit large variability in time and space, making their measurement, attribution and simulation a challenging problem. 

Our project will analyze recent and new measurements of INP source particles and atmospheric concentrations, using a measurements-to-models approach to advance understanding of these sources.  The successful candidate will develop and conduct model simulations of the sources, transport and removal of atmospheric particles that can act as INP in the atmosphere.  Research goals may include attribution of atmospheric aerosol and INP sources during field campaigns, understanding effects of atmospheric processing on INP activity of particles, advancing understanding of spatiotemporal variability in INP concentrations and its implications for cloud phase, and model evaluation using observed aerosol and INP properties.

The successful candidate will be expected to publish scientific results in peer-reviewed journals, to communicate research results at conferences and workshops, and to interact effectively with a rich network of experts in aerosol measurement and modelling at PNNL as well as other national laboratories and universities.

This is a full-time position anticipated to last for two years (contingent on performance), and starting as soon as possible.

Applicants should apply using the PNNL online application system, and provide (1) a cover letter, (2) a current CV, and (3) the names and contact information of three professional references.  Review of applications will begin after the position has closed.

Please contact Dr. Susannah Burrows (susannah.burrows@pnnl.gov) with any questions about the position.

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

Minimum Qualifications

  • Experience with running, analyzing and possibly modifying global or regional atmospheric models (e.g., Chemical Transport Models, Climate and Earth System Models, or similar classes of 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

Interested candidates are additionally encouraged to contact Dr. Susannah Burrows with any questions, and to notify me of the submission of applications, via email.

Dr. Susannah Burrows
susannah.burrows@pnnl.gov
Scientist, Pacific Northwest National Laboratory

For more details

https://careers.pnnl.gov/psc/hrmsx/EMPLOYEE/HRMS/c/HRS_HRAM_FL.HRS_CG_SEARCH_FL.GBL?Page=HRS_APP_JBPST&PostingSeq=1&SiteId=1&FOCUS=Applicant&JobOpeningId=308774&