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Postdoc in microphysics/aerosols at Lawrence Livermore (CA)

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New member
We have an opening for a Postdoctoral Researcher to conduct research on modeling the microphysical processes of aerosols in the troposphere and the stratosphere. You will be pursuing original research on predictability and uncertainty of the microphysical processes of aerosols. Please apply at the link below.

Essential Duties
- Conduct creative research using microphysics analysis and predictive atmospheric models and observations at the cloud resolving scale and/or at the mesoscale.
- Conduct original research on the predictability of microphysical and chemical processes under ambient and disturbed atmosphere conditions.
- Conduct creative research on the physics and chemistry of in-cloud processes (physical and chemical) under a range of conditions in the troposphere and the stratosphere.
- Incorporate aerosol physics in atmospheric transport studies for consequence management.
- Document research by publishing papers in peer-reviewed journals, and present technical results within the Department of Energy (DOE) community and at scientific conferences.
- Collaborate with others in a multidisciplinary team environment to accomplish research goals.
- Perform other duties as assigned.

- Recent PhD in atmospheric science, engineering, physics, or a closely related discipline.
- Experience in one or more of the following areas: modeling of atmospheric aerosols, analysis of physics and chemistry of aerosols, experimental measurements of aerosols, or processes meaningful to cloud processes.
- Experience working with model and observational datasets.
- Proficient in at least one scientific programming language for modeling and climate data analysis (e.g., Python, Fortran, C++).
- Experience with visualization and analysis programs.
- Ability to effectively perform independent research, and travel as required to collaborate with sponsors.
- Proficient verbal and written communication skills, as evidenced by published results and presentations.
- Experience collaborating effectively with a team of scientists of diverse backgrounds.