Post-doc in climate modeling at Lawrence Livermore (CA)

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Post-doc in climate modeling at Lawrence Livermore (CA)

Postby kalundquist » Mon Aug 27, 2018 9:24 pm

Lawrence Livermore National Laboratory, in Livermore, CA, has a post-doctoral position available in global atmospheric modeling using the Energy Exascale Earth System Model (E3SM) to conduct simulations involving the transport of aerosols and the subsequent climatic effects. Additional details are provided below and the link should be used to apply to the position.

Job Description
We have an opening for a Postdoctoral Researcher to conduct research on atmospheric modeling and applications relevant to national security, with an emphasis on global simulations involving contaminant transport and dispersion, including aerosols and atmospheric chemistry. You will pursue original research using the Energy Exascale Earth System Model (E3SM) and the associated Modal Aerosol Module (MAM4). This position is in the Atmospheric, Earth & Energy Division.

Essential Duties
- Conduct original research on the radiative impact of aerosols in the atmosphere using the E3SM global atmospheric model.
- Run simulations in a high-performance computing environment and perform analysis of model output.
- Modify the E3SM model as required, including modifications to model inputs and existing physics parameterizations
- Publish research results 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 or a closely related field.
- Knowledge of global climate models, aerosols, and atmospheric chemistry.
- Experience in the following areas: setting up and executing global atmospheric weather or climate simulations; aerosol modeling; analyzing atmospheric model output
- Proficient in at least one scientific programming language for modeling and model output data analysis (e.g., Python, Fortran, C++, etc.).
- Experience using multi-processor computers and UNIX/LINUX.
- Ability to effectively perform independent research.
- Proficient verbal and written communication skills as evidenced by published results and presentations.
- Experience collaborating effectively with a team of scientists of diverse backgrounds and travel as required to coordinate with collaborators.
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