Postdoctoral Researcher to conduct research on improving the predictions of precipitation and extremes

We have an opening for a Postdoctoral Researcher to conduct research on improving the predictions of precipitation and extremes over the US in the Energy Exascale Earth System Model (E3SM).

 

Date posted

Sep. 29, 2021 3:30 pm

Application deadline

Oct. 29, 2021 5:00 pm

Organization

Lawrence Livermore National Laboratory

Location

  • United States

Job description

Job Description

We have an opening for a Postdoctoral Researcher to conduct research on improving the predictions of precipitation and extremes over the US in the Energy Exascale Earth System Model (E3SM). You will work with a team of scientists to conduct model diagnosis with application of machine learning/artificial intelligence (ML/AI) techniques to better understand underlying problems in E3SM model physics critical to the prediction of precipitation and its extremes. This position is in the Atmospheric, Earth & Energy Division of the Physical Life Sciences Directorate. This is a two-year postdoctoral appointment with the possibility of extension to a maximum of three years.

In this role you will

· Conduct original research on model diagnosis with application of ML/AI techniques to better understand underlying problems in E3SM model physics critical to the prediction of precipitation and its extremes.

· Conduct hypothesis-testing experiments with E3SM on high-performance computing environment.

· Document research by publishing papers in peer-reviewed journals and present technical results at scientific conferences.

· Pursue independent (but complementary) research interests and interact with a broad spectrum of scientists internally and externally to the Laboratory.

· Perform other duties as assigned.

Qualifications

· Ph.D. in atmospheric science, physics, applied math, engineering, or a closely related discipline.

· Experience in one or more of the following areas: precipitation processes, extremes, atmospheric convection, global climate modeling, and application of ML/AI techniques to climate sciences.

· Proficient in at least one scientific programming language for modeling and climate data analysis (e.g., Python, Fortran, C++).

· Experience with large model and observational datasets, modern programming environments, and visualization techniques.

· Proficient verbal and written communication skills, as evidenced by published results and presentations.

· Interpersonal skills necessary to interact with a diverse set of scientists, engineers and other technical and administrative staff.

For more details https://www.llnl.gov/join-our-team/careers/find-your-job/all/ref1485n/3743990000050354/ 

For more details

https://www.llnl.gov/join-our-team/careers/find-your-job/all/ref1485n/3743990000050354/