Earth System Science Postdoc: Exascale Modeling & Extremes

Lawrence Berkeley National Laboratory; Berkeley (CA); On-site; USD 76,000 - 103,000; Full time

Benefits offered by this job

PTO 24 days per year

Sick leave and paid holidays

Postdoctoral Paid Family Leave

Berkeley Lab Postdoc Association and交流

Job summary

Lawrence Berkeley National Laboratory seeks an Earth System Sciences Postdoctoral Fellow to advance hydrometeorological extremes research using E3SM and related tools. The role involves running simulations on high-performance computing systems, analyzing outputs, and contributing to interdisciplinary studies with scientists and stakeholders.

The fellow will co-mentor students when possible and engage in dissemination through conferences and peer‑reviewed journals, with a focus on land–atmosphere

Qualifications

• Ph.D. in Atmospheric Science, Hydrologic Science, Earth System Science, Physics, or related field.
• Experience in supercomputing environments and high-performance computing.
• Proficiency with Python, C++, and Bash/Shell scripting.
• Research experience in mountain hydrometeorology and land–atmosphere processes.
• Ability to set up and run Earth system model simulations (e.g., E3SM, CESM).

Responsibilities

• Run Earth system model simulations (e.g., E3SM) on HPC systems.
• Analyze model outputs to study hydrometeorological extremes and water cycle processes.
• Develop computational and data analysis methods for model evaluation.
• Collaborate with interdisciplinary teams and present results at conferences.

Skills

Python

C++

Bash/Shell

Earth system modeling

High-performance computing

Communication skills

Team collaboration

Education

Ph.D. in Atmospheric Science or related field

Tools

NERSC Perlmutter

NWSC Derecho

E3SM

CESM

TempestExtremes

Job description

Lawrence Berkeley National Laboratory seeks an Earth System Sciences Postdoctoral Fellow to advance hydrometeorological extremes research using E3SM and related tools. The role involves running simulations on high-performance computing systems, analyzing outputs, and contributing to interdisciplinary studies with scientists and stakeholders.

The fellow will co-mentor students when possible and engage in dissemination through conferences and peer‑reviewed journals, with a focus on land–atmosphere