Pacific Northwest National Laboratory · 5 hours ago
Masters Intern - Global Snow Modeling
Pacific Northwest National Laboratory (PNNL) is a world-class research institution focused on scientific research and innovation. The role involves contributing to global snow modeling by evaluating and improving snowpack simulations in the Energy Exascale Earth System Model (E3SM) and gaining experience in Earth system science and high-performance computing.
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Responsibilities
Collect remote sensing data and evaluate snowpack simulations in E3SM
Improve snowpack parameterizations in E3SM
Run E3SM simulations to test model performance and answer scientific questions
Present model improvement and research findings at internal seminars
Qualification
Required
Candidates must be matriculated/enrolled in a Master's program at an accredited college or university
Minimum GPA of 3.0 is required
Preferred
Working towards a degree in Civil and Environmental Engineering, Atmosphere Science, Computer Science, Mechanical Engineering, Engineering Physics, Remote Sensing, or a related field
Passionate about snow hydrology
Have experience with or strong interest in the following: remote sensing, land surface modeling, high-performance computing, and open-source workflows
Proficient with at least one programming language (e.g., Python, R, Julia, MATLAB, C++, Fortran, etc.)
Prior research experience is preferred but not required
Benefits
Health insurance
Flexible work schedules
Employee assistance program
Business travel insurance
Company funded pension plan
401k savings plan
Company
Pacific Northwest National Laboratory
Pacific Northwest National Laboratory operates as a government research laboratory.
Funding
Current Stage
Late StageTotal Funding
unknownKey Investors
US Department of Energy
2022-07-14Grant
2018-07-16Grant
Leadership Team
Recent News
Inside HPC & AI News | High-Performance Computing & Artificial Intelligence
2026-01-11
Pacific Northwest National Laboratory
2026-01-03
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