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ClimaCell is hiring an NWP Associate Scientist in Boulder, CO!

This post was from a previous version of the WRF&MPAS-A Support Forum. New replies have been disabled and if you have follow up questions related to this post, then please start a new thread from the forum home page.


New member
ClimaCell is embarking on a stealth project that requires a deep understanding and experience with Numerical Weather Prediction (NWP) systems and components. We are developing novel techniques for gathering and assimilating weather data into real-time analysis and NWP systems. In addition to working with traditional data sources and modeling outputs, we’re building our own approach for integrating new measurements from proprietary data sources into weather monitoring and forecasting systems, as well as developing new forecast products using all of these data.

As an NWP Associate Scientist, you will conduct independent research and development of applications for weather forecasting, real-time weather analysis, data assimilation, and data quality control systems. Most of your work will be spent performing Research to Operations (R2O) by supporting a team to build NWP prototypes and demos in a cloud HPC environment and then supporting and expanding those capabilities into operations. A successful candidate will be able to identify a spectrum of solutions for a given problem, building on established successes in the field - but with a keen eye on where ClimaCell can innovate with new approaches.

What it takes
An MS or Ph.D in Meteorology, Atmospheric Science, or similar is required; a research focus in the field of NWP with emphasis on ensemble-based DA methods is a strong plus
1+ years experience developing and supporting operational NWP systems (or components) is highly desirable
Deep understand and experience with the Weather Research and Forecasting (WRF) model and the Gridpoint Statistical Interpolation (GSI) data assimilation (DA) system and/or the WRF DA (WRFDA) system is required
Experience and/or familiarity with the Model for Prediction Across Scales (MPAS)
Background in developing and supporting NWP systems in an operational setting
Strong background in a Linux development environment including experience with high-performance computing (HPC)

To apply please email a copy of your CV/Resume to