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Senior Earth System Modeler
2 months ago
We are seeking highly skilled professionals to join our team at I.M. Systems Group, Inc. as Senior Earth System Modelers and Global Data Assimilation Specialists. As a key member of our team, you will play a critical role in developing and implementing advanced coupled models to support the assimilation systems and address key scientific questions and prediction goals identified by the NASA Science Mission Directorate.
Key Responsibilities- Develop and implement advanced coupled models (e.g., ocean-atmosphere-land surface-cryosphere, composition-circulation, ocean dynamics-biology) to support the assimilation systems and to address key scientific questions and prediction goals identified by the NASA Science Mission Directorate.
- Atmospheric data assimilation system development and experimentation
- Atmospheric constituent modeling and data assimilation
- Land surface data assimilation
- Ocean data assimilation system development and experimentation
- Couple data assimilation development and experimentation
- Observing system simulation experiments (OSSE)
- Model development and validation of the Earth system model
- Systems integration
- Production of Earth system simulations, analyses, and predictions (on both weather and climate time scales)
- Visualization of observed and model-generated fields of scientific results
- GEOS production operation
- General project support including coordination, planning, training, meetings, reports, etc.
- Research project support to project scientists, including: understanding the strengths and weaknesses of GEOS data products, contributing to the design/implementation/documentation of cloud-resolving OSSE, visualization tools, and ocean modeling and data assimilation; supporting algorithm, modeling, and data assimilation related activities for the Atmospheric Observing System (AOS); exploring various research opportunities to improve GEOS system; supporting scientific computing, modeling analysis and prediction, applied R&D, GEOS and global modeling interface, software engineering, and cloud computing.
- MS or PhD degree in Earth system science disciplines (including atmospheric sciences, oceanic science, geophysics, numerical modeling), computing, and other relevant fields. BS degrees in these fields with demonstrated experience will be considered.
- Experience with numerical modeling development for Earth's atmosphere, ocean, land surface and cryosphere.
- Experience with data assimilation methodology and numerical techniques.
- Advanced knowledge on data thinning techniques to improve the efficiency and effectiveness of data assimilation.
- Experience developing scientific software for use with Earth system models.
- Proficient with scientific programming languages (e.g., FORTRAN, C/C++, Python, etc.), shell scripts, etc.
- Knowledge and experience with the Earth System Modeling Framework (ESMF) or similar modeling system architecture.
- Experience with high performance computing (HPC) environments for scientific computing.
- Knowledge of AI/ML methodology and techniques for data assimilation highly preferred.
- Excellent communications and presentation skills.
- Incumbent working experience at NASA GMAO highly preferred.
- U.S. citizenship or green card is required.