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, and assimilate the information into his/her project design/interpretation. Dissemination of studies: Interact on a regular basis with their PI, faculty mentor and members of the laboratory to discuss
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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | 2 months ago
analysis software packages. Demonstrated success in collaborative environments. Experience with one or several of the following: machine learning, data assimilation, ArcGIS, NASA satellite datasets. Point
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able to: assimilate a wide variety of information into assessments contribute to the planning and execution of research and analysis communicate scientific results effectively, both written and oral
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with developing distributed programs on high-performance computing systems. Experience in data assimilation and machine learning. A track record of publications in well recognized journals. Special
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are provided for diverse career development activities, including: • Skill Development: Acquiring new research techniques (e.g., AI/ML, data assimilation). • Networking: Establishing a strong professional
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to Computational Methods for Data Reduction. Topics include data compression and reconstruction, data movement, data assimilation, surrogate model design, and machine learning algorithms. The position comes with a
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collaboration with local water utilities and software developers Integrate digital urban water twins with data, applying methodologies for data assimilation, parameter estimation, and quantification of model
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uncertainties and result errors throughout the whole data assimilation and modeling process. ● Other Duties as assigned. Special Notes: The Research Foundation of SUNY is a private educational corporation
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resources and warming climate. The ideal candidate will have highly developed skills in any of the following areas: hydrologic and/or water resources modeling, data science and machine learning with strong
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, develop new ideas, and assimilate the information into his/her project design/interpretation. Dissemination of studies: Interact on a regular basis with their faculty mentor and members of the laboratory