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Data Assimilation Research Scientist

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Job ID: 202784
Location: MONTEREY, CA, United States
Date Posted: Aug 7, 2020
Category: Engineering and Sciences
Subcategory: Research Scientist
Schedule: Full-time
Shift: Day Job
Travel: Yes, 10 % of the Time
Minimum Clearance Required: Interim Secret
Clearance Level Must Be Able to Obtain: Secret
Potential for Remote Work: No
Benefits: Click here

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Job Description

Description

The candidate will conduct research to develop state-of-the-art data assimilation methods and algorithms, with an emphasis on assimilating classified observations. These observations often have high temporal or spatial density or other unique properties and will thus require the development of specific assimilation strategies and new techniques for assessing observation impact. She/he will conduct research for the data ingest, selection, pre-processing, quality control and assimilation strategies for these specialized observation data sets. Additionally, the candidate will develop methods to assimilate these new observations, and refine the assimilation procedures for currently assimilated observations.  The candidate will focus on assimilation strategies using the NRL Atmospheric Variational Data Assimilation System (NAVDAS) 3D-Var and 4D-Var systems. 


The candidate work will develop and implement diagnostic methods to assess the impact of the assimilated environmental observations on the subsequent analysis and forecasts.  She/he will develop algorithms to summarize and display the results for system users. Additionally, she/he will employ advanced numerical and machine learning techniques to facilitate rapid and comprehensive characterization of the impact of the new observations on the forecast, and identify areas for improvement in the underyling data assimilation system or in the algorithms used to pre-process the observations.

 

This position requires the ability to conduct and assist in leading-edge research on the development and application of state-of-the-art methodologies for atmospheric data assimilation and forecasting systems and to use these methodologies to develop next generation probabilistic prediction systems primarily using NAVDAS-AR and Navy global and mesoscale modeling systems. 

Qualifications

Advanced degree in Environmental Sciences, Mathematics, or related disciplines.
At least 2 years of relevant experience in government and/or industry is preferred.
Ability to obtain and maintain a Secret security clearance. 

  • Demonstrate extensive knowledge and experience in formulating complex problems and developing and testing of efficient algorithms related to data assimilation.
  • Have deep knowledge of the principles, methods, and state-of-the-art techniques used in data assimilation. 
  • Effectively apply advanced machine learning techniques to better characterize observation errors and patterns within the data assimilation system, and implement improvements to correct any identified deficiencies.
  • Demonstrate extensive knowledge and experience in formulating complex problems and developing and testing of efficient algorithms related to data assimilation.
  • Have deep knowledge of the principles, methods, and state-of-the-art techniques used in data assimilation.
  • Effectively apply advanced machine learning techniques to better characterize observation errors and patterns within the data assimilation system, and implement improvements to correct any identified deficiencies.
  • Lead, plan, conduct, and document research on algorithm development for a portfolio of sophisticated and novel environmentally-based satellite data assimilation algorithms.
  • Possess in-depth knowledge of Python and MATLAB languages, and the ability to program and work in the UNIX and LINUX operating system environments.
  • Demonstrate the ability to communicate effectively both orally and in writing, with experience in writing theses, scientific journal articles, or manuals.



Overview

SAIC is a premier technology integrator solving our nation's most complex modernization and readiness challenges. Our robust portfolio of offerings across the defense, space, civilian, and intelligence markets includes high-end solutions in engineering, IT, and mission solutions. Using our expertise in existing and emerging technologies, we integrate the best components from our own portfolio and our partner ecosystem to deliver innovative, effective, and efficient solutions. We are 25,500 strong; driven by mission, united by purpose, and inspired by opportunities. Headquartered in Reston, Virginia, SAIC has pro forma annual revenues of nearly $7.1 billion. For more information, visit saic.com. For ongoing news, please visit our newsroom. For SAIC benefits information, see Working at SAIC. EOE AA M/F/Vet/Disability

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