Data Assimilation Scientist - JEDI Project
Axiom Consultants - college park, MD
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Axiom is looking for a candidate to support the Environmental Modeling Center (EMC) of the National Centers for Environmental Prediction (NCEP) in carrying out research, development, and operational transition work related to atmospheric data assimilation for future operational applications of the Unified Forecast System (UFS). The candidate's work will involve the development, execution, testing, and evaluation of several components of the atmospheric data assimilation system in the context of numerical weather prediction. The work location is at the NOAA Center for Weather and Climate Prediction (NCWCP) in College Park, MD. Responsibilities The candidate will perform the job duties in a collaborative environment, assisting developing and applying innovative methods for the primary work areas described below. The candidate will work with EMC scientists and external collaborators to develop and test atmospheric data assimilation components for use in the UFS. In particular, the candidate will focus on the evaluation of the components of the Joint Effort for Data assimilation Integration (JEDI) project for use in global numerical weather prediction applications at NCEP. The successful candidate will work in the following areas: Assist in development, evaluation, testing, and transition of JEDI-based developments for replacement of current atmospheric assimilation infrastructure (GSI-based). Develop and support atmospheric model interface within the JEDI infrastructure. Test and evaluate JEDI-based algorithm developments for use in future operational NWP applications. Assist in coordination of JEDI-related development activities from other EMC developers. Utilize JEDI infrastructure to explore data assimilation research activities relevant to future transition-to-operations of operationally relevant data assimilation research. Qualifications Demonstrated knowledge, skills and abilities in the following areas: Required: Knowledge of data assimilation techniques (variational-based and/or ensemble methods) Knowledge of the physical and mathematical basis of geophysical modeling (atmospheric and/or environmental) and experience running advanced numerical weather prediction (NWP) models Knowledge and experience of modern programming languages such as object-oriented FORTRAN, Python, and/or C++ Experience working in a UNIX environment with advanced scripting languages Good oral and written communication skills in English Desired: Experience in running numerical models on High Performing Computer (HPC) platforms using MPI, OpenMP, Slurm, LSF, etc. Experience with coupled earth system models. Knowledge of modern software engineering practices (requirements gathering, design, prototyping, version control, integration, testing, and documentation). Experience in model testing and evaluation and/or knowledge of verification principles. Experience in model development in various infrastructures like the Earth System Modeling Framework (ESMF) and NOAA Environmental Modeling System (NEMS) Axiom offers competitive compensation packages including comprehensive medical/dental/life insurance and matching 401(k) contribution. Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information. 41 CFR 60-1.35(c)
Created: 2024-11-05