Physical Scientist - AI and Machine Learning for Improving Physics | District Heights, MD

UFS is a fully coupled earth system model including atmosphere, land, ocean, ice, wave, and aerosol components. UFS is configured for different operational and research applications which cover a variety of temporal and spatial scales. The work location is at the NOAA Center for Weather and Climate Prediction (NCWCP) in College Park, MD.

Responsibilities The candidate will perform job duties both in an independent and collaborative environment, applying innovative methods for the primary work areas. The candidate will work in the EMC Physics and Dynamics Division. The successful candidate will work in the following areas: Apply AI/ML techniques to improve the efficiency and accuracy of

physics parameterizations for various UFS applications. Apply AI/ML techniques to improve the coupling of the physics parameterizations with earth system model components in the UFS.

Transition from the community physics parameterization advancements in AI/ML domains to NCEP operation, including code implementation and performance backssment in UFS applications. Collaborate with community developers to advance AI/ML physics parameterizations for weather and climate modeling across scales. Qualifications We are seeking a highly qualified candidate for the position, and the following qualifications are necessary for consideration: Education: A Master's degree or higher in atmospheric sciences,

meteorology, geophysics, applied mathematics, or a related physical science field.

Required knowledge and skills: Advanced knowledge of AI/ML techniques and its applications in geophysical sciences. Advanced skills and knowledge of modern programming languages and object-oriented languages, such as Fortran and Python; Proficient with modern software development practices, such as the Git Hub/Git version control software and environment; Experience working in a UNIX environment and familiarity with shell scripting languages and running complex jobs. Demonstrated ability to work efficiently in a team environment and communicate effectively in both oral and written forms.

Familiar with various scientific data formats like Nct CDF and GRIB2 and has experience analyzing large scientific datasets. Desired: Experience with using AI/ML techniques to improve physics parameterizations in weather and climate models. Experience with operational NWP and/or an operational forecasting environment. Candidates must be a U. S. Citizen or Green Card Holder to qualify and must live in the US for 3-5 years prior to application 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) Job Posted by Applicant Pro