Research Physicist

Description:

This is a public notice flyer to notify interested applicants of anticipated vacancies. Applications will not be accepted through this flyer. Interested applicants must follow the directions in the "How to Apply" section of this flyer to be considered. There may or may not be actual vacancies filled from this flyer. Notice of Result letters will not be sent to applicants who respond to this flyer.

Requirements:

You will serve as a Research Physicist within the Space Science Division, Code 763100 of NAVAL RESEARCH LABORATORY

This position has a selective placement factor that will be used to screen out ineligible candidates. The selective placement factor is: Expertise with atmospheric models, particularly those extending into the middle and upper atmospheres, or related computational fluid dynamics codes, including making changes to and debugging such codes on multiprocessor HPC architectures; Demonstrated skill with high-level programming languages (e.g., MPI Fortran, C++, Java) and visualization/analysis software such as python, IDL or MatLab; Experience in running multiprocesssor code on modern HPCs; Experience working with large atmospheric data sets generated by models (e.g., HDF5); and experience in state-=of-the-science data analysis methods, including machine learning algorithms.

In addition to the Selective Placement Factor and Basic Education requirements, your resume must also demonstrate at least one year of specialized experience at the (GS-5-10) grade level or pay band (NP-02) in the Federal service or equivalent experience in the private or public sector. Specialized experience must demonstrate the following: 1) Knowledge of dynamical, physical and chemical processes involved in the short-time evolution of the atmosphere from the surface to the exobase at around 500 km altitude; 2) Knowledge of atmospheric models, particularly those extending into the middle and upper atmospheres, or related computational fluid dynamics codes, including making changes to and debugging such codes on multiprocessor HPC architectures; 3) Skill with high-level software such as python, IDL or MatLab; 4) Experience or interest in running multiprocessor code on massively parallel HPCs; 5) Experience working with large atmospheric data sets generated by models (e.g., HDF5); and 6) Ability to communicate effectively both orally and in writing and to respond as required for proposal or report content.

Additional qualification information can be found from the following Office of Personnel Management website: https://www.opm.gov/policy-data-oversight/classification-qualifications/general-schedule-qualification-standards/1300/physics-series-1310/

Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., professional, philanthropic, religious, spiritual, community, student, social). Volunteer work helps build critical competencies, knowledge, and skills and can provide valuable training and experience that translates directly to paid employment.