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: This position requires a demonstrated ability to research (e.g., peer-reviewed publications, research proposals or projects) problems that improve short-term predictive skill in the neutral upper atmosphere relevant to the Navy, especially via improved models, dynamics, upper atmospheric physics parameterizations or novel machine-learning or related algorithms; knowledge of and experience with the dynamical and physical processes relevant to physics-based, numerical predictive modeling of the earths lower and/or upper atmospheres and programming skills in working with a complex modern highly-scalable computer code on latest supercomputer resources.

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 the dynamical, physical and chemical processes involved in the short-time (0-5 day) evolution of the atmosphere from the surface to the exobase at around 500 km altitude; 2) Demonstrated ability to research key unanswered scientific issues relevant to improved prediction of the upper atmosphere out to 5 days, and other scientific aspects of numerical weather prediction; 3) Skill in writing, running and debugging key components of a large holistic and rapidly evolving deep atmospheric predictive model written as massively-parallel MPI Fortran code and run on a variety of next-generation exascale multiprocessor DoD computer systems; 4) Knowledge to develop new Fortran subroutines encapsulating new algorithms describing key processes; 5) Ability to design and execute controlled numerical experiments with large physics-based atmospheric models, to analyze and interpret resulting model output, and to validate model results objectively against independent observations or reanalysis; 6) Ability to communicate effectively, both orally and in writing; 7) Ability to search for and learn about new numerical techniques from the research literature; 8) Ability to publish new results in the peer-reviewed scientific literature and to communicate findings clearly to a diverse audience of scientists, program managers and downstream customers; 9) Skill in writing successfully funded proposals for novel concepts and ideas and in reporting clearly and effectively to program sponsors and other customers; and 10) Ability to work within a large, diverse and geographically scattered research team developing Navy upper atmosphere models and to collaborate closely with scientists from different scientific disciplines.

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.