Research Physical Scientist

U.S. Department of Commerce


Date: 1 week ago
City: Boulder, CO
Contract type: Full time
Duties

Summary

This is a Direct Hire Public Notice. Please read this Public Notice in its entirety prior to submitting your application for consideration. This position is in the Office of Oceanic & Atmospheric Research (OAR) | Global Systems Laboratory (GSL) with 1 vacancy in Boulder, CO.

Requirements

Qualifications

Qualification requirements in the vacancy announcements are based on the U.S. Office of Personnel Management (OPM) Qualification Standards Handbook, which contains federal qualification standards. This handbook is available on the Office of Personnel Management's website located at: https://www.opm.gov/policy. BASIC REQUIREMENTS: This position has a positive Education Requirement in addition to at least one year of Specialized Experience OR substitution of education for experience OR combination (if applicable) in order to be found minimally qualified. Transcripts must be submitted with your application package. You MUST meet the following requirements: To qualify for the 1301 series: Education: A. Degree: physical science, engineering, or mathematics that included 24 semester hours in physical science and/or related engineering science such as mechanics, dynamics, properties of materials, and electronics. OR B. Combination of education and experience -- education equivalent to one of the majors shown in A above that included at least 24 semester hours in physical science and/or related engineering science, plus appropriate experience or additional education. AND SPECIALIZED EXPERIENCE: Applicants must possess one year of specialized experience equivalent in difficulty and responsibility to the next lower grade level in the Federal Service. Specialized experience is experience that has equipped the applicant with the particular competencies/knowledge, skills and abilities to successfully perform the duties of the position. This experience need not have been in the federal government. Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., Peace Corps, AmeriCorps) and other organizations 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. You will receive credit for all qualifying experience, including volunteer experience. To qualify at the ZP-3 or GS-11 level: SPECIALIZED EXPERIENCE: In addition to meeting the Basic Requirements above, applicants must also possess one full year (52 weeks) of specialized experience equivalent to the ZP-2 or GS-09 in the Federal service. Specialized experience MUST include all of the following: Participating in earth or environmental science research of earth system or environmental prediction models; Contributing to the development of weather forecast models; and Using programming languages, such as Fortran, Python, or C++, etc. OR SUBSTITUTION OF EDUCATION: Master's or equivalent graduate degree. OR COMBINATION OF EDUCATION AND EXPERIENCE: A combination of education and professional experience. Combinations of successfully completed graduate level education and specialized experience may be used to meet total experience requirements. (NOTE: Only graduate level education in excess of one year is qualifying for combination of education and experience.) To qualify at the ZP-4 or GS-13 level: SPECIALIZED EXPERIENCE: In addition to meeting the Basic Requirements above, applicants must also possess one full year (52 weeks) of specialized experience equivalent to the ZP-3 or GS-12 in the Federal service. Specialized experience MUST include all of the following: Conducting research in earth or environmental science in order to develop earth system or environmental prediction models; Applying statistical and machine learning techniques and knowledge to advance earth systems research. Developing, executing, or interpreting weather forecast models; and Participating in the development of data assimilation software codes for parallel supercomputers.

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