Vacancy caducado!
SummaryIncumbent will serve as a Computer Scientist in the Communications Technology Laboratory at NIST in Boulder, COAre you ready to explore your future with NIST? Your application package may be shared with other selecting officials at NIST with opportunities like the one you are applying to. Additional selections may be made through this vacancy. This notice is issued under direct-hire authority to recruit new talent to occupations for which NIST has a severe shortage of candidates.ResponsibilitiesData scientist for spectrum-sharing projects administered by the National Advanced Spectrum and Communications Test Network (NASCTN). Develop and improve software implementing advanced machine learning algorithms and statistical models for the analysis of large and complex data sets. Provide support in data processing, data visualization, and data analysis for measurement projects in wireless communications and spectrum sharing. Develop and maintain data processing software and databases for NASCTN projects. Develop data visualization and data analysis tools for NASCTN projects. Collaborate with research teams on research for machine learning and other methods with applications to metrology for wireless communication systems. Communicate results via reports, publications, and presentations. Consult and participate in the execution of complex spectrum sharing and interference tests critical to the NIST mission and CTL priorities (e.g. NASCTN).RequirementsConditions of EmploymentYou must be a U.S. citizenYou must be registered for Selective Service if applicable (www.sss.gov)You must be suitable for Federal EmploymentYou must be able to pass a drug testApplicants must meet requirements by the closing date of this announcement.QualificationsBasic Requirements:Bachelor's degree in computer science or bachelor's degree with 30 semester hours in a combination of mathematics, statistics, and computer science. At least 15 of the 30 semester hours must have included any combination of statistics and mathematics that included differential and integral calculus. All academic degrees and course work must be from accredited or pre-accredited institutions.In addition to the above basic requirements:Applicants must have 1 year (52 weeks) of specialized experience equivalent to at least the GS 9 (ZP II at NIST) level. Specialized experience is defined asdemonstrated expertise in Python programming, software engineering, databases, data visualization, data analysis, and machine learning. Experience implementing advanced deep learning algorithms.ORMaster's or equivalent graduate degree.ORCombination of education and experience. 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. Qualification requirements in the vacancy announcement 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 OPM website located athttps://www.opm.gov/policy-data-oversight/classification-qualifications/general-schedule-qualification-standards/Applicants may request reconsideration of their qualifications determination within three business days from the date their applicant status was changed. Applicants should email the Agency Contact listed in this vacancy announcement with their written request listing the announcement number; explaining why the original determination was improper; what factors were not considered; and, should provide any other pertinent information that would enable reevaluation.EducationThis position has an education requirement. You must submit a copy of your transcripts to document that you have met the education requirement. Unofficial transcripts will be accepted in the application package. Official transcripts will be required prior to the final offer of employment.Foreign education: Individuals educated in whole or in part in foreign countries must submit sufficient evidence, including transcripts, to an accredited private organization for a U.S. equivalency evaluation of course work and degree.Viewalisting of these accredited organizations from the Department of Education's website. Provide a copy of the letter containing the results of the equivalency evaluation with a course by course listing.Additional InformationA one trial period may be required.This appointment may be extended up to four years without further competition.This position is covered by an Alternative Personnel Management System (APMS). This system replaces the General Schedule (GS) pay plan and grade with career paths and pay bands. For information regarding how the pay bands correspond to the General Schedule, clickhere.
Vacancy caducado!