Position Description
The Lead from the Front (LFF) Military Transition Program is an approved SkillBridge internship under DoDI 1322.29. The LFF program provides eligible service members the opportunity to gain work experience through industry specific training within the last 180 days of military service. Eligible service members in any branch, regardless of rank, enlisted, or officer are encouraged to apply. The training and work experience provided may vary depending on the internship.
The LFF program is an unpaid internship through the DoD SkillBridge program. SkillBridge participants continue to receive payment and benefits through their respective military branch as active-duty service members. Official authorization from the selected service members unit commander to participate in SkillBridge must be provided prior to the start of the internship.
(SkillBridge) Eligibility:
Has served at least 180 days on active duty
Is within 180 days of separation or retirement
Will receive an honorable discharge
Has taken any service Transition Assistance Program
Received Unit Commander approval to participate in DoD SkillBridge
As part of a SkillBridge program, an organization is seeking a Scientific Data Analyst with direct experience in analytics regarding time series data sets. The successful candidate must be able to understand waveform propagation and apply it to conduct analysis of data sets. Demonstrated understanding of digital signal processing, mathematics, and in-depth knowledge of time series analytical expertise is required.
A primary focus area is the development of software systems for multipurpose geophysical and other data collection, processing, and analysis.
Qualifications Required:
2+ years experience as a 9S100 seismic analyst in the United States Air Force
Minimum of 3 years related experience in the following:
Demonstrated experience in seismo-acoustic waveform analysis and experience using seismo-acoustic analysis software such as ARS (Analyst Review Station), Geotool/Seatools, SAC (Seismic Analysis Code)
Detailed understanding of local, regional, and teleseismic seismic phases
Understanding of digital signal processing including spectral analysis
Observational ability to interpret time series waveform data, identify seismic, infrasonic, and hydroacoustic phases, distinguish signals from background noise
A self-starter with excellent oral and written communication skills
Experience navigating within the Linux environment
Experience running programs in Python, MATLAB, or other scientific software
Demonstrated experience with Microsoft Office (Excel, Word, PowerPoint)
Active TS/SCI clearance and U.S. Citizenship required
Qualifications Desired:
Ability to build an average of 60 seismic events per day
Experience working with large disparate data sets identifying long-term and short patterns in data
Experience with data fusion analytics
Experience with Magnitude, Distance, Amplitude Correction (MDAC) methodology
Ability to conduct spatio-temporal analysis
Familiarity with workflow in an operational environment
Familiarity with Government mission sets
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