Senior EMSO Modeling Scientist

Socket.dev; Crane (IN); On-site; USD 120,000 - 180,000; Full time

Job summary

Barbaricum, a government-focused contractor, seeks a Scientist III to support the NSWC Crane Division in Indiana. You will construct and run statistical analyses and simulations to support EMSO and mission engineering questions, using advanced computational modeling and data/signal processing techniques.

The role emphasizes state-of-the-art EMSO modeling, atmospheric modeling, and machine learning applied to defense analytics, within a collaborative federal program environment.

Qualifications

• Active DoD SECRET clearance; U.S. citizenship required.
• Bachelor's degree from ABET-accredited institution.
• 10+ years of experience in a Life or Physical Science discipline.
• Ability to construct, modify, and perform statistical/analytical investigations with mathematical/computer simulation models, including computational EM modeling.

Responsibilities

• Construct, modify, and perform statistical/analytical investigations with mathematical/computer simulation models supporting EMSO (SOW 4.6.3).
• Provide R&D support defining and using state-of-the-art approaches for computational EM modeling, atmospheric modeling, swarming algorithms, and data/signal processing.
• Research state-of-the-art tool sets to support modeling, simulation, and statistical/analytical investigations.
• Conduct academic and industry technical reviews and perform model and algorithm development.
• Apply machine learning and other data-analytic approaches to analytics objectives (CDRLs A010, A011, A024, A025).

Skills

Statistical analysis

Mathematical modeling

Python analytics

Machine learning

Education

Bachelor's degree from ABET-accredited institution

Tools

Python

Computational EM tools

Atmospheric propagation modeling (ITU-R, TIREM)

Job description

Barbaricum, a government-focused contractor, seeks a Scientist III to support the NSWC Crane Division in Indiana. You will construct and run statistical analyses and simulations to support EMSO and mission engineering questions, using advanced computational modeling and data/signal processing techniques.

The role emphasizes state-of-the-art EMSO modeling, atmospheric modeling, and machine learning applied to defense analytics, within a collaborative federal program environment.