Pre-Award: MXM- Scientist III

Barbaricum • Crane, IN

8d

About The Position

Barbaricum is seeking an Scientist III to directly support the anticipated Naval Surface Warfare Center (NSWC) Crane Division, Model Based Engineering Assessment Division (Code MXM), under Solicitation N00164-26-R-0017. Code MXM's mission is mission engineering analysis and assessment of complex Naval, DoD, and joint kill chains — with a specialized focus on Electromagnetic Spectrum Operations (EMSO) enabled analysis. As a Scientist III, you will construct, modify, and perform statistical and analytical investigations with mathematical and computer simulation models in support of EMSO. You will provide research and development support in state-of-the-art computational electromagnetic (EM) modeling, atmospheric modeling, swarming algorithms, and data/signal processing, and will bring machine learning and advanced data analytics to bear on mission engineering questions. This role is the scientific engine behind Code MXM's modeling, simulation, and operations research work.

Requirements

• Active DoD SECRET clearance (minimum); U.S. citizenship required.
• Bachelor's degree from an 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.

Nice To Haves

• Active TS/SCI clearance (preferred).
• Master's or Doctorate degree.
• Experience with computational EM tools, atmospheric propagation modeling (ITU-R, TIREM), and Python-based analytics.
• Applied machine learning / data-mining experience against large signal datasets.
• Prior EMSO / electronic warfare / Navy operations research experience.

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).

What This Job Offers

• Job Type: Full-time
• Career Level: Senior