Research Scientist-Arctic Acoustics Modeling and field Operations

Amentum•Washington, DC

32d•$110,000 - $120,000•Onsite

About The Position

We are seeking a highly adaptable and self-directed Signal Processing Scientist to join our dynamic research and development team. This role is designed for a creative, practical problem-solver who thrives on breadth and variety, rather than being confined to a single narrow project. In this role, you will bridge the gap between advanced academic research and real-world operational impact. You will leverage your creative instincts and deep technical expertise to translate complex mathematical models—specifically in universal spectral estimation and array processing—into efficient, testable code applied to CUI and classified datasets. We offer a highly collaborative environment that values innovative approaches, rapid prototyping, and autonomy to critically evaluate and dictate technical solutions.

Requirements

Extensive experience utilizing programming languages such as Fortran, C++, Python, or Matlab for modeling and data analysis.
Deep understanding of numerical simulations and mathematical methods applied to wave propagation.
Familiarity with the mechanics, deployment, and operation of acoustics and/or ocean science observing equipment.
Strong foundational knowledge in signal processing techniques as applied to experimental physics or oceanography.
Proven skill in reducing, processing, and analyzing complex, noisy datasets (e.g., under-ice acoustic recordings) to extract actionable scientific insights.
Strong scientific writing skills, with the ability to document algorithms, physical models, and field results clearly for both peer-reviewed and operational audiences.
Hands-on capability to set up, calibrate, and troubleshoot sensitive observational equipment in a lab environment prior to field deployment.
Ability to successfully operate and collect data in remote, harsh, or austere environments (specifically Arctic on-ice conditions) for short durations (3-4 weeks/year).
Self-directed and capable of driving both computational and logistical tasks forward with minimal supervision.
Ability to work seamlessly across multidisciplinary teams, bridging the gap between theoretical modelers and physical field operators.
Highly detail-oriented, ensuring rigorous accuracy in both numerical code execution and physical equipment calibration.
Security Clearance Required: Candidates without a secret clearance can be considered; they will be upgraded to secret once they receive their interim clearance. We will need to start once security paperwork is in the DOW database and the SF86 has been verified.
Degree in Oceanography, Physics, Acoustics, Engineering, Applied Mathematics, or a closely related scientific discipline.
Demonstrated applied experience in experimental data analysis, wave propagation simulations, and acoustics.

Nice To Haves

Candidates who possess a blend of rigorous computational modeling experience combined with practical, hands-on mechanical troubleshooting or field-expedition experience are highly encouraged to apply.
AI if applicable to your program

Responsibilities

Utilize numerical acoustic propagation models to generate statistical predictions of transmission loss and ambient sound in realistic Arctic environments.
Incorporate complex environmental datasets—including satellite observations, oceanographic forecasts, and field observations—into numerical simulations to ensure accurate real-world modeling.
Test and validate physical models for transmission loss and ambient sound predictions against empirical acoustic recordings gathered in under-ice environments.
Support experimental preparation and on-ice Arctic field work. This encompasses testing observing equipment in a laboratory setting, assisting with experiment planning, and managing field logistics.
Author technical reports, document experimental methodologies, and present complex scientific findings clearly to internal teams and external stakeholders.
Participate in occasional field travel to collect data in Arctic environments (travel is not expected to exceed 3–4 weeks per year).