Research Scientist-Arctic Acoustics Modeling and field Operations

Work Schedule

M – F 8 AM – 5 PM EST

• Acoustic Modeling & Prediction:
  
  Utilize numerical acoustic propagation models to generate statistical predictions of transmission loss and ambient sound in realistic Arctic environments.
• Data Integration & Analysis:
  
  Incorporate complex environmental datasets—including satellite observations, oceanographic forecasts, and field observations—into numerical simulations to ensure accurate real-world modeling.
• Model Validation:
  
  Test and validate physical models for transmission loss and ambient sound predictions against empirical acoustic recordings gathered in under-ice environments.
• Field Operations & Logistics:
  
  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.
• Scientific Communication:
  
  Author technical reports, document experimental methodologies, and present complex scientific findings clearly to internal teams and external stakeholders.
• Travel & Deployment:
  
  Participate in occasional field travel to collect data in Arctic environments (travel is not expected to exceed 3–4 weeks per year).

Field work is required.

I. Knowledge

• Scientific Programming:
  
  Extensive experience utilizing programming languages such as Fortran, C++, Python, or Matlab for modeling and data analysis.
• Numerical Simulations:
  
  Deep understanding of numerical simulations and mathematical methods applied to wave propagation.
• Observational Equipment:
  
  Familiarity with the mechanics, deployment, and operation of acoustics and/or ocean science observing equipment.
• Signal Processing:
  
  Strong foundational knowledge in signal processing techniques as applied to experimental physics or oceanography.

II. Skills

• Experimental Data Analysis:
  
  Proven skill in reducing, processing, and analyzing complex, noisy datasets (e.g., under-ice acoustic recordings) to extract actionable scientific insights.
• Technical Writing:
  
  Strong scientific writing skills, with the ability to document algorithms, physical models, and field results clearly for both peer-reviewed and operational audiences.
• Equipment Troubleshooting:
  
  Hands-on capability to set up, calibrate, and troubleshoot sensitive observational equipment in a lab environment prior to field deployment.

III. Abilities

• Adaptability & Field Readiness:
  
  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).
• Autonomy & Initiative:
  
  Self-directed and capable of driving both computational and logistical tasks forward with minimal supervision.
• Collaboration:
  
  Ability to work seamlessly across multidisciplinary teams, bridging the gap between theoretical modelers and physical field operators.
• Precision:
  
  Highly detail-oriented, ensuring rigorous accuracy in both numerical code execution and physical equipment calibration.

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.

• Minimum Education: Education:
  
  Degree in Oceanography, Physics, Acoustics, Engineering, Applied Mathematics, or a closely related scientific discipline.

  (Specify required degree level here, e.g., M.S. or Ph.D., or B.S. with equivalent experience).

• Domain
  
  Experience:
  
  Demonstrated applied experience in experimental data analysis, wave propagation simulations, and acoustics.
• Unique Backgrounds:
  
  Candidates who possess a blend of rigorous computational…