Underwater Acoustics & Sonar Research Scientist (Hybrid)

Acoustical Society; Virginia; Hybrid; USD 125,000 - 225,000; Full time

Benefits offered by this job

Partial/hybrid telework

Medical, dental, and vision

401(k) retirement plan

Paid time off

Work with Navy customers

Job summary

ARiA seeks a scientist or engineer with deep expertise in underwater acoustics, sonar signal processing, or physics-based sonar simulation. You will formulate approaches, implement numerical methods, and validate results against theory and data for training, evaluation, and decision-support tools.

The position may be based in Madison, Virginia, or Seattle, Washington, requiring onsite collaboration with Navy customers.

Qualifications

• Master’s degree or Ph.D. in acoustics, ocean engineering, electrical engineering, applied physics, mathematics, mechanical engineering, or closely related field.
• Equivalent directly relevant research or engineering experience will be considered.
• Demonstrated research or engineering experience in underwater acoustic propagation, sonar signal processing, ocean-environment effects on acoustic sensing, or physics-based acoustic simulation.

Responsibilities

• Develop physics-based models of underwater sound propagation and sonar performance.
• Implement and test numerical or signal-processing algorithms in Python/C++/MATLAB.
• Collaborate with teams and Navy customers to integrate algorithms into tools.
• Plan, execute, and document technical work with clear assumptions and results.
• Communicate technical findings to multidisciplinary colleagues and customers.

Skills

Scientific Computing

Communication

Independent Work

Education

Master’s degree in acoustics/ocean engineering

PhD in acoustics/ocean engineering

Tools

Python

MATLAB

C

C++

Job description

ARiA seeks a scientist or engineer with deep expertise in underwater acoustics, sonar signal processing, or physics-based sonar simulation. You will formulate approaches, implement numerical methods, and validate results against theory and data for training, evaluation, and decision-support tools.

The position may be based in Madison, Virginia, or Seattle, Washington, requiring onsite collaboration with Navy customers.