Physics/Engineering Intern

TitlePhysics/Engineering Intern

Location: Culpeper, VA office

Applied Research in Acoustics (ARiA) applies broad interdisciplinary expertise in acoustics, modeling & simulation, signal processing, and cognitive science toward innovative science and engineering research and development for a diverse set of government and corporate clients that focuses on modeling & simulation for training and model-based signal-processing and artificial intelligence for detection and classification. Partnering with government, industry, and academia, ARiA solves critical challenges.

To enable effective and efficient transition of applied research to advanced development of products and systems, ARiA is structured to bring together top-quality research scientists with development and software engineers in an environment in which research and development mutually benefit from joint leveraging of in-house expertise.

ARiA is a small business where you can make a big difference. Our employees, including those at entry-level, are working together with the CIO of the Air Force to use cognitive computing to change the way the government acquires technology and working with top Navy leaders to use video games and simulation to change the way sailors are trained to use sonar.

For more information, visit

ARiA: Real Research. Real World.TM

ARiA is an Equal Opportunity Employer.

Position Description:

Entry-level Summer Intern (0-2+ years of experience) to support development of automatic target recognition (ATR) for Mine Counter Measures (MCM) and unexploded ordnance (UXO) mitigation working in close coordination with ARiA scientists and engineers.

Responsible for:

Algorithm development and testing for ATR and feature learning from operational and synthetic MCM and UXO side-scan and synthetic-aperture sonar (SAS) data.

Processing and characterization of operational and synthetic MCM and UXO sonar data.

Sample tasks:

Computational generation of synthetic MCM and UXO sonar data using PC SWAT and other modeling tools.

Modeling topological structure of low-frequency scattering from UXO targets.


Pursuing a Bachelor’s degree in Physics, Engineering, or equivalent


Exceptional ability and desire to acquire new knowledge and skills to solve challenges

Ability to work independently but collaboratively

Ability to manage multiple projects in a fast-paced professional office environment

Ability to communicate technical solutions to project management and the development team

Good oral and written communications skills

Applicants selected for employment may be subject to a government security investigation and must meet eligibility requirements, including U.S. citizenship, for access to sensitive information.

Desirable Skills, Qualifications, and Experience:

Exposure to or interest in acoustics and the underwater environment

Exposure to or interest in signal processing and machine learning

Interested applicants should submit a resume and cover letter to