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McLaughlin Research Corporation · 5 months ago

ACOUSTIC SIGNAL PROCESSING ENGINEER-JD

Newport, RI

Full-time

Onsite

Entry, Mid Level

1+ years exp

McLaughlin Research Corporation (MRC) is seeking an Acoustic Signal Processing Engineer to support the Naval Undersea Warfare Center in Newport, RI. The role involves analyzing acoustic data sets, performing Acoustic Intelligence screening, and manipulating hardware/software configurations for data analysis.

Military

Senior Management

No H1B

Security Clearance Required

U.S. Citizen Only

Responsibilities

Analyze acoustic data sets to derive qualitative and quantitative technical measurements from recorded acoustic data

Perform Acoustic Intelligence screening of acoustic data collections to develop acoustic tracks and signatures. Candidate will apply environmental data to the analyses to conduct technical measurements

Manipulate hardware/software configurations to permit reading of data from multiple sources

Attend and participate in data reviews as required. Document analyses in presentations, briefings, or technical papers

Qualification

Acoustic data analysisC++ programmingUndersea acousticsPythonMATLABMachine learningSignal processingCommunication skillsInterpersonal skills

Required

Must be a U.S. citizen, eligible for U.S. Department of Defense (DoD) security clearance

Master's Degree in Acoustics, Ocean Engineering or related technical degree such as Oceanography or Physics (focused on acoustics) or be a PhD candidate with over 1 year of required coursework completed

Experience with modern analytics software tools (e.g. Python, MATLAB, Mathematica)

Experience with C++ programming language

Demonstrated expertise in developing undersea electro-mechanical systems

Experience with undersea acoustics and sonar processing chains

Preferred

Possessing a current U.S. Department of Defense (DoD) security clearance (TS/SCI Eligible)

PhD in applicable discipline (Acoustics, Ocean Engineering, Oceanography, Physics with Acoustics focus)

Experience with Operations Research and Operations Analysis techniques

Experience with the following: Feature development for clutter characterization and clutter versus target discrimination

Application of advanced machine learning techniques for improved active sonar automation

Artificial intelligence for next-generation active sonar automation

Signal and information processing technologies which exploit in situ environmental knowledge

Previous experience analyzing U.S. Navy sonar systems performance, including propagation modeling

Application of advanced machine learning techniques for improved passive sonar automation

Optimal combination of information produced by disparate sensors, integration times, bandwidths and ranges

Computationally efficient implementation of signal processing algorithms

Long-term association, classification, tracking and localization of intermittent contacts

Modeling and simulation to set system performance expectations for advanced undersea acoustic systems

Field testing, especially at-sea testing including system deployment, operation, and recovery operations

Knowledge of acoustic communications; UUV design, design tools, and component technology; architectures for unmanned systems; sensor, source, and array design (towed, conformal, drifting, or bottomed)