Acoustics Signal Processing Analyst (Engineering Scientist) Full-time

Acoustics Signal Processing Analyst (Engineering Scientist)

Hiring Department: Applied Research Laboratories

Position Open To: All Applicants

Weekly Scheduled Hours: 40

FLSA Status: Exempt from FLSA

Earliest Start Date: Immediately

Position Duration: Expected to Continue

Location: PICKLE RESEARCH CAMPUS

Purpose

Develop and examine signal processing algorithms and analyze data processing results to support the development, evaluation, and improvement of Navy SONAR systems. Participate in the research and development efforts within the Environmental Sciences Laboratory (ESL) of Applied Research Laboratories.

Responsibilities

• Process and/or analyze acoustic data for use in SONAR system development. Includes the development of novel signal processing and automation algorithms to solve identified problems.
• Conduct acoustic and system engineering to test and evaluate SONAR signal processing and automation algorithms developed both internally and externally.
• Implement research grade software and analysis tools in MATLAB, Python, or similar programming languages. Software applications may include novel graphic visualizations, signal processing applications such as beamformers, automated trackers, automated target classifiers, applications for machine learning, and other algorithms as needed.
• Preparation and review of analysis presentations and technical reports. Presentation of analysis results at internal and external working group meetings.
• Support collaborative research efforts with other team members.
• Other related functions as assigned.

Required Qualifications

• Bachelor's degree in Engineering, Physics, or related discipline.
• Three or more years of experience and demonstrated proficiency with one or more of the following:
• Signal processing
• Automation algorithm design and evaluation
• Acoustics
• System/software design
• Machine learning
• Data processing and analysis
• Experience in an applied research environment, contributing to projects from conception to implementation.
• Experience with developing software tools using MATLAB, Python, or similar language.

Applicant must have a dynamic skill set, be willing to work with new technologies, be highly organized and capable of planning and coordinating multiple tasks and managing their time. The position will require: attention to detail, effective problem-solving skills, sound engineering judgment, ability to work independently with sensitive and confidential information, ability to maintain a professional demeanor and work as a team member without daily supervision, and effectively communicate with various groups of clients; ability to work under pressure and accept supervision; regular and punctual attendance.

US Citizen. Applicant selected will be subject to a government security investigation and must meet eligibility requirements for access to classified information at the level appropriate to the project requirements of the position.

Preferred Qualifications

• Master's degree or Ph. D. in Engineering, Signal Processing, Acoustics, Physics, or related discipline.
• Current or recent eligibility for access to classified information.
• Five years of experience with one or more of the following:
• Analysis of acoustic data
• Signal processing or automation algorithm design
• Estimating sonar system performance
• Experience in machine learning, predictive analytics, and big data analysis.
• Three or more years of experience with software design, programming, and analysis using MATLAB, Python, or similar language.
• Experience working in both Windows and Linux environments.
• Experience summarizing analysis results in technical reports and/or PowerPoint and presenting research results.
• Proven ability to work independently, formulate research plans, take initiative, and mentor other staff.
• Demonstrated excellent interpersonal communication and presentation skills.
• Cumulative GPA of 3.0 or greater.

Salary Range

$104,000-$174,000+/negotiable depending on qualifications

Working Conditions

• Standard office conditions
• Repetitive use of a keyboard at a workstation
• Use of manual dexterity
• Some weekend, evening and holiday work
• Possible interstate/intrastate travel

Required Materials

• Resume/CV
• 3 work references with their contact information; at least one reference should be from a supervisor
• Letter of interest
• Unofficial college transcripts