Acoustics Signal Processing Scientist — Navy R&D

University of Texas

Austin (TX)

On-site

USD 104,000 - 174,000

Full time

14 days+

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Benefits offered by this job

Employer-paid medical coverage
Retirement contributions
Paid vacation and sick time
Paid holidays

Job summary

University of Texas is seeking an Acoustics Signal Processing Analyst (Engineering Scientist) at the Pickle Research Campus to develop and evaluate sonar-related signal processing algorithms and data analysis tools. The role supports Navy sonar system projects within ARL/ESL and requires cross-disciplinary collaboration.

The position emphasizes software development in MATLAB/Python, presentation of findings, and advancing research from concept through implementation in a high-security

Qualifications

  • Bachelor’s degree in Engineering, Physics, or related discipline.
  • Experience with signal processing, automation algorithms, acoustics, and data analysis.
  • Programming experience in MATLAB or Python in applied research.

Responsibilities

  • Process and analyze acoustic data for SONAR system development.
  • Develop and test signal processing and automation algorithms.
  • Implement software tools in MATLAB/Python; create visualizations and classifiers.
  • Prepare analysis reports and present results at meetings.
  • Collaborate with team members on research tasks.

Skills

Signal processing
Automation algorithm design
Acoustics
System/software design
Machine learning
Data processing and analysis

Education

Bachelor’s degree in Engineering/Physics/related
Master’s degree or Ph.D. in Engineering/Signal Processing/Acoustics/Physics

Tools

MATLAB
Python

Job description

University of Texas is seeking an Acoustics Signal Processing Analyst (Engineering Scientist) at the Pickle Research Campus to develop and evaluate sonar-related signal processing algorithms and data analysis tools. The role supports Navy sonar system projects within ARL/ESL and requires cross-disciplinary collaboration.

The position emphasizes software development in MATLAB/Python, presentation of findings, and advancing research from concept through implementation in a high-security

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