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Applied Mathematics and Underwater Acoustics Researcher

Peraton
Peraton Salary
Mississippi, MS Full Time
POSTED ON 1/30/2025
AVAILABLE BEFORE 2/28/2025
About Peraton

Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world's leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees do the can't be done by solving the most daunting challenges facing our customers. Visit peraton.com to learn how we're keeping people around the world safe and secure.

Program Overview

About The Role

Peraton is in need of an accomplished underwater acoustics, machine learning, and mathematics researcher to contribute to ongoing Navy Research Laboratory (NRL) research and development of operational tools for Navy use. This project consists of the design, analysis, and implementation of algorithms for the numerical solution of the Navy Standard Parabolic Equation (NSPE) for modeling underwater acoustic pressure that are more efficient than the approach employed by the NSPE software suite that is currently in use, without loss of accuracy.

This endeavor involves experimentation with state-of-the-art techniques for

  • The numerical solution of partial differential equations, including but not limited to Galerkin methods and spectral methods, and
  • Various problems from numerical linear algebra, including direct and/or iterative methods for solutions of linear systems, eigenvalue problems, and approximation of matrix functions via rational Krylov projection and related approaches.
  • NSPE is implemented in FORTRAN, but proposed algorithms are prototyped in MATLAB. Therefore, the successful candidate will be an expert in both FORTRAN and MATLAB and adept at porting applications from MATLAB into FORTRAN.
  • The research will involve extensive use of artificial neural networks, particularly convolutional recurrent autoencoder networks, to optimize computation.
  • This project requires substantial research experience and expertise, including broad foundational research knowledge, familiarity with cutting-edge research, and familiarity with NRL's research process in view of developing next-generation technology tools for Navy.
  • A strong background in both numerical analysis and machine learning is essential. A strong understanding of the theory behind mathematical modeling of sound waves and application of that theory to develop practical application is required.

Qualifications

Required Qualifications:

  • 5 years experience with a PhD
  • 5 years experience programming in FORTRAN and MATLAB
  • 2 years experience working with Navy Standard Parabolic Equation (NSPE) model
  • 5 years experience in numerical modeling of partial differential equations
  • Familiarity with machine learning techniques
  • Ability to obtain a Secret Clearance

SCA / Union / Intern Rate or Range

Details

Target Salary Range: $86,000 - $138,000. This represents the typical salary range for this position based on experience and other factors.

EEO:Peraton is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or other characteristic protected by law.

Salary : $86,000 - $138,000

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