Modeler & Data Analyst for Undersea Sensor Systems

The Johns Hopkins University Applied Physics Laboratory

Laurel (MD)

Presencial

USD 105.000 - 245.000

Jornada completa

14 días+

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Ventajas ofrecidas por este puesto de trabajo

Sign-on bonus
Relocation benefits
Locality allowance
Discretionary payments for exceptional

Descripción de la vacante

The Johns Hopkins University Applied Physics Laboratory (APL) seeks a Modeler and Data Analyst to design, prototype, and test sonar and electromagnetic sensor systems. You will contribute to advancing U.S.

Navy capabilities through sensor performance prediction and assessment, joining a team of physicists, engineers, and mathematicians. Responsibilities include conducting sensor system performance modeling for undersea projects, developing models of underwater propagation, analyzing system data,

Formación

  • PhD required in physics, engineering, or applied mathematics.
  • Knowledge of acoustic or electromagnetic wave propagation.
  • Proficient in MATLAB or Python.
  • Must be able to obtain Interim Secret clearance by start date and pursue Top Secret clearance.

Responsabilidades

  • Conduct sensor system performance modeling for undersea warfare projects.
  • Develop, maintain, and extend models of underwater acoustic or electromagnetic propagation and system performance.
  • Analyze sonar or electromagnetic system data.
  • Document and present results.

Conocimientos

Sensor modeling

Educación

PhD in Physics, Engineering, or Applied Mathematics

Herramientas

MATLAB
Python

Descripción del empleo

The Johns Hopkins University Applied Physics Laboratory (APL) seeks a Modeler and Data Analyst to design, prototype, and test sonar and electromagnetic sensor systems. You will contribute to advancing U.S.

Navy capabilities through sensor performance prediction and assessment, joining a team of physicists, engineers, and mathematicians. Responsibilities include conducting sensor system performance modeling for undersea projects, developing models of underwater propagation, analyzing system data,

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