PhD Engineer - Missile Defense Modeling & Simulation

The Johns Hopkins University Applied Physics Laboratory

Laurel (MD)

Presencial

USD 105 000 - 245 000

Tempo integral

14 dias+

Uma candidatura completa num minuto

Currículo e carta de apresentação personalizados, prontos a enviar.

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Resumo da oferta

The Johns Hopkins University Applied Physics Laboratory (APL) is seeking PhD-level researchers to advance Missile Defense concepts and systems. You will apply math, engineering, and physics to models, simulations, and analyses of sensors, battle management, communications, and kinetic/non-kinetic defenses.

Join a collaborative team solving challenging national security problems, with opportunities to develop prototypes, analyze real systems, and transition ideas to fielded capabilities.

Qualificações

  • Must have PhD in Electrical Engineering, Engineering Physics, Physics or Mathematics.
  • Strong programming and analytical skills, plus ability to write and present technical material.
  • Proficiency with MATLAB for analysis, algorithm development or data visualization.

Responsabilidades

  • Contribute to development and assessment of Missile Defense systems.
  • Model, analyze, and assess fielded systems; develop innovative concepts and algorithms.
  • Prepare presentations communicating technical recommendations to leadership and sponsors.

Conhecimentos

Programming
Technical writing
Presentation
Math & Physics

Formação académica

PhD in Electrical Engineering, Engineering Physics, Physics, Mathematics

Ferramentas

MATLAB

Descrição da oferta de emprego

The Johns Hopkins University Applied Physics Laboratory (APL) is seeking PhD-level researchers to advance Missile Defense concepts and systems. You will apply math, engineering, and physics to models, simulations, and analyses of sensors, battle management, communications, and kinetic/non-kinetic defenses.

Join a collaborative team solving challenging national security problems, with opportunities to develop prototypes, analyze real systems, and transition ideas to fielded capabilities.

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