PhD GN&C Engineer for Strategic Missile Flight Systems

The Johns Hopkins University Applied Physics Laboratory

Laurel (MD)

On-site

USD 105,000 - 245,000

Full time

11 days ago

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Job summary

The Johns Hopkins University Applied Physics Laboratory seeks a PhD graduate to join the Missile GN&C engineering team in Laurel, MD. You will help design and evaluate GN&C subsystems for strategic missile systems, using state estimation and Kalman filtering in 6-DOF simulations.

You will work with MATLAB/Simulink, present results to sponsors, and contribute to independent evaluations that inform system performance and design.

Qualifications

  • Have, or soon to have, a PhD in Engineering, Physics, Math, or a related field.
  • Coursework and/or research in flight dynamics, guidance, navigation, or control, linear state-space systems, physical system modeling, or estimation theory.
  • Willing to learn new skills and expand capabilities.
  • Able to obtain Interim Secret clearance by start date and ultimately Top Secret clearance; U.S. citizenship required.

Responsibilities

  • Develop innovative GN&C methodologies for next-generation strategic missile flight systems.
  • Apply state estimation techniques to problems with large state representations for on-board implementations and post-flight analysis.
  • Develop and understand weapon system navigation error models from a math/physics perspective.
  • Work with MATLAB and Simulink to generate navigation sensor models and conduct performance trade studies.
  • Develop navigation algorithms for 6-DOF simulations.
  • Present analysis and results to sponsors to inform weapon system performance and designs.

Skills

MATLAB
Simulink
C++
Kalman filtering

Education

PhD in Engineering, Physics, Math

Tools

MATLAB
Simulink

Job description

The Johns Hopkins University Applied Physics Laboratory seeks a PhD graduate to join the Missile GN&C engineering team in Laurel, MD. You will help design and evaluate GN&C subsystems for strategic missile systems, using state estimation and Kalman filtering in 6-DOF simulations.

You will work with MATLAB/Simulink, present results to sponsors, and contribute to independent evaluations that inform system performance and design.

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