Mission Systems Eng Intern — Data-Driven Simulations

Johns Hopkins Applied Physics Lab

Laurel (MD)

Vor Ort

USD 31.000 - 66.000

Vollzeit

14 Tage+

Eine vollständige Bewerbung in einer Minute

Maßgeschneiderter Lebenslauf und Anschreiben – versandbereit.

Schaffe es an den ATS-Filtern vorbei

Zusammenfassung

Johns Hopkins University Applied Physics Laboratory seeks an intern for the Weapon Systems Engineering group to tackle complex missile defense challenges. You will develop tools to generate, visualize, and analyze simulated data, and contribute to real-world system analyses and testing.

Ideal candidates are pursuing CS/engineering/physics/applied math degrees, with MATLAB/Python skills, Linux experience, and a GPA of 3.0 or higher. Eligibility for security clearance and U.S.

Qualifikationen

  • Pursuing a Bachelor’s or Master’s degree in CS, Engineering, Physics or Applied Math.
  • Strong interest in computing, simulations, data analysis, and autonomous air vehicles.
  • Proficiency in MATLAB and/or Python.
  • Experience developing or troubleshooting software in a Linux environment.
  • Minimum 3.0 GPA on a 4.0 scale.
  • Eligibility for Interim Secret clearance and U.S. citizenship.

Aufgaben

  • Develop tools to generate, visualize, and analyze simulated guided missile data using high-fidelity/mixed-fidelity simulations.
  • Assist in the development and efficient use of containerized software.
  • Use real world data to verify and validate complex models.
  • Present key findings to internal stakeholders and peers.
  • Impact processes and decisions on system design to keep our war-fighter safe.

Kenntnisse

MATLAB
Python
Data analysis
Linux

Ausbildung

Bachelor’s or Master’s degree in Computer Science, Engineering, Physics or Applied Math

Tools

Git
GitLab
GitHub
SLURM
UNIVA grid engine

Jobbeschreibung

Johns Hopkins University Applied Physics Laboratory seeks an intern for the Weapon Systems Engineering group to tackle complex missile defense challenges. You will develop tools to generate, visualize, and analyze simulated data, and contribute to real-world system analyses and testing.

Ideal candidates are pursuing CS/engineering/physics/applied math degrees, with MATLAB/Python skills, Linux experience, and a GPA of 3.0 or higher. Eligibility for security clearance and U.S.

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