Systems Engineer Intern — MBSE & Digital Engineering

The Johns Hopkins University Applied Physics Laboratory

Laurel (MD)

On-site

USD 31,000 - 66,000

Part time

14 days+
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Job summary

The Johns Hopkins University Applied Physics Laboratory (APL) seeks motivated engineering students for internships in Systems Engineering with a focus on Digital Engineering (DE) and Model-Based Systems Engineering (MBSE). Interns will assist with concept development, requirements engineering, and integration tasks that support national defense programs.

Qualified candidates are pursuing degrees in engineering or related fields, have some programming experience (C++, Python, MATLAB), and can

Qualifications

  • Pursuing a Bachelor’s, Master’s, and/or PhD in a technical field such as Systems Engineering, Physics, Mathematics, CS, or related disciplines.
  • Familiarity with programming languages and methodologies (C++ on Linux, Python, MATLAB, Java).
  • Ability to demonstrate problem-solving in technical areas and work well in a team or independently.
  • Minimum 3.0 GPA; transcripts may be requested.
  • Eligible to obtain Interim Secret clearance by start date and Secret clearance eventually; U.S. citizenship required.

Responsibilities

  • Support concept and requirements development.
  • Assist in mission engineering-to-test integration efforts.
  • Implement model-based and digital engineering best practices.

Skills

MBSE
Digital Engineering
Problem solving
Teamwork
Communication

Education

Bachelor's/Master's/PhD in Systems Engineering, Physics, Mathematics, Statistics, Computer Science, Data Science, Aerospace Eng, Electrical Eng, Mechanical Eng

Tools

C++ on Linux
Python
MATLAB
Java
JavaScript
SysML
OOSEM

Job description

The Johns Hopkins University Applied Physics Laboratory (APL) seeks motivated engineering students for internships in Systems Engineering with a focus on Digital Engineering (DE) and Model-Based Systems Engineering (MBSE). Interns will assist with concept development, requirements engineering, and integration tasks that support national defense programs.

Qualified candidates are pursuing degrees in engineering or related fields, have some programming experience (C++, Python, MATLAB), and can

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