Naval Systems Simulation Intern (Python/C++)

The Johns Hopkins University Applied Physics Laboratory; Laurel (MD); On-site; USD 40,000 - 66,000; Full time

Job summary

The Johns Hopkins University Applied Physics Laboratory (APL) seeks motivated interns to work on dynamic physics-based models and simulations supporting Navy systems. You will develop analytical tools, apply data analytics to assess performance, and contribute to research in advancing sensor and weapon system capabilities.

Ideal candidates are pursuing degrees in Engineering, Computer Science, Math, or Physics with strong Python or C++ skills, MBSE interest, and the ability to obtain security

Qualifications

• Pursuing a degree in Engineering, Computer Science, Math, or Physics
• Interest in modeling and simulation design and signal processing related to radar or communications systems
• Knowledge of Python or C++ with practical experience
• Ability to obtain Interim Secret security clearance by start date and eventually a Secret clearance

Responsibilities

• Develop dynamic physics-based models/simulations of sensor, C2, and weapon systems
• Create data analytic tools to analyze performance and identify root causes
• Advance cutting-edge concepts to enhance Navy situational awareness and resource allocation

Skills

Python

C++

Modeling & Simulation

MBSE

Education

Engineering / Computer Science / Math / Physics degree

Tools

MATLAB

Job description

The Johns Hopkins University Applied Physics Laboratory (APL) seeks motivated interns to work on dynamic physics-based models and simulations supporting Navy systems. You will develop analytical tools, apply data analytics to assess performance, and contribute to research in advancing sensor and weapon system capabilities.

Ideal candidates are pursuing degrees in Engineering, Computer Science, Math, or Physics with strong Python or C++ skills, MBSE interest, and the ability to obtain security