Naval Systems Modeling Intern - Python/C++ & ML

Johns Hopkins Applied Physics Lab; Laurel (MD); On-site; USD 31,000 - 66,000; Full time

Job summary

Johns Hopkins Applied Physics Laboratory (APL) seeks motivated interns to work on simulations of Naval capabilities, analysis tools, and early research into promising defense technologies. You will join a multi-disciplinary team in a collaborative environment focused on realistic modeling, data analysis, and robust solutions to complex problems.

Ideal candidates are pursuing engineering, CS, math, or physics degrees with strong Python or C++ skills, and a willingness to work with MBSE and signal

Qualifications

• Pursuing a degree in Engineering, Computer Science, Math, or Physics with a minimum GPA of 3.0 (4.0 scale).
• Detailed knowledge and practical experience in either Python or C++.
• Interest in modeling and simulation design, signal processing related to radar or communications, decision processes, or MBSE.
• Strong interpersonal and communication skills.
• Eligible to obtain Interim Secret security clearance by start date and eventual Secret clearance; U.S. citizenship required.

Responsibilities

• Develop dynamic, physics-based models/simulations to assess how physics affects sensor, C2, and weapon systems performance.
• Develop data-analytic tools to analyze systems, diagnose issues, and propose operational solutions.
• Advance cutting-edge concepts to improve Navy situational awareness and resource allocation in a changing battlefield.

Skills

Python

C++

Matlab

Education

Pursuing a degree in Engineering/CS/Math/Physics with GPA 3.0+

Job description

Johns Hopkins Applied Physics Laboratory (APL) seeks motivated interns to work on simulations of Naval capabilities, analysis tools, and early research into promising defense technologies. You will join a multi-disciplinary team in a collaborative environment focused on realistic modeling, data analysis, and robust solutions to complex problems.

Ideal candidates are pursuing engineering, CS, math, or physics degrees with strong Python or C++ skills, and a willingness to work with MBSE and signal