Defense Modeling & Simulation Intern (Python/C++)

The Johns Hopkins University Applied Physics Laboratory; Laurel (MD); Sur place; USD 31 000 - 66 000; Plein temps

Résumé du poste

The Johns Hopkins University Applied Physics Laboratory seeks motivated interns to build sophisticated simulations of Naval capabilities and to develop analysis tools for evaluating system performance. You will explore data-driven methods and MBSE concepts while collaborating with a multidisciplinary team in a challenging defense environment.

Ideal candidates are pursuing STEM degrees with strong Python/C++ skills and an interest in signal processing related to radar or comms, and able to obtain

Qualifications

• Pursuing a degree in Engineering, Computer Science, Math, or Physics with a 3.0+ GPA.
• Knowledge and practical experience in Python or C++.
• Interest in modeling/simulation design, signal processing for radar/communications, MBSE or related areas.

Responsabilités

• Develop dynamic physics-based models and simulations to study how physics affects sensor, C2, and weapon systems.
• Create data analysis tools to evaluate performance and identify root causes.
• Advance concepts and technologies to improve naval situational awareness and resource allocation.

Connaissances

Python

C++

Matlab

Formation

Engineering/CS/Math/Physics degree

Description du poste

The Johns Hopkins University Applied Physics Laboratory seeks motivated interns to build sophisticated simulations of Naval capabilities and to develop analysis tools for evaluating system performance. You will explore data-driven methods and MBSE concepts while collaborating with a multidisciplinary team in a challenging defense environment.

Ideal candidates are pursuing STEM degrees with strong Python/C++ skills and an interest in signal processing related to radar or comms, and able to obtain