Sensor Engineering & RF Phenomenology Intern

Johns Hopkins Applied Physics Laboratory; Laurel (MD); On-site; USD 32,000 - 66,000; Full time

Benefits offered by this job

Education assistance

Retirement contributions

Work-life balance

Job summary

Johns Hopkins Applied Physics Laboratory (APL) seeks an intern in Sensor Engineering and Phenomenology to analyze tactical and simulation data and help develop system concepts for defensive capabilities. You will work with engineers, physicists, and computer scientists on challenging national security problems.

As part of the team, you will develop simulations, apply ML and signal processing, and learn RF measurement techniques while contributing to core technology areas.

Qualifications

• Pursuing a Bachelor's, Master's, or PhD in Electrical Engineering, ECE, CS, Engineering Physics, or a related field.
• Minimum 3.0 GPA on a 4.0 scale.
• Familiarity with MATLAB or Python and programming.
• Eligible for Interim Secret security clearance and eventual Secret clearance; U.S. citizenship required.

Responsibilities

• Analyze data from live-fire tests to assess performance and environmental effects.
• Develop physics-based simulations using MATLAB, Java, C/C++, and Python.
• Apply machine learning, signal processing, and data science to national security problems.
• Create instrumentation and algorithms to study RF propagation from measurements.
• Advance theory in signal processing, electromagnetics, software development, and related areas.
• Present results to technical leads and managers and justify impact on the team’s mission.

Skills

MATLAB

Python

C/C++

Data analysis

University eligibility

Education

Bachelor’s, Master’s, or PhD in Electrical Engineering, ECE, CS, Engineering Physics, Physics

Tools

MATLAB

Python

C/C++

Job description

Johns Hopkins Applied Physics Laboratory (APL) seeks an intern in Sensor Engineering and Phenomenology to analyze tactical and simulation data and help develop system concepts for defensive capabilities. You will work with engineers, physicists, and computer scientists on challenging national security problems.

As part of the team, you will develop simulations, apply ML and signal processing, and learn RF measurement techniques while contributing to core technology areas.