2027 Internship – Sensor & Phenomenology Engineering Intern

Johns Hopkins Applied Physics Laboratory•Laurel, MD

1d•Onsite

About The Position

This internship focuses on applied Research & Development within the Sensor Engineering and Phenomenology Group. The intern will analyze tactical and simulation data, develop system concepts, and contribute to defensive capabilities for the U.S. The role involves working in a creative environment with engineers, physicists, and computer scientists to solve challenging technical national security problems. The intern will gain experience in analyzing data from live-fire test events, developing physics-based simulations, applying machine learning and signal processing, developing novel instrumentation for RF signal measurements, and advancing skills in signal processing, electromagnetics, software development, and boundary-layer meteorology. Communication of results to technical leads, colleagues, and managers is also a key aspect of the role.

Requirements

Pursuing a Bachelor's, Master's, or PhD degree in Electrical Engineering, Electrical and Computer Engineering, Computer Science, Engineering Physics, Physics, or a similar major.
A minimum 3.0 GPA on a 4.0 scale.
A passion for programming and analysis, and are familiar with MATLAB or Python.
Able to obtain an Interim Secret level security clearance by your start date and can ultimately obtain Secret level clearance.
U.S. citizenship.

Nice To Haves

Pursuing multiple technical degrees.
Proficient with MATLAB or Python.
Any radar or RF research experience (hardware, antennas, remote sensing, tracking, etc.).

Responsibilities

Analyze recorded data from live-fire test events to gain insights into system performance, particularly with regard to environmental effects/physics.
Develop and apply detailed, physics-based simulations written in MATLAB, Java, C/C++, and Python.
Learn and creatively apply machine learning, signal processing, and data science to real-world problems that no one else has previously solved.
Develop novel instrumentation and algorithms for understanding RF propagation effects by directly measuring, recording, and analyzing RF signal measurements.
Learn, apply skills, and advance the state of the art in our core technology areas of: signal processing, electromagnetics, software development, and boundary-layer meteorology.
Communicate your results to technical leads, colleagues, and managers and receive feedback on the impact of your work relative to our group’s mission.