Physics

Johns Hopkins Applied Physics Laboratory•Laurel, MD

3d•Onsite

About The Position

We are seeking highly motivated Bachelor's and Master's graduates in Electrical Engineering (EE), Electrical and Computer Engineering (ECE), Physics, or a similar STEM technical degree, who are eager to dive into advanced Radio Frequency (RF), radar, and signal‑processing research and grow into the next generation of technical leaders for the U.S. Navy and other Department of War (DoW) sponsors. You will work in areas including leading-edge RF propagation, RF phenomenology, digital signal processing, advanced sensor arrays/systems, wide-area-surveillance networks, currently fielded, and next generation systems.

Requirements

Have a Bachelor's degree in Electrical Engineering, Electrical and Computer Engineering, Physics, or a similar technical field.
Some familiarity with Python, MATLAB, or equivalent, or have had some exposure to modern development process (git, GitLab, Jira, or equivalent).
Have a strong foundational understanding of signal processing, and/or electromagnetic theory (e.g., antenna systems, microwave transmission, RF propagation).
Are able to obtain an Interim Secret level security clearance by your start date and can ultimately obtain a Top Secret/SCI level clearance. If selected, you will be subject to a government security clearance investigation and must meet the requirements for access to classified information. Eligibility requirements include U.S. citizenship.

Nice To Haves

Have a Master's or multiple technical degrees, including minors, in Electrical Engineering, Electrical and Computer Engineering, Physics or a similar technical field.
Have radar or RF research experience (hardware, antennas, remote sensing, tracking, etc.).
Have an understanding of, and interest in, application of machine learning and data science, to sensor related problems.
Have internship experience related to DoW research, DoW contractors, or the advanced-technology industry.

Responsibilities

Analyze live tactical‑sensor data with a cross‑disciplinary team to deliver mission‑driven solutions.
Identify and solve problems that impact mission requirements.
Build and apply M&S tools, data analysis platforms, and machine learning algorithms to large data sets; develop novel algorithms that solve real-world problems.
Develop and refine physics based simulations that provide new insight into radar, EO/IR, and electronic warfare system performance in realistic operational environments.
Develop novel instrumentation and algorithms for understanding RF propagation effects by directly measuring, recording, and analyzing RF signal measurements.
Identify emergent phenomenology, troubleshoot problems affecting sensor performance, and work with a broad network of experts—including prime contractors, government labs, RF propagation and meteorology specialists, software developers, combat system engineers, and physicists—to deliver integrated solutions.
Develop and apply skills in machine learning, signal processing, and data science techniques to unprecedented real-world challenges.
Develop and apply skills that advance the state of the art in our core technology areas: signal processing, electromagnetics, software development, and boundary-layer meteorology.