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Johns Hopkins Applied Physics Laboratory · 4 months ago

2026 PhD Graduate – Signal Processing / Communications and Networking Scientist

Laurel, MD

Full-time

Onsite

New Grad, Entry Level

$102K/yr - $228K/yr

Johns Hopkins Applied Physics Laboratory is seeking talented and innovative graduates for their Networked Systems and Integrated Fires Group. The role involves conducting algorithm development, modeling, and analysis for air and missile defense systems, focusing on improving existing systems and proposing new concepts.

EducationUniversities

No H1B

Security Clearance Required

U.S. Citizen Only

Responsibilities

Your primary responsibility will be contributing to the development of distributed air and missile defense systems

You will model, analyze, and study performance of current systems, identify opportunities for improvements, and propose and develop new algorithms and concepts

You will document technical results and communicate your findings and recommendations to APL staff, contractors and sponsors. You will write reports and algorithm descriptions and present analysis results, and status updates

You will be a part of dynamic and collaborative group with many possibilities for growth and advancement

You will contribute to and lead cross organization team efforts, influence solutions, and continually learn from those around you as part of a mutually supportive team of scientists, engineers, analysts, and software system developers

Qualification

Signal ProcessingCommunications TheoryNonlinear OptimizationMATLABPythonC/C++Research PublicationClear CommunicationTeam Collaboration

Required

Have a PhD degree in Electrical Engineering, Mathematics, Physics, or a related field

Have background in one or more of the following broad research areas and related subspecialties: signal processing (adaptive signal processing, statistical signal processing, image processing, radar signal processing, etc.), communications theory (wireless communications, satellite communications, communications networks, etc.), nonlinear optimization (optimization theory, information theory, machine learning, etc.)

Have experience using MATLAB, Python, and/or C/C++ for algorithm development, modeling and simulation

Can clearly communicate ideas and results

Are able to obtain an Interim Secret level security clearance by your start date and a final Secret clearance after you start. 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

Preferred

Have practical experience working with radio frequency (RF) and/or infrared (IR) sensors and signals

Have an active Secret security clearance

Have peer-reviewed publication history

Benefits

Generous benefits

Robust education assistance program

Unparalleled retirement contributions

Healthy work/life balance

Comprehensive benefits package including retirement plans, paid time off, medical, dental, vision, life insurance, short-term disability, long-term disability, flexible spending accounts, education assistance, and training and development

Company

Johns Hopkins Applied Physics Laboratory

The Johns Hopkins Applied Physics Laboratory (APL) is a not-for-profit university-affiliated research center (UARC) that provides solutions to complex national security and scientific challenges with technical expertise and prototyping, research and development, and analysis.

Founded in 1942