PhD-Level Sensor Systems Engineer (Radar/EO/IR)

Johns Hopkins Applied Physics Laboratory; Laurel (MD); On-site; USD 105,000 - 245,000; Full time

Benefits offered by this job

Robust education assistance program

Unparalleled retirement contributions

Healthy work/life balance

Job summary

The Johns Hopkins University Applied Physics Laboratory (APL) seeks a PhD-qualified researcher to join our advanced sensor technologies team in radar, RF systems, and related fields.

Responsibilities include design, analysis, fabrication, and testing of sensor components, subsystems, and complete systems, plus development of advanced algorithms and performance assessments across projects.

Qualifications

• PhD degree in Electrical/Computer Engineering, CS, Mathematics, or Physics.
• Deep understanding in one or more: signal processing, RF, electromagnetics, communications, real-time software, firmware, or mechanical packaging/engineering.
• Experience with MATLAB, Python, and C/C++.
• Familiarity with RF tools and test equipment.
• Willingness to travel up to 5% and obtain security clearance.

Responsibilities

• Conceptual design and analysis of sensor components, subsystems and systems.
• Fabrication and testing of experimental hardware.
• Developing advanced algorithms and techniques.
• Assessment of system-level performance improvements from technology advancements.

Skills

Signal processing

RF systems

Electromagnetics

Communications

Real-time software

Firmware development

C/C++

Matlab/Python

Education

PhD in Electrical Engineering/Computer Engineering/CS/Math/Physics

Tools

Cadence AWR

Keysight ADS

Ansys Electronics Desktop

Altair FEKO

RF test equipment (spectrum analyzers, network analyzers, oscilloscopes)

Job description

The Johns Hopkins University Applied Physics Laboratory (APL) seeks a PhD-qualified researcher to join our advanced sensor technologies team in radar, RF systems, and related fields.

Responsibilities include design, analysis, fabrication, and testing of sensor components, subsystems, and complete systems, plus development of advanced algorithms and performance assessments across projects.