Internship in Advanced Sensor Tech & Radar Systems

Johns Hopkins Applied Physics Lab

Laurel (MD)

On-site

USD 31,000 - 66,000

Full time

3 days ago
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Benefits offered by this job

Education assistance
Retirement contributions
Work-life balance

Job summary

The Johns Hopkins Applied Physics Laboratory (APL) offers an internship focusing on innovative sensor technologies and advanced engineering. Pursuing a degree in engineering, computer science, math, or physics, you will work with mentors on radar, EW, and communications projects and contribute to real-world sensor research.

You will gain experience in digital hardware, firmware, FPGAs, signal processing, RF systems, and phased arrays while participating in hands-on design, testing, and algorithm

Qualifications

  • Pursuing a Bachelor’s, Master’s, or Doctoral degree in Electrical, Computer or Mechanical Engineering, Computer Science, Mathematics, or Physics.
  • Minimum 3.0 GPA on a 4.0 scale.
  • Ability to obtain Interim Secret clearance by start date and Secret clearance eventually.
  • U.S. citizenship required for access to classified information.

Responsibilities

  • Analyze sensor technologies, subsystems, and new system concepts.
  • Fabricate and test experimental hardware.
  • Develop sophisticated algorithms and sensing techniques.

Skills

Digital hardware
Firmware
FPGAs
Advanced signal processing
RF design
Radar systems
EO/IR sensing

Education

Bachelor’s/Master’s/Doctoral in Electrical, Computer or Mechanical Engineering, Computer Science, Mathematics, or Physics

Job description

The Johns Hopkins Applied Physics Laboratory (APL) offers an internship focusing on innovative sensor technologies and advanced engineering. Pursuing a degree in engineering, computer science, math, or physics, you will work with mentors on radar, EW, and communications projects and contribute to real-world sensor research.

You will gain experience in digital hardware, firmware, FPGAs, signal processing, RF systems, and phased arrays while participating in hands-on design, testing, and algorithm

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