2026 PhD Graduate - Next Gen RF Signal Processing/Sensing

Johns Hopkins Applied Physics LaboratoryLaurel, MD
Onsite

About The Position

We are seeking a PhD physicist, mathematician or engineer to help us develop algorithms and assess the performance of the next generation of radio frequency sensor systems for land, air, and sea-launched interceptors. You'll influence the development of powerful sensor algorithms. Dedicated teams have opportunities to tackle vital missile defense challenges. We strive to cultivate an environment of creativity and collaboration and value finding sophisticated solutions to hard problems.

Requirements

  • Possess a PhD in electrical engineering, applied math, physics, computer science, or a related field.
  • Knowledgeable or have research in one or more of the following: simulating or analyzing radio frequency electromagnetic signals, environments or sensors.
  • Proficient in one or more of the following programming languages: MATLAB, C++, or Python.
  • Practiced written and oral presentation skills.
  • Willingness to travel up to 15% of the time as needed.
  • Able to obtain a Secret clearance by your start date and can ultimately obtain clearance beyond Top Secret.
  • U.S. citizenship.

Nice To Haves

  • Experience with radar or missile systems.

Responsibilities

  • Derive requirements, perform trade studies, and analyze the performance of advanced sensor systems.
  • Develop, implement, test and verify high-fidelity, physics-based simulations of sensors and environments.
  • Act as APL's representative with sponsors and contractors and will collaborate with multidisciplined teams to solve difficult problems in air and missile defense.

Benefits

  • Robust education assistance program
  • Unparalleled retirement contributions
  • Healthy work/life balance
  • Retirement plans
  • Paid time off
  • Medical
  • Dental
  • Vision
  • Life insurance
  • Short-term disability
  • Long-term disability
  • Flexible spending accounts
  • Training and development
  • Sign-on bonus
  • Relocation benefits
  • Locality allowance
  • Discretionary payments for exceptional performance

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What This Job Offers

Job Type

Full-time

Career Level

Entry Level

Education Level

Ph.D. or professional degree

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