Johns Hopkins Applied Physics Lab

2027 PhD Graduate - Radar, Machine Learning, Signal Processing, Data Science

Johns Hopkins Applied Physics Lab$105K — $245K *
Aerospace & Defense
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • PhD in Electrical Engineering, Electrical and Computer Engineering, Physics, or related field with a GPA above 3.5.
  • Familiar with Python, Matlab, or similar tools and modern development processes (git, GitLab, Jira).
  • Strong understanding of signal processing and/or electromagnetic theory.
  • Ability to obtain an Interim Secret security clearance and eventually a Top Secret/SCI clearance.
  • U.S. citizenship is required.

Responsibilities

  • Analyze live tactical-sensor data with a multidisciplinary team to provide mission-driven solutions.
  • Identify and address mission-critical problems.
  • Build and apply modeling & simulation tools, data-analysis platforms, and machine-learning algorithms to large datasets.
  • Develop and refine physics-based simulations for radar and electronic warfare systems.
  • Create novel instrumentation and algorithms to measure and analyze RF propagation effects.
  • Identify emergent phenomena and troubleshoot sensor performance issues in collaboration with experts.
  • Advance skills in machine learning, signal processing, and data science to tackle real-world challenges.

Benefits

  • Work on cutting-edge RF and signal processing research for the U.S. Navy and Department of War.
  • Access to a broad network of experts in various technical fields.
  • Opportunity to contribute to national security and advanced technology initiatives.
  • Challenges that encourage technical leadership development.
  • Support for obtaining security clearances to enable access to classified information.
Full Job Description
Description

We are seeking highly motivated PhD 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, new technology advanced sensor arrays/systems, wide-area-surveillance networks, currently fielded, and next generation systems.

Core 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.


Qualifications

You meet our minimum qualifications for the job if you...
  • Have a PhD degree in EE, ECE, Physics, or a similar technical field, with a GPA above 3.5.
  • 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.

You'll go above and beyond our minimum requirements if you...
  • Also have cross-discipline technical degrees, including minors, in EE, ECE, CS, Physics in addition to a PhD.
  • 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.

Minimum Rate

$105,000 Annually

Maximum Rate

$245,000 Annually

About Johns Hopkins Applied Physics Lab

The Johns Hopkins University Applied Physics Laboratory (APL) is a research and development organization that provides solutions to national security and scientific challenges. The laboratory was founded in 1942 and is located in Laurel, Maryland. APL is a division of the Johns Hopkins University and is a not-for-profit organization. The laboratory has expertise in a variety of areas, including space exploration, national security, and healthcare.
Learn more about Johns Hopkins Applied Physics Lab
Size
7,000 employees
Industry
Founded
1942

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