Johns Hopkins Applied Physics Lab

2027 PhD Graduate - Distributed Tactical Awareness

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

Qualifications

  • PhD or equivalent Doctorate in Engineering, Mathematics, Physics, Computer Science or related field
  • Proficiency in programming languages like C++, Java, Python, or MATLAB
  • Strong skills in applying probability and statistics
  • Ability to work independently and collaboratively
  • Effective written and oral communication skills
  • Eligibility to obtain Interim Secret security clearance as a U.S. citizen

Responsibilities

  • Understand and enhance algorithms for sensor data fusion and combat planning
  • Simulate scenarios to evaluate system performance and discover improvement areas
  • Integrate warfighter needs with scholarly research to prototype tactical algorithms
  • Analyze data from live test events for informed engineering decisions
  • Collaborate with cross-disciplinary teams and share findings
  • Engage with Navy personnel by visiting ships and working with warfighters

Benefits

  • Opportunities to work on cutting-edge defense technologies
  • Engagement with Navy ships and active personnel
  • Supportive collaborative work environment
  • Focus on hands-on application of research and engineering solutions
  • Direct influence on warfighter decision-making and operational effectiveness
Full Job Description
Description

The U.S. Navy and Joint Forces face increasingly dangerous and complex threats, including autonomous vehicles, sophisticated anti-ship missiles, and ballistic missiles. To defend sailors and marines from these threats, we in the Distributed Tactical Awareness and Decision-Making Group work to solve command and control challenges related to sensor integration, information fusion, and distributed kill chains. We are seeking engineers, physicists, mathematicians, and computer scientists to join our team to research, develop, and analyze innovative solutions to emerging warfighter challenges.

As a new member of the Distributed Tactical Awareness and Decision-Making group, you will
  • Seek to understand and improve algorithms underpinning sensor data fusion, combat planning, management, and optimization decisions, and weapon system employment
  • Simulate scenarios to assess system performance and identify areas for improvement
  • Parse warfighter needs in conjunction with scholarly literature to prototype tactical algorithms
  • Analyze data from live test events to directly inform engineering decisions
  • Collaborate with cross disciplinary teams and share your work both externally and internally
  • Have opportunities to visit Navy ships and to work with sailors, officers, and other warfighters

Qualifications

You meet our minimum qualifications for the job if you...
  • Have a PhD or equivalent Doctorate degree in Engineering, Mathematics, Physics, Computer Science or equivalent
  • Are proficient with C++, Java, Python, MATLAB, or similar programming languages
  • Are comfortable applying mathematics, especially probability and statistics
  • Like to work both independently and as part of a team
  • Have good written and oral communication skills
  • Are able to obtain an Interim Secret level security clearance by your start date and can ultimately obtain a Secret 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...
  • Have a background in physics (RF physics and/or Optics preferred)
  • Have experience with Kalman filtering, sensor fusion, or tracking
  • Have worked with machine learning methods and algorithms
  • Hold an active SECRET (or above) clearance

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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