Applied Algorithms Engineer: AI/ML for Missile Defense

The Johns Hopkins University Applied Physics Laboratory

Laurel (MD)

On-site

USD 105,000 - 245,000

Full time

14 days+

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Job summary

The Johns Hopkins University Applied Physics Laboratory (APL) seeks innovative PhD graduates to join our defense research group. You will conduct systems analysis, identify gaps, and develop novel AI/ML concepts, data fusion, and distributed algorithms to advance U.S.

missile defense capabilities. You will work with engineers and scientists to implement modeling and simulation components, analyze results, and present insights to sponsors, with opportunities to transition prototypes to fielded

Qualifications

  • PhD required in Math, CS, Physics, EE or related field.
  • Strong analytical/problem-solving skills.
  • Familiarity with probabilistic algorithms and numerical methods.
  • Programming experience in MATLAB, C++, Python or similar.

Responsibilities

  • Conduct systems analysis and identify gaps for missile defense concepts.
  • Develop AI/ML-based concepts and data fusion approaches.
  • Implement algorithms and design modeling/simulation components.
  • Translate simulation outputs into clear insights for sponsors.
  • Deliver presentations to technical staff and government sponsors.
  • Develop prototypes and help transition ideas to fielded systems.

Skills

MATLAB
Python
C++
AI/ML
Probabilistic algorithms
Numerical methods

Education

PhD in Math, Computer Science, Physics, Electrical Engineering or related field

Tools

MATLAB
Python
C++

Job description

The Johns Hopkins University Applied Physics Laboratory (APL) seeks innovative PhD graduates to join our defense research group. You will conduct systems analysis, identify gaps, and develop novel AI/ML concepts, data fusion, and distributed algorithms to advance U.S.

missile defense capabilities. You will work with engineers and scientists to implement modeling and simulation components, analyze results, and present insights to sponsors, with opportunities to transition prototypes to fielded

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