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Johns Hopkins Applied Physics Laboratory

Not-for-profit UARC delivering national security research

Weapon System Analyst

Quantitative ResearchConfirmed live in the last 24 hours
Full-timeLaurel, MD, USAIn-person

About the Job

Requirements

  • Hold a bachelor's degree in Physics, Applied Math, Applied Statistics, Engineering, or a closely related field.
  • Have one or more years of professional experience in data analysis or physics-based modeling.
  • Have strong foundational skills in a scientific language such as C++, MATLAB, or Python.
  • Have a solid grasp of linear algebra, calculus, and basic probability/statistics.
  • Have a strong desire to learn complex physical systems and a willingness to dive deep into technical documentation.
  • Be able to acquire an Interim Secret level security clearance by the start date and ultimately acquire a final Top Secret level clearance.
  • Meet eligibility requirements for access to classified information, including U.S. citizenship.

Responsibilities

  • Develop and refine high-fidelity physics-based models of complex systems, including inertial navigation (accelerometers and gyroscopes) and missile/reentry dynamics.
  • Lead the experimental design process for flight and ground tests to optimize data collection for model validation and parameter estimation.
  • Perform statistical validation by using collected real-world data to estimate underlying physics-based errors and determine how well models predict actual system behavior.
  • Apply advanced statistical techniques to infer the physical properties or errors that caused observed effects from observed data.
  • Build robust computational tools in C++, MATLAB, or Python to facilitate analyses for important reports and deliverables.
  • Assess the accuracy of current strategic weapon systems and support the engineering of future systems to meet mission needs.

Desired Qualifications

  • Experience with statistical analysis, parameter estimation and inverse problems, Kalman filtering, experimental design, Bayesian inference (e.g., MCMC), or Maximum Likelihood Estimation.
  • Experience working in large collaborative environments requiring teams of engineers, physicists, statisticians, and applied mathematicians.
  • Prior experience with tactical or strategic missile systems, or prior experience with inertial navigation systems.
  • Hold an active Secret or higher-level clearance.

About the Company

Johns Hopkins Applied Physics Laboratory

Not-for-profit UARC delivering national security research

Johns Hopkins Applied Physics Laboratory (APL) is a not-for-profit university-affiliated research center that provides solutions to complex national security and scientific challenges through technical expertise, prototyping, research and development, and analysis. It uses engineering, simulations, and studies to design prototypes and deliver analyses that support government and partner organizations. Unlike many commercial firms, APL operates as a non-profit affiliated with Johns Hopkins and focuses on mission-oriented research rather than selling finished products. Its goal is to provide practical, thoroughly tested solutions to public-sector customers by performing research, developing prototypes, and offering expert analysis.

Company size
5,001-10,000
Company stage
Not listed
Total funding
Not listed
Headquarters
United States
Founded
1942

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