Graduate - Accuracy Analyst - System Modeling, Evaluation, and Planning Group

Description

Do you want to contribute to the development of complex systems that are critical for strategic deterrence and defense?

Are you looking for a role where you can be mentored by world-class experts and grow into a specialist in physics-based modeling and statistical inference?

Are you interested in defining methodologies and processes that will be used for the testing and evaluation of current and future weapon systems?

If you are graduating with a Bachelor’s or Master’s degree in Physics, Statistics, Math, or Engineering, we want to hear from you.

The System Modeling, Evaluation, and Planning Group within the Force Projection Sector of the John Hopkins Applied Physics Laboratory is seeking an entry-level analyst to support the technical evaluation of the nation’s primary strategic deterrents. You will join a multidisciplinary team of engineers, physicists, and mathematicians who are passionate about their role as independent evaluator. We strive to foster an environment of innovation and learning to develop the critical technologies and experts of the future

• Model Support:
  Help maintain and refine high-fidelity physics models of complex systems (such as inertial navigation or vehicle dynamics).
• Data Analysis:
  Process real-world data from flight and ground tests to help identify discrepancies between models and reality.
• Experimental Support:
  Contribute to the design of experiments by helping determine what data need to be collected to validate physics hypotheses.
• Architecture Development:
  Develop accuracy requirements, execute architectural trades, and evaluate progress during system development.
• Tool Development:
  Contribute to, build and automate data analysis software in C++, MATLAB, or Python to make the team’s analysis more efficient.
• Technical Communication:
  Help document findings and contribute to technical reports that assess system accuracy.

You meet our minimum qualifications for the job if you have the following…

• Possess a Bachelor’s degree in Physics, Applied Math, Applied Statistics, Engineering, or a closely related field.
• Have strong foundational skills in a scientific language (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.
• Are able to acquire an Interim Secret level security clearance by your start date and can ultimately acquire a final Top 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.

• Possess a Master’s degree in Physics, Applied Math, Applied Statistics, Engineering, or a closely related field.
• Experience as an undergraduate researcher or a Master's thesis involving data analysis, physical modeling, or requirements and architecture development.
• Coursework in maximum likelihood estimation or Bayesian statistics, uncertainty propagation, numerical methods, or systems engineering.
• A project or portfolio of projects where you applied physics or math to solve a real-world problem.
• Experience working on team-based projects (e.g., collaborative Git Hub repositories, robotics teams, physics competitions, or collaborative lab work).
• An active Secret or higher-level clearance.

The Johns Hopkins University Applied Physics Laboratory (APL) brings world‑class expertise to our nation’s most critical defense, security, space and science challenges. While we are dedicated to solving complex challenges…