Systems Modeling & Performance Engineer — Defense Analytics

The Johns Hopkins University Applied Physics Laboratory; Laurel (MD); On-site; USD 100,000 - 245,000; Full time

Job summary

The Johns Hopkins University Applied Physics Laboratory seeks a Systems Engineer (Systems Modeling & Performance Analyst) to validate system-of-systems behavior through rigorous quantitative analysis. The role focuses on leveraging physics-based and statistical models within a digital engineering framework to assess design margins and reduce empirical testing.

Qualifications include a BS in Physics/Applied Mathematics or engineering, 2+ years of data analysis experience, and MBSE tool

Qualifications

• BS in Physics, Applied Mathematics, or engineering with modeling/experimental data focus.
• 2+ years of quantitative data analysis, physics-based simulations, or test data reduction.
• Working knowledge of MBSE concepts and Cameo/MagicDraw tools.

Responsibilities

• Interpret and integrate physics-based and statistical models within a digital engineering framework to analyze complex system behaviors and design margins.
• Analyze designs and experimental/test data to identify design risks, performance gaps, and uncertainty.
• Perform trade studies and sensitivity analyses to evaluate environmental variations and component degradation on mission success.
• Interface with digital engineering environments to map mathematical proofs and verification criteria to system architecture.

Skills

Physics/Math background

Data analysis

Statistical evaluation

SysML/Cameo knowledge

Education

BS in Physics/Applied Mathematics/Engineering

Tools

Cameo Enterprise Architect

MagicDraw

Job description

The Johns Hopkins University Applied Physics Laboratory seeks a Systems Engineer (Systems Modeling & Performance Analyst) to validate system-of-systems behavior through rigorous quantitative analysis. The role focuses on leveraging physics-based and statistical models within a digital engineering framework to assess design margins and reduce empirical testing.

Qualifications include a BS in Physics/Applied Mathematics or engineering, 2+ years of data analysis experience, and MBSE tool