LVC M&S Analyst – Sensor & Communications Modeling

Parallax Advanced Research; Pittsburgh (Allegheny County); On-site; USD 90,000 - 130,000; Full time

Job summary

Parallax Advanced Research in Pittsburgh seeks a professional to apply Live, Virtual, and Constructive (LVC) Modeling and Simulation to address complex operational and mission-level challenges. The successful candidate will leverage expertise in LVC M&S, sensor and communications phenomenology, and high-fidelity engineering models to develop realistic representations of environments and systems.

Key aspects include applying LVC M&S to analyze scenarios, developing models for

Qualifications

• Experience applying LVC M&S to operational challenges.
• Ability to model sensor and communications phenomena.
• Experience integrating high-fidelity models into M&S environments.
• Collaborative, multidisciplinary teamwork.

Responsibilities

• Apply LVC M&S techniques to analyze complex operational challenges and mission scenarios.
• Develop models representing sensor and communications phenomenology within operational environments.
• Learn, adapt, and apply high-fidelity Modeling & Simulation capabilities to represent complex physical and system behaviors.
• Integrate high-fidelity engineering models into LVC M&S environments to improve realism and analytical utility.
• Develop and evaluate innovative approaches for representing sensors, communications systems, and other operational phenomena within simulations.
• Collaborate with multidisciplinary teams to translate operational requirements into rigorous modeling and simulation solutions.

Skills

LVC Modeling

Simulation Analysis

Sensor Phenomenology

High-fidelity Modeling

Job description

Parallax Advanced Research in Pittsburgh seeks a professional to apply Live, Virtual, and Constructive (LVC) Modeling and Simulation to address complex operational and mission-level challenges. The successful candidate will leverage expertise in LVC M&S, sensor and communications phenomenology, and high-fidelity engineering models to develop realistic representations of environments and systems.

Key aspects include applying LVC M&S to analyze scenarios, developing models for