LVC M&S Analyst – Sensor & Communications Modeling

Parallax Advanced Research

Pittsburgh (Allegheny County)

On-site

USD 90,000 - 130,000

Full time

14 days+
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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

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