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Computational Modeling Simulation Phd Jobs (NOW HIRING)

Amazon

Modeling & Simulation Eng, Amazon Leo

Redmond, WA · On-site

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... computational efficiency, and operational impact. Export Control Requirement: Due to applicable ... Key job responsibilities This is a modeling and simulation engineering position where you will ...

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Computational Modeling Simulation Phd information

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How much do computational modeling simulation phd jobs pay per year?

As of Aug 17, 2026, the average yearly pay for computational modeling simulation phd in the United States is $101,255.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,500.00 and $129,500.00 per year, depending on experience, location, and employer.

What is the difference between Computational Modeling Simulation Phd vs Computational Scientist?

AspectComputational Modeling Simulation PhdComputational Scientist
Required CredentialsPhD in computational sciences, engineering, or related fieldMaster's or PhD in computational or related fields
Work EnvironmentResearch labs, academia, industry R&DResearch institutions, tech companies, industry R&D
Industry UsageDeveloping models, simulations, and algorithms for complex systemsApplying computational methods to solve scientific or engineering problems

Both roles involve advanced computational skills and research experience, but the Computational Modeling Simulation Phd typically focuses on developing and validating models through extensive research, while a Computational Scientist applies these methods to practical problems across various industries.

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Computational Modeling Simulation Phd jobs near you
Infographic showing various Computational Modeling Simulation Phd job openings in the United States as of August 2026, with employment types broken down into 86% Full Time, 11% Part Time, and 3% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $101,255 per year, or $48.7 per hour.

Principal Modeling & Simulation Engineer

Camgian Corporation

Huntsville, AL • On-site

Full-time

Re-posted 17 days ago

Job description

We are seeking a skilled engineer to lead the modeling and simulation efforts for Camgian. The modeling and simulation lead will play a critical role in not only in the test and evaluation of Camgian's diverse product set but also integrating model driven engineering into the full development lifecycle to reduce risk and increase development velocity. They will be responsible for directly developing and validating models at various levels of complexity as well as advising and overseeing their development within other functional areas. This position will involve coordination with a diverse set of stakeholders and will require excellent written and verbal communication skills.
Qualifications
  • Bachelor's degree in engineering, math, or related technical field with at least 15+ years of applicable experience.
  • Strong foundation in mathematics
  • Parametric modeling
  • Experience with defense simulation systems
  • Experience with AI/ML model training and integration for simulating behaviors
  • Experience with user/human factor models
  • Experience in combat system modeling
  • Experience modeling distributed multi agent systems
  • Strong ability to mitigate technical risks
  • Proficiency with multiple languages and modeling frameworks including C++ and Python
  • United States Citizenship

Desired Skills
  • Experience with Model Based Engineering tools (Enterprise Architect, Cameo, etc.)
  • Experience with graphical modeling languages like UML, SysML, and defense frameworks
  • Experience with simulation standards like DIS and HLA
  • Experience with discrete event models
  • Domain experience in combat systems and sensor fusion
  • Experience with AFSIM
  • Domain experience in AI/ML, data science, and prognostics
  • Master's or PhD in related field

Key Responsibilities
  • Define simulation needs across the board from ML model training through mission effectiveness
  • The creation of models across several levels of abstraction
  • Perform operational and mission effectiveness analysis
  • Scenario definition
  • Verification and validation of existing models
  • Simulation result analysis
  • Assist in risk management and identify approaches for technical risk burndown

Apply