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Computational Modeling Simulation Multiphysics Jobs in Virginia

Improbable LLC

Applied Scientist

Arlington, VA · On-site

Demonstrated experience with agent-based modeling, micro-simulation, computational social science, or modeling socio-technical systems. * Experience using game engines such as Unity and Unreal.

Improbable LLC

Applied Scientist

Arlington, VA

Demonstrated experience with agent-based modeling, micro-simulation, computational social science, or modeling socio-technical systems. * Experience using game engines such as Unity and Unreal.

Improbable LLC

Applied Scientist

Arlington, VA · On-site

Demonstrated experience with agent-based modeling, micro-simulation, computational social science, or modeling socio-technical systems. * Experience using game engines such as Unity and Unreal.

Leidos

Senior Nuclear Engineer

Reston, VA · On-site

$102K - $122K/yr

... multiphysics modeling and simulation tools to evaluate structural, thermal, and electronic degradation of nuclear-related facilities and processes exposed to weapons effects. * Perform computational ...

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Computational Modeling Simulation Multiphysics information

What is the difference between Computational Modeling Simulation Multiphysics vs Computational Engineer?

AspectComputational Modeling Simulation MultiphysicsComputational Engineer
CredentialsTypically requires degrees in engineering, physics, or related fields; certifications in simulation software are commonSimilar educational background; often holds engineering degrees and software certifications
Work EnvironmentPrimarily in R&D labs, engineering firms, or manufacturing settings focusing on complex simulationsInvolved in product development, software development, or systems design in various industries
Industry UsageUsed in aerospace, automotive, energy, and manufacturing for advanced simulationsApplied across industries for designing, analyzing, and optimizing systems and products

While both roles involve computational skills and engineering principles, Computational Modeling Simulation Multiphysics specializes in complex, multi-physics simulations, whereas Computational Engineer focuses on designing and implementing computational solutions across various engineering projects.

What are the key skills and qualifications needed to thrive as a Computational Modeling Simulation Multiphysics Engineer, and why are they important?

A strong background in physics, engineering, mathematics, and computational science—typically with an advanced degree—is essential for a Computational Modeling Simulation Multiphysics Engineer. Proficiency in simulation software such as ANSYS, COMSOL Multiphysics, MATLAB, and programming languages like Python or C++ is commonly required, along with familiarity with high-performance computing environments. Analytical thinking, problem-solving skills, and effective communication set standout professionals apart in this field. These capabilities enable accurate modeling of complex physical phenomena, efficient collaboration, and successful project outcomes in research and industry settings.

What is computational modeling simulation multiphysics?

Computational modeling simulation multiphysics refers to the use of computer-based models to simulate and analyze systems that involve multiple interacting physical phenomena—such as fluid dynamics, heat transfer, electromagnetics, and structural mechanics—all at once. This approach allows researchers and engineers to predict complex real-world behavior, optimize designs, and reduce the need for expensive prototypes. Multiphysics simulations are widely used in industries like aerospace, automotive, energy, and biomedical engineering, where accurate modeling of coupled physical processes is critical.

What are some common challenges faced by professionals in Computational Modeling Simulation Multiphysics roles, and how can they be addressed?

One of the main challenges in Computational Modeling Simulation Multiphysics roles is managing the complexity of integrating multiple physical phenomena, such as thermal, structural, and fluid dynamics, into a single simulation. This often requires a deep understanding of both the underlying physics and the numerical methods used by simulation software. Collaborating closely with domain experts and maintaining clear communication within multidisciplinary teams can help address these challenges. Additionally, staying updated with advances in simulation tools and best practices through continuous learning is key to overcoming technical hurdles and ensuring accurate results.
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Computational Modeling Simulation Multiphysics jobs near you
Computational Modeling Data Analyst

Computational Modeling Data Analyst

Innovative Reasoning

Quantico, VA • On-site

Full-time

Posted 12 days ago

Job description

Provide on-site Computational Modeling Data Analysis, and subject matter expertise in support to Maritime Expeditionary Warfare, Headquarters Marine Corps, Deputy Commandant for Combat Development & Integration, Marine Corps Combat Development Command, located at Quantico, VA.
Responsibilities/Duties:
  • Reporting and Dashboards:
    • Identify and extract essential information from web instances or Excel files.
    • Once identified, data must be shown effectively/efficiently through presentations, working papers, and various dashboard technologies to inform leaders.
  • Simulation modeling and analysis:
    • Apply quantitative data science techniques (statistics, mathematics, computer science, and physics) to analyze naval capability portfolio performance, cost and optimization, multi-objective decision-making, sensitivity analysis.
  • Risk Analysis:
    • Apply Qualitative, quantitative and decision risk analysis techniques for risk identification/evaluation, risk handling, risk monitoring and risk management.
    • Conduct Quantitative Risk Analysis including:
      • Probabilistic Risk Assessment of platform performance, cost, and schedule.
      • Decision Risk Analysis includes applying risk and cost benefit techniques in decision making associated with significant risk or uncertainty.
    • Probability and statistical analysis:
      • Provide analytic process models, including various probability distributions (normal, binomial, Poisson, exponential, lognormal), probabilistic measures of system performance, data summaries (graphical and numerical), confidence intervals, hypothesis tests, regression analysis (single and multiple predictors), single-factor analysis of variance, and basic time-series analysis.

Supplemental Duties:
  • Provide essential actions required to develop relational databases and management systems using Microsoft Excel, Access, or other Department of Defense-approved database tools.
    • Includes extracting information from multiple and diverse large data sets, as well as storing, retrieving, managing, and controlling data.

Supervisory Responsibilities:
  • None

Education:
REQUIRED
  • Bachelor of Science (BS) in Data Science/Analytics, Mathematics, Statistics, or Engineering.

PREFERRED
  • BS in Computational Modeling & Data Analytics.

Skills/Qualifications and Certifications:
  • Must be comfortable presenting work to audience; must have ability to present and engage in a technical presentation to a non-technical audience.

Experience:
  • Experience in RStudio (preferred), or Python.
  • Experience in building dashboards: Power BI, R Shiny, Tableau, etc.

Location: The primary workplace will be the Marine Corps Combat Development Command, General Raymond G. Davis Center (Bldg. 3300), 3300 Russell Rd, Quantico, VA 22134.
Work Environment:
  • On-site Office Environment, amongst mixed military/civilian/contractor personnel.
  • Employees will be exposed to a wide variety of people with differing functions, personalities, and abilities.
  • Remote work may be authorized, in coordination with client.

Physical Demands:
  • Work is generally sedentary; there could be a requirement to assist in moving and repositioning computer systems, servers, and other office equipment weighing no more than 50 pounds per person (e.g., two-man lift 100 lbs.).
  • Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Work Schedule: Full Time/40 hours per week. Mon-Fri/8 hours a day. Normal working hours are 8:00 AM - 4:00 PM (0800 - 1600).
License and Other Requirements:
  • Hold a valid US Driver's License, with ability to operate private, and commercial owned motor vehicles (Rental), as required for commuting and travel.
  • Must be able to obtain a contractor's common access card, which will stand as identification for instructors and will enable them to access government owned computer equipment and Non-secure Internet Protocol.

Salary and Benefits: As stated during the interview/hiring process.
Security Clearance: Possess or be eligible to posses an active U.S. Secret level security clearance. As required, obtain a Secure Internet Protocol (SIPR) access token for access to government SIPR computers terminals.
Travel: Travel to other government and/or contractor facilities, and/or ships may be required. Travel may be required on weekends and could include CONUS and OCONUS locations. The exact dates and duration of travel will vary dependent upon location and requirements of individual events to include planning, attendance at meetings, conferences, and/or wargames.
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

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