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Computational Modeling Simulation Multiphysics Jobs in Annandale, VA

Senior Physicist

Reston, VA · On-site

$154 - $278/hr

Design, refine, and validate physics-based computational models and simulations to identify critical structural weaknesses and viable exploitation vectors. * Research, design, and evaluate innovative ...

New

Design, refine, and validate physics-based computational models and simulations to identify critical structural weaknesses and viable exploitation vectors. * Research, design, and evaluate innovative ...

Design, refine, and validate physics-based computational models and simulations to identify critical structural weaknesses and viable exploitation vectors. * Research, design, and evaluate innovative ...

SIERRA Modeling and Simulation (M&S) Subject Matter Expert (SME) Location: Reston, VA Clearance ... The ideal candidate will have a strong academic background in computational fluid dynamics (CFD ...

Working along experts in AI, Machine Learning, computational modeling, and distributed systems, you ... You have 3+ years professional experience (or an advanced degree) in model and simulation ...

Working along experts in AI, Machine Learning, computational modeling, and distributed systems, you ... You have 3+ years professional experience (or an advanced degree) in model and simulation ...

Working along experts in AI, Machine Learning, computational modeling, and distributed systems, you ... You have 3+ years professional experience (or an advanced degree) in model and simulation ...

Showing results 41-60

Computational Modeling Simulation Multiphysics information

See Annandale, VA salary details

$38.8K

$100.7K

$143.2K

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

As of Aug 22, 2026, the average yearly pay for computational modeling simulation multiphysics in Annandale, VA is $100,713.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,100.00 and $128,800.00 per year, depending on experience, location, and employer.

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 common challenges faced by professionals in computational modeling simulation multiphysics, 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.

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 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 cities near Annandale, VA are hiring for Computational Modeling Simulation Multiphysics jobs?

Cities near Annandale, VA with the most Computational Modeling Simulation Multiphysics job openings:

Principal Applied Scientist - TS/SCI with Security Clearance

Vantor

Herndon, VA • On-site

Other

Retirement

Posted 7 days ago


Job description

Vantor is forging the new frontier of spatial intelligence, helping decision makers and operators navigate what's happening now and shape what's coming next. Vantor is a place for problem solvers, changemakers, and go-getters-where people are working together to help our customers see the world differently, and in doing so, be seen differently. Come be part of a mission, not just a job, where you can: Shape your own future, build the next big thing, and change the world. To be eligible for this position, you must be a U.S. Citizen. This position requires an active U.S. Government security clearance, applicants who do not currently hold the required clearance will not be eligible for consideration. Employment for cleared roles is contingent upon verification of clearance status. Export Control/ITAR: Certain roles may be subject to U.S. export control laws, requiring U.S. person status as defined by 8 U.S.C. 1324b(a)(3). Please review the job details below. This position requires an active U.S. Government Security Clearance at the TS/SCI level with CI polygraph. Project : The team will design, develop, validate, and demonstrate an integrated analytical capability supporting pattern recognition, anomaly detection, predictive analytics, agent-based modeling (ABM) or equivalent, and decision support in a Ubiquitous Technical Surveillance (UTS) environment. The effort will enhance Joint Force survivability by enhancing the characterization of the UTS threat and providing a mission-agnostic risk-management tool for commanders and operators to utilize across the spectrum of conflict. The enterprise will leverage this analysis and these tools to increase isolated personnel (IP) survivability by enhancing evasion training, planning, and execution, while bolstering force protection for PR task forces. The Principal Applied Scientist serves as the scientific authority for the development, validation, and application of advanced analytical and simulation models supporting characterization of the Ubiquitous Technical Surveillance (UTS) environment. This individual combines expertise in computational modeling, applied mathematics, physics, and data science to ensure that machine learning models, agent-based simulations, and analytical frameworks accurately represent real-world phenomena and produce scientifically defensible, operationally relevant results. Working closely with data scientists, machine learning engineers, software developers, and operational subject matter experts, the Principal Applied Scientist is responsible for developing high-fidelity models, validating scientific assumptions, assessing uncertainty, and ensuring that analytical outputs accurately characterize UTS risks and mitigation strategies. This role is instrumental in delivering a transition-ready capability that enables commanders and operators to evaluate operational risk and improve mission survivability. Responsibilities: * Serve as the scientific lead for computational modeling and simulation activities across the program.
* Establish scientifically rigorous methodologies for representing UTS phenomena within analytical and simulation environments.
* Ensure analytical approaches accurately reflect the underlying physical, operational, and statistical characteristics of the data.
* Design, develop, and validate complex agent-based models representing UTS interactions and operational environments.
* Develop agent behaviors, environmental conditions, interaction rules, and emergent system dynamics
* Evaluate simulation outputs for realism, repeatability, and operational relevance.
* Evaluate government-provided datasets to identify meaningful physical, temporal, behavioral, and operational relationships.
* Develop scientifically valid approaches for feature engineering and diagnostic vector identification.
* Collaborate with data scientists to ensure machine learning models leverage meaningful scientific features rather than spurious correlations.
* Assess the quality, completeness, and limitations of available data.
* Apply statistical, probabilistic, and computational methods to characterize uncertainty and system behavior. Minimum Qualifications: * US Citizen and must have an active TS/SCI clearance, with ability to obtain CI Poly. * 12+ years of relevant experience.
* Master's or PhD in physics, mathematics, statistics, operations research, engineering, science, or related discipline.
* Strong technical leadership experience.
* Extensive demonstrated knowledge and experience utilizing the following modeling techniques: process, predictive, physics-based, agent-based.
* Significant current experience (i.e., within last 2 years) in modeling, using statistics to conduct predictive modeling and make estimates on future occurrences based on prior events, and using physics-based modeling to review sensor capabilities and predict sensor ability to perform tasks in a synthetic scenario
* Experience working with diverse data sets from UTS relevant sources
* Proficiency in Python and scientific computing libraries.
* Experience AI/ML programs. * Ability to clearly communicate technical concepts and analytical results in writing and verbally. * Must be able to work on-site in Herndon, Va. Preferred Qualifications: * Experience with agent-based modeling.
* Experience supporting operational environments and/or Government R&D projects.
* published modeling reports and/or authored new procedures/methods to create innovative modeling approaches to solve complex issues
* Experience modeling human behavior, adversarial systems, or complex adaptive systems.
* Experience with reinforcement learning, Bayesian inference, Monte Carlo methods, or stochastic simulation.
* Familiarity with explainable AI (XAI) and integrating scientific principles into machine learning workflows.
* Experience developing digital twins or high-fidelity operational simulations.
* Experience supporting personnel recovery, force protection, intelligence analysis, or mission planning. Pay Transparency: To support pay transparency, Vantor includes salary ranges in all U.S. job postings. Starting pay for this role will fall within the listed range and will be based on factors such as experience, qualifications, skills, location, and market conditions. Candidates who meet the minimum requirements for the role should not expect to receive compensation at the top of the range. The listed range reflects the expected pay for this position, and final offers will be determined based on each candidate's experience, expertise, and alignment with the role. • The base pay for this position within the Washington, DC metropolitan area is: $140,000.00 - $187,000.00 - $205,700.00 annually. For all other states, we use geographic cost of labor as an input to develop market-driven ranges for our roles, and as such, each location where we hire may have a different range. Benefits: Vantor offers a competitive total rewards package that goes beyond the standard, including a robust 401(k) with company match, mental health resources, and unique perks like student loan repayment assistance, adoption reimbursement and pet insurance to support all aspects of your life. You can find more information on our benefits at: https://www.Vantor.com/careers The application window is three days from the date the job is posted and will remain posted until a qualified candidate has been identified for hire. If the job is reposted regardless of reason, it will remain posted three days from the date the job is reposted and will remain reposted until a qualified candidate has been identified for hire. The date of posting can be found on Vantor's Career page at the top of each job posting. To apply, submit your application via Vantor's Career page. EEO Policy: Vantor is an equal opportunity employer committed to an inclusive workplace. We believe in fostering an environment where all team members feel respected, valued, and encouraged to share their ideas. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender identity, sexual orientation, disability, protected veteran status, age, or any other characteristic protected by law.