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Computational Modeling Simulation Multiphysics Jobs in Illinois

Calamos Investments

Quantitative Analyst

Naperville, IL · On-site

$110K/yr

Back test models and support risk management and product development efforts, specifically, work in ... Job Requirements Position requires a Master's degree in Quantitative & Computational Finance ...

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Computational Modeling Simulation Multiphysics information

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 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.

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 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.

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Computational Modeling Simulation Multiphysics jobs near you

C++/Unix Trading systems dev

ITech Recruiting

Chicago, IL • On-site

Full-time

Posted 8 days ago

Job description


General Job Responsibilities:
The candidate will sit with on the desk with the traders and working closely with the business to optimize C++, Perl, and SQL code for the firms front and back office Systems. They will work on the support and development of Systems which applies theoretical, numerical, and simulation models for execution trading. They will play a critical role in the implementing and support of high volume order generation based on these optimizations.
Required skills:
The ideal candidate will have 3-5 years experience in front office (sell-side prop desk or tech savvy buy-side) supporting trading systems.
Minimum of 3-5 years using developing and supporting C++, Perl, SQL, and Sybase in a combination of NT/Unix environment.
Exposure to Linux is a plus.
Excellent verbal and written communication skills, and the ability to excel working in a high paced environment are a must.
Exposure to SAS and Matlab is a plus.
The candidate should have a Bachelors Degree in Computer Science, Electrical Engineering, Physics, Computational Finance or a similar discipline. An advanced degree in a similar field would be a plus.