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Computational Modeling Simulation Multiphysics Jobs in Illinois

Computer Scientist/AI

Lemont, IL · On-site +1

$94.49K - $147.40K/yr

... computational science community. We help researchers solve some of the world's largest and most ... allow AI models to interact with simulations, data, and job schedulers. These solutions will be ...

Computer Scientist/AI

Lemont, IL · On-site

$94.49K - $147.40K/yr

... computational science community. We help researchers solve some of the world's largest and most ... allow AI models to interact with simulations, data, and job schedulers. These solutions will be ...

Develops whole-building dynamic thermal and energy simulation models across diverse building types ... Familiarity with computational design and parametric modeling preferred * Familiarity with energy ...

Manages the whole-building dynamic thermal and energy building simulation models for various ... Familiarity with computational design and parametric modeling preferred * Familiarity with energy ...

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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.

What job categories do people searching Computational Modeling Simulation Multiphysics jobs in Illinois look for? The top searched job categories for Computational Modeling Simulation Multiphysics jobs in Illinois are:
What cities in Illinois are hiring for Computational Modeling Simulation Multiphysics jobs? Cities in Illinois with the most Computational Modeling Simulation Multiphysics job openings:
Postdoctoral Appointee-Developing an Exascale MuPhFASa (Multi Phase Flow Adaptive Simulator)

Postdoctoral Appointee-Developing an Exascale MuPhFASa (Multi Phase Flow Adaptive Simulator)

Argonne National Laboratory

Lemont, IL • On-site

$72.88K - $121.47K/yr

Full-time

Posted 11 days ago


Job description

The Argonne Leadership Computing Facility's (ALCF) mission is to accelerate major scientific discoveries and engineering breakthroughs for humanity by designing and providing world-leading computing facilities in partnership with the computational science community. We help researchers solve some of the world's largest and most complex problems with our unique combination of supercomputing resources and computational science expertise.
The Computational Science (CPS) Division focuses on solving the most challenging scientific problems through advanced modeling and simulation on the most capable computers. The division aims to build lab-wide cross-cutting simulation application capabilities integrating with mathematics, computer science, domain science, and advanced computing architectures and facilities. Additionally, the CPS provides an interdisciplinary home for spawning simulation programs and projects, often in collaboration with the ALCF.
The ALCF and CPS division are seeking a postdoctoral appointee to develop computational fluid dynamic (CFD) tools that make exascale computing accessible to a broader set of users. The successful candidate will develop a massively parallel solver, capable of running simulations on the Aurora supercomputer, using AMReX (https://amrex-codes.github.io/amrex/) and the lattice Boltzmann method (LBM). The candidate will develop flow/geometry-aware refinement strategies that go beyond traditional error estimators, creating physics-based adaptation algorithms that intelligently predict where refinement will be most beneficial for smarter, more efficient simulations. We seek someone with a strong CFD background and LBM expertise who can develop methodologies broad enough to tackle a diverse set of problems, appealing to a wide range of computational science users. Example problems are: bubbly flow, emulsions, sedimentation, wetting, gas-mixing, red-blood cell flow in the human vasculature. We are seeking a candidate who is intellectually curious and enthusiastic about computational research. They are intrinsically driven, goal-oriented, and can work collaboratively with others.
Working closely with the CPS divison, the postdoc will leverage AMReX and the LBM to develop an integrated framework to explore advanced workloads including simulations with in-situ visualization and, possibly, machine learning integration. This work will inform future ALCF platform procurement decisions.
Position Requirements
Required Skills:
  • Recent or soon-to-be-completed Ph.D. (typically completed in the last 5 years) in mechanical/aerospace/chemical engineering, applied mathematics or a related discipline.
  • Experience in numerical methods and CFD development using mesh-based scientific codes.
  • Expertise in the lattice Boltzmann method (LBM) as evidenced by their publications
  • High performance computing (HPC) experience in code development with parallel programming techniques using the message passing interface (MPI) library
  • Proficiency in writing code with C, C++ and/or Python
  • Ability to demonstrate strong written and oral communication skills
  • Ability to model Argonne's Core Values: Impact, Safety, Respect, Integrity, and Teamwork.

Desired Skills:
  • Experience with two-phase/multi-phase flows as evidenced by their publications
  • Experience programming GPUs with CUDA, SYCL, HIP or OpenMP
  • Experience using and developing code with AMReX
  • Experience in performance engineering to improve code scalability and reduce time-to-solution

Job Family
Postdoctoral
Job Profile
Postdoctoral Appointee
Worker Type
Long-Term (Fixed Term)
Time Type
Full time
The expected hiring range for this position is $72,879.00-$121,465.00.
Please note that the pay range information is a general guideline only. The pay offered to a selected candidate will be determined based on factors such as, but not limited to, the scope and responsibilities of the position, the qualifications of the selected candidate, business considerations, internal equity, and external market pay for comparable jobs. Additionally, comprehensive benefits are part of the total rewards package.
Click here to view Argonne employee benefits!
As an equal employment opportunity employer, and in accordance with our core values of impact, safety, respect, integrity and teamwork, Argonne National Laboratory is committed to a safe and welcoming workplace that fosters collaborative scientific discovery and innovation. Argonne encourages everyone to apply for employment. Argonne is committed to nondiscrimination and considers all qualified applicants for employment without regard to any characteristic protected by law.
Argonne employees, and certain guest researchers and contractors, are subject to particular restrictions related to participation in Foreign Government Sponsored or Affiliated Activities, as defined and detailed in United States Department of Energy Order 486.1A. You will be asked to disclose any such participation in the application phase for review by Argonne's Legal Department.
All Argonne offers of employment are contingent upon a background check that includes an assessment of criminal conviction history conducted on an individualized and case-by-case basis. Please be advised that Argonne positions require upon hire (or may require in the future) for the individual be to obtain a government access authorization that involves additional background check requirements. Failure to obtain or maintain such government access authorization could result in the withdrawal of a job offer or future termination of employment.