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Computational Modeling Simulation Multiphysics Jobs in Illinois

GW Electric

$115K - $135K/yr

Develop and refine innovative physical models and computational methods for multiphysics / multiphase applications. * Design, fabrication and testing of prototypes to validate and improve simulations.

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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

Assistant Computational Chemist / Chemical Engineer - Catalysis

Argonne National Laboratory

Lemont, IL

$94K - $147K/yr

Full-time

Re-posted 7 days ago

Job description

The Chemical Sciences and Engineering Division at Argonne National Laboratory invites applications for a regular, full-time AssistantComputational Chemist / Chemical Engineerposition. The successful candidate will lead and contribute to computational research inelectrocatalysisandheterogeneous catalysis, working closely with experimental collaborators to advance fundamental understanding and catalyst design.

This role involves conductingmultiscale modeling,spectroscopy simulations, and the development ofmachine learning methodsandautomated workflowsformulti-fidelity, multiscale, and multiphysics simulations. The research will be closely integrated with corresponding experimental efforts.

Key Responsibilities

  • Perform computational studies in electrocatalysis and heterogeneous catalysis

  • Develop and apply multiscale modeling approaches to catalytic systems

  • Conduct spectroscopy simulations, including techniques such asXANES, EXAFS, and Mossbauer spectroscopy

  • Develop and implement machine learning methods and automated workflows for complex catalytic simulations

  • Collaborate closely with experimental researchers to interpret results and guide catalyst development

  • Contribute to proposal development and funding applications

  • Mentor postdoctoral researchers and graduate students

Position Requirements

  • Ph.D.inphysical chemistry, inorganic chemistry, computational materials science, chemical engineering, or a related field, along with3-6 years of postdoctoral research experience

  • Comprehensive understanding ofquantum mechanicsandcatalysis

  • Extensive experience inheterogeneous thermal catalysisandelectrocatalysis, including:

    • catalyst design

    • mechanistic studies

    • microkinetic modeling

    • reactor modeling

  • Strong computational expertise in applyingquantum mechanical methodsto determine electronic structure, catalytic properties, and reaction mechanisms

  • Demonstrated experience inspectroscopy simulations, includingXANES, EXAFS, and Mossbauer spectroscopy

  • Proficiency inPythonand relevant computational platforms

  • At least1-2 years of experienceadapting and implementingAI/ML methods in catalysis, including:

    • machine learning interatomic potentials

    • agentic workflows

  • Experience inproposal writingandfunding applications

  • Experience mentoringpostdoctoral researchersandgraduate students

  • Excellentwritten and oral communication skills

  • Ability to model Argonne's core values of impact, safety, respect, integrity, and teamwork

Preferred Qualifications

  • Experience withPGM-free oxygen reduction reaction (ORR) catalysts

  • Experience withCO reduction catalysis

RD2: Bachelors and 5+ years of experience, Masters and 3+ years, or PhD and 0+ years, or equivalent

Job Family

Research Development (RD)

Job Profile

Chemistry 2

Worker Type

Regular

Time Type

Full timeThe expected hiring range for this position is $94,486.00 - $147,398.94.

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.

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