1

Computational Modeling Simulation Multiphysics Jobs in New Jersey

AI Overview A Calculation Engineer, also known as a Simulation Engineer, uses computational methods ... May use computer-aided design (CAD) and computer-aided engineering (CAE) software for modeling and ...

Data Analytics & Computational Sciences Job Sub Function: Data Science Job Category: Scientific ... Simulation & Modeling: * Simulate different scenarios based on variability in supply and demand.

... computational technologies. Duties and Responsibilities - Develop and apply theoretical models of quantum photonic devices and systems relevant to entropy quantum computing. - Perform simulations of ...

$126K/yr

... computational technologies. Duties and Responsibilities - Develop and apply theoretical models of quantum photonic devices and systems relevant to entropy quantum computing. - Perform simulations of ...

next page

Showing results 1-20

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.
What are popular job titles related to Computational Modeling Simulation Multiphysics jobs in New Jersey? For Computational Modeling Simulation Multiphysics jobs in New Jersey, the most frequently searched job titles are:
What job categories do people searching Computational Modeling Simulation Multiphysics jobs in New Jersey look for? The top searched job categories for Computational Modeling Simulation Multiphysics jobs in New Jersey are:
What cities in New Jersey are hiring for Computational Modeling Simulation Multiphysics jobs? Cities in New Jersey with the most Computational Modeling Simulation Multiphysics job openings:
Infographic showing various Computational Modeling Simulation Multiphysics job openings in New Jersey as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.
Senior Thermodynamic and Corrosion Modeler

Senior Thermodynamic and Corrosion Modeler

OLI Systems, Inc.

Parsippany, NJ • On-site

Full-time

Re-posted 18 days ago


Job description

Senior Thermodynamic and Corrosion Modeler
Location: Parsippany, NJ

Join Our Innovative Team: At OLI, we're transforming the future of chemistry and materials modeling. Our mission goes beyond developing software, we're redefining how chemical process simulations are created and executed. We're seeking a Specialist in Thermodynamic, Electrochemical, and Corrosion Modeling/Simulation. As a member of our Research and Database team, you will tackle real-world industrial challenges, develop and validate first-principles models with precision, and make a lasting impact across a wide range of global industries.
About OLI: Leaders in Chemistry Solutions, OLI stands as a beacon in the software development landscape, mastering complex chemical phenomena. Our advanced process modeling solutions have redefined problem-solving in over 35 countries, influencing how over 500 enterprises and academic institutions maximize asset lifecycle. At OLI, our commitment to innovation and sustainability drives every endeavor, making us more than just participants in industrial digital transformation; we are its leaders. Our investments in pioneering technologies such as real-time electrolyte chemistry/corrosion insights, automated systems, and cloud-based analytics are crafting new benchmarks in the industry.
Your Role: Innovator in Model Development
You will work on advancing our state-of-the-art thermodynamic and corrosion simulation framework. Our models are used to simulate electrochemical and corrosion phenomena in various industrial verticals all the way from the design stage to asset integrity and predictive maintenance. Passion to innovate and drive research in new directions to increase accuracy, reliability, and predictive capability of our first-principles models are key. Model development, parameterization, and validation require deep scientific judgment, creativity, and integration of experimental data with mechanistic understanding.
Why You're Vital to Our Mission: As a key member of our team, you'll provide leadership in the development of our project portfolio, identifying opportunities for new research and model development. Your expertise will be essential in ensuring that our thermodynamic, electrochemical, and corrosion models meet the highest standards of accuracy and applicability, and in guiding collaborations with research partners to address critical industrial challenges.
Your key responsibilities will include:
  • Model Development: Develop, parameterize, and validate thermodynamic, electrochemical, and corrosion models using our next-generation simulation technology.
  • Project Leadership: Provide technical guidance and leadership for R&D portfolio projects, identifying opportunities and ensuring alignment with industry needs.
  • Customization: Tailor and optimize models for industrial systems to enhance their predictive capabilities in key sectors such as oil and gas, metals and mining, power generation, and water treatment.
  • Client Collaboration: Work closely with clients to ensure our modeling solutions meet their unique simulation needs and provide expert guidance on model application and interpretation.
  • Multidisciplinary Collaboration: Collaborate with a team of physical property researchers, process system engineers, and software developers to drive innovation and solve complex problems.
  • Research Partnership: Engage with universities and national laboratories on joint theoretical and experimental studies that tackle important societal issues, particularly in sustainability and asset integrity.
We're Looking For:
Educational Background:
  • PhD in Chemical Engineering, Physical Chemistry, Materials Science, Computational Electrochemistry, or a related field
  • Postdoctoral or industrial experience is preferred.
Professional Expertise:
  • Strong scientific modeling expertise with emphasis on coding and computational methods.
  • Background in corrosion phenomena, thermodynamic and transport modeling, reaction kinetics, and mechanistic model development.
  • Proven research expertise in analysis of experimental data and model parameterization.
  • Familiarity with conventional chemical processes across upstream and downstream oil & gas, chemical, or power generation sectors is a plus.
  • Proven research expertise in phase/chemical equilibrium calculations with thermodynamic models is preferred.
  • Experience in electrochemical or corrosion-related research and modeling is preferred.

Technical Skills:
  • Skilled in numerical methods and scientific programming (C++, Python, MATLAB, Fortran).
  • Expertise in regression analysis, data interpretation, model parameterization and optimization.
  • Experience working with process simulation platforms (e.g.: OLI, Aspen Plus, HYSYS, Pro-II) is preferred. Familiarity with AI/ML-enhanced modeling approaches (e.g., PINNs, hybrid models) is a plus.
We're Offering:
  • An opportunity to be a part of a groundbreaking team that is redefining industrial chemistry and corrosion modeling.
  • A collaborative and dynamic work environment where your contributions are valued and recognized.
  • Competitive compensation package
How to Apply:
Please submit your resume through JazzHR.
Equal Opportunity Employer
OLI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all.
Applicants will be evaluated through a structured, rubric-based interview process to ensure consistency and fairness. OLI supports equitable career progression. Advancement decisions are guided by consistent evaluation criteria and regular performance conversations.