ZipRecruiter

Log In

1

Computational Modeling Simulation Multiphysics Jobs in New Jersey

Via Logic LLC

Mechanical Engineer

Rockaway, NJ · On-site

Correlate simulation results with physical test data to validate and refine computational models. * Work closely with design and test engineers to provide actionable insights derived from simulation ...

Kenvue Inc.

Principal, R&D Digital Enablement

Summit, NJ · On-site

... models, simulations, machine-learning solutions, and other computational capabilities. * Translate product, consumer, healthcare professional, business, and market needs into well-defined scientific ...

Kenvue

Principal, R&D Digital Enablement

Summit, NJ · On-site

... models, simulations, machine-learning solutions, and other computational capabilities. * Translate product, consumer, healthcare professional, business, and market needs into well-defined scientific ...

Kenvue

Principal, R&D Digital Enablement

Summit, NJ

... models, simulations, machine-learning solutions, and other computational capabilities. * Translate product, consumer, healthcare professional, business, and market needs into well-defined scientific ...

Kenvue

Principal, R&D Digital Enablement

Chatham, NJ

... models, simulations, machine-learning solutions, and other computational capabilities. * Translate product, consumer, healthcare professional, business, and market needs into well-defined scientific ...

previous pagenext page

Showing results 21-40

All JobsComputational Modeling Simulation Multiphysics JobsComputational Modeling Simulation Multiphysics Jobs in New Jersey

Computational Modeling Simulation Multiphysics information

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 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:

Computational Modeling Simulation Multiphysics jobs near you
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 66% In-person, and 34% Remote job distribution.

Computational Plasma Physicist - Transport Modeling

Kearny, NJ • On-site

Thea Energy
Clean Energy Semiconductors Manufacturing • 11 - 50 employees
Learn more about Thea Energyexternal

$100K - $140K/yr

Full-time

Medical, Dental, Vision, PTO

Re-posted yesterday

Job description

About Thea Energy:  
Thea Energy is leveraging recent breakthroughs in stellarator physics and engineering to create a faster and simpler approach to commercializing fusion energy. The company is reinventing the stellarator using computer-controlled arrays of planar coils thereby replacing the intricate, complex modular magnets required in all other stellarator architectures. Thea Energy is on a mission to create a limitless source of zero emission energy for a sustainable future. 
 
Position Overview:
As a transport modeling physicist at Thea Energy, you will be an architect of our plasma performance projections. You will apply advanced kinetic and fluid models to characterize heat, particle, and momentum transport in highly-optimized stellarator geometries. Your objective is to transform fundamental physics into actionable constraints, guiding our equilibrium+coil optimization and operational scenarios to ensure the success of our next generation fusion devices.
Key Responsibilities:
  • Perform/analyze integrated modeling simulations to predict performance and develop scenarios for Thea Energy’s Eos and Helios stellarators.
  • Utilize gyrokinetic, fluid, and/or reduced transport solvers to provide projections of confinement, heat, particle, and momentum transport.
  • Maintain and extend existing gyrokinetic and transport frameworks
  • Build reproducible simulation pipelines and data analysis tools to streamline the design-to-validation loop.
  • Use insights from turbulence and transport analysis to guide equilibrium and coil optimization.
  • Collaborate with the physics and engineering team to develop scenarios and interpret results from current hardware.
Required Experience & Skillsets:
  • PhD in Plasma Physics, Computational Physics, Applied Mathematics, or a related field. (Candidates with a Master’s degree and 3+ years of direct experience in transport/turbulence modeling will be considered).
  • Strong understanding of gyrokinetic theory and transport processes
  • Expertise in developing scientific simulation codes using Python, C++, or Fortran.
  • Proven experience working in Linux-based HPC environments with a focus on code scalability and performance.

Preferred Skills:

  • Direct experience running core (e.g. GENE, stella, CGYRO, GX) and/or edge (GENE-X, XGC, Gkeyll) gyrokinetic codes.
  • Experience with stellarator-specific equilibrium and stability codes such as VMEC, STELLOPT, DESC, and/or TERPSICHORE.
  • Familiarity with advanced numerical methods, GPU programming, and/or developing surrogate/reduced models.
  • A track record of peer-reviewed publications and the ability to present complex physics to multi-disciplinary engineering teams.

Personal Attributes:

  • Ability to manage complex projects from theory to implementation with minimal supervision.
  • A passion for fusion energy and a desire to work in a fast-paced, collaborative startup environment.
  • Rigorous approach to code verification and physics validation.
Company Benefits:
  • Salary range $100,000 - $140,000
  • Comprehensive health benefits (e.g. medical/dental/vision)
  • Employee equity stock options
  • 20 days PTO
It’s not necessary to meet all of the skillsets outlined above. Please feel free to send us a note and tell us why you would still be a great fit for this role or Thea Energy.  
  
Diversity and Inclusion:  
Thea Energy is an equal opportunity employer committed to creating a company of diverse backgrounds. By creating a diverse environment, we will bring new ideas and approaches to solving some of the world’s hardest (and most important) problems. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, sexual orientation, gender identity or expression, national origin, family or marital status, age, disability, veteran’s status, or other characteristic protected by applicable laws and regulations.  
 

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Thea Energy logo

About Thea Energy

Sourced by ZipRecruiter

Industry

Clean energy semiconductors manufacturing

Company size

11 - 50 Employees

Headquarters location

Princeton, NJ, US

Year founded

2022

View All Thea Energy Jobs