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Computational Modeling Simulation Multiphysics Jobs in West Springfield, MA

Corvid-Technologies-LL

Test Engineer

Bloomfield, CT · On-site

... computational modeling and simulation to analyze, design, and manufacture products for aerospace, DoD, and commercial customers. We offer a fast‑paced and flexible work environment that encourages ...

All JobsComputational Modeling Simulation Multiphysics JobsComputational Modeling Simulation Multiphysics Jobs in West Springfield, MA

Computational Modeling Simulation Multiphysics information

See West Springfield, MA salary details

$38.9K

$100.9K

$143.5K

How much do computational modeling simulation multiphysics jobs pay per year?

As of Sep 10, 2026, the average yearly pay for computational modeling simulation multiphysics in West Springfield, MA is $100,898.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,200.00 and $129,000.00 per year, depending on experience, location, and employer.

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 cities near West Springfield, MA are hiring for Computational Modeling Simulation Multiphysics jobs?

Cities near West Springfield, MA with the most Computational Modeling Simulation Multiphysics job openings:

Computational Modeling Simulation Multiphysics jobs near you

Postdoctoral Positions in Computational Biophysics/Machine Learning

Amherst, MA • On-site

CHARMM-GUI
See more jobs at CHARMM-GUIexternal

Other

Posted 9 days ago

Job description

CHARMM is a versatile program for atomic-level simulation of many-particle systems, particularly macromolecules of biological interest. - M. Karplus

Postdoctoral Positions in Computational Biophysics/Machine Learning

Date

2027-02-01

Location

University Massachusetts, Amherst

Description

At least one postdoctoral Research Associate position in the general area of Computational Biophysics is available in the University of Massachusetts Amherst Institute of Applied Life Sciences (IALS), a fast-growing enterprise dedicated to developing the next generation of life science products and technologies to improve human health. The candidate will be able to work on a range of areas including:

  • Computational method development, particulary coarse grained modeling of biomolecules
  • Intrinsically disordered proteins (e.g., structure, interaction, phase transition, drug)
  • RNA and DNA structure dynamics and phase transitions
  • Physics-inspired machine-learning methods (e.g., mutational effect prediction, generative modeling of protein dynamics, design of artificial protein-binding polymers)
  • Structure and function of complex biomacromolecules such as ion channels

For more information on our current research interests and topics, please refer to our group website: http://people.chem.umass.edu/jchenlab.

The candidate should have a Ph.D. in chemistry, physics, or a related field, withe extensive experience and strong publication record in computational biophysics (including machine learning). Successful applicants should also have strong background in scientific computing and statistical mechanics, and display excellent general understanding of biophysics, biomolecular modeling and machine learning. An ideal candidate would also display a strong passion for science, and the ability and desire to work both independently and as part of a team. We work closely with experimental collaborators in many projects and thus good communication skills will be a strong plus.

Initial appointments will be for one year with the possibility of renewal for at least three years. The salary will be competitive and follow NIH and UMass guidelines.

UMass Amherst is the Commonwealth's flagship campus and a top-30 public research university. It is located in Amherst, Massachusetts, sits on nearly 1,450-acres in the scenic Pioneer Valley (AKA: Happy Valley) of Western Massachusetts, 90 miles from Boston and 175 miles from New York City. The campus provides a rich cultural environment in a rural setting close to major urban centers.

University of Massachusetts is an EOE of individuals with disabilities and protected veterans. Background check required.

University of Massachusetts actively seeks diversity among its employees.

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