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Internship Modeling Simulation Engineer information

What are the key skills and qualifications needed to thrive as an Internship Modeling Simulation Engineer, and why are they important?

To thrive as an Internship Modeling Simulation Engineer, you generally need a strong background in mathematics, physics, and engineering principles, along with progress toward a relevant STEM degree. Familiarity with simulation software such as MATLAB, Simulink, or ANSYS, and basic programming skills in languages like Python or C++, are typically required. Attention to detail, problem-solving abilities, and effective teamwork and communication skills make candidates stand out in this role. These competencies are crucial for accurately developing, analyzing, and interpreting simulation models, which directly impact project success and innovation.

What types of projects do Internship Modeling Simulation Engineers typically work on, and how are tasks assigned within the team?

As an Internship Modeling Simulation Engineer, you will often be involved in projects that require developing, testing, and analyzing computational models for systems such as mechanical components, electronic circuits, or fluid dynamics. Tasks are usually assigned based on your academic background and the team's current priorities, allowing you to collaborate closely with senior engineers and other interns. You'll likely assist with running simulations, validating models against real-world data, and presenting findings to the team, providing a hands-on experience in both technical and collaborative work environments.

What is the difference between Internship Modeling Simulation Engineer vs Modeling Simulation Engineer?

AspectInternship Modeling Simulation EngineerModeling Simulation Engineer
CredentialsEnrolled in or recent graduate of relevant degree programsBachelor's or higher in engineering, physics, or related fields
Work EnvironmentInternship programs, entry-level projects, training-focusedFull-time professional roles, project-driven
Employer & Industry UsageInternship positions in aerospace, automotive, defense, etc.Established roles in similar industries
Search & Comparison IntentLearning about entry-level opportunities and trainingUnderstanding professional career paths and responsibilities

The main difference between an Internship Modeling Simulation Engineer and a Modeling Simulation Engineer is experience level and employment status. Internships are typically temporary, training-focused positions for students or recent graduates, while Modeling Simulation Engineers are full-time professionals responsible for developing and analyzing models in their industry. Interns gain foundational skills, whereas full engineers handle complex projects independently.

What does an Internship Modeling Simulation Engineer do?

An Internship Modeling Simulation Engineer assists in developing and analyzing computer models and simulations to predict how systems or products will perform in real-world scenarios. They work under the guidance of senior engineers, helping to design experiments, collect data, and validate simulation results. Typical tasks include using specialized software, troubleshooting issues, and presenting findings to the engineering team. This role provides hands-on experience with industry tools and techniques, making it ideal for students or recent graduates interested in engineering and simulation technologies.
What are the most commonly searched types of Modeling Simulation Engineer jobs in New York? The most popular types of Modeling Simulation Engineer jobs in New York are:
What are popular job titles related to Internship Modeling Simulation Engineer jobs in New York? For Internship Modeling Simulation Engineer jobs in New York, the most frequently searched job titles are:
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Internship Modeling Simulation Engineer jobs near you
Infographic showing various Internship Modeling Simulation Engineer job openings in New York as of July 2026, with employment types broken down into 92% Full Time, 5% Part Time, and 3% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution.
Computational Plasma Physicist - Transport Modeling

Computational Plasma Physicist - Transport Modeling

Thea Energy

Kearny, NJ • On-site

$100K - $140K/yr

Full-time

Medical, Dental, Vision, PTO

Re-posted 11 days ago

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:
Qualifications:
  • 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.
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About Thea Energy

Sourced by ZipRecruiter

Industry

Clean energy semiconductors manufacturing

Company size

11 - 50 Employees

Headquarters location

Princeton, NJ, US

Year founded

2022

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