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Computational Modeling Simulation Phd Jobs in California

The Camera Modeling & Simulation team, a part of the Camera Hardware and Depth Team, develops novel ... computational imaging, or similar. Preferred Qualifications MS/PhD degree in Optics, Physics ...

... PhD degree in Optics, Physics, Electrical Engineering or related field and relevant industry experience in Optics, optical systems modeling & simulation, Published research in imaging, computational ...

... PhD degree in Optics, Physics, Electrical Engineering or related field and relevant industry experience in Optics, optical systems modeling & simulation,Published research in imaging, computational ...

The Camera Modeling & Simulation team, a part of the Camera Hardware and Depth Team, develops novel ... computational imaging, or similar. Preferred Qualifications * MS/PhD degree in Optics, Physics ...

Camera Simulation Engineer

Cupertino, CA · On-site

$184K - $324K/yr

The Camera Modeling & Simulation team, a part of the Camera Hardware and Depth Team, develops novel ... Preferred Qualifications MS/PhD degree in Optics, Physics, Electrical Engineering or related field ...

... PhD degree in Optics, Physics, Electrical Engineering or related field and relevant industry experience in Optics, optical systems modeling & simulation, Published research in imaging, computational ...

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Computational Modeling Simulation Phd information

What is the difference between Computational Modeling Simulation Phd vs Computational Scientist?

AspectComputational Modeling Simulation PhdComputational Scientist
Required CredentialsPhD in computational sciences, engineering, or related fieldMaster's or PhD in computational or related fields
Work EnvironmentResearch labs, academia, industry R&DResearch institutions, tech companies, industry R&D
Industry UsageDeveloping models, simulations, and algorithms for complex systemsApplying computational methods to solve scientific or engineering problems

Both roles involve advanced computational skills and research experience, but the Computational Modeling Simulation Phd typically focuses on developing and validating models through extensive research, while a Computational Scientist applies these methods to practical problems across various industries.

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Infographic showing various Computational Modeling Simulation Phd job openings in California as of June 2026, with employment types broken down into 89% Full Time, 10% Part Time, and 1% Temporary. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution.

R&D FEA Engineer for Neurovascular

Saim Technologies

Irvine, CA • On-site

Other

This job post has expired 2 days ago. Applications are no longer accepted.


Job description

Role: R&D FEA Engineer for Neurovascular
Location: Irvine, CA

Key Responsibilities:

Develop & utilize structural finite-element modeling tools for the design and evaluation of neurovascular device/s.,
Implement general mechanical design and solid mechanics fundamentals to drive product development for the treatment of neurovascular diseases.,
Work collaboratively with front-end R&D and product development teams as well as with cross-functional team members to bring new products to market.,
Utilize computational modeling & simulation to develop new test methods, integrate materials and processes, characterize device performance.,
Prepare reports and presentations to communicate technical assessments and analysis results.,
Generate technical reports for submission to regulatory agencies.,
Offer insight, guidance, and mentorship to project team members.,
Aid in the generation of intellectual property.,
Analyze computational modeling & simulation results, distill key findings, and translate them into conclusions.,
Must Have:
Minimum Requirements, To be considered for this role, please ensure the minimum requirements are evident in your applicant profile and on your resume.,
A bachelor's degree in a technical discipline,
Minimum 4 years of experience in using Abaqus Implicit and Explicit solvers to solve real-life biomedical engineering problems., OR master s degree with a minimum of 2 years relevant experience OR PhD with 0 years relevant experience.,
Nice to Have:,
Experience with CAD modeling in SolidWorks.,
Coding experience with Python and Matlab.,
Master s or PhD in Biomedical Engineering, Mechanical Engineering, Applied Mechanics, or related discipline with a research focus on modeling vascular implants, e.g., stents or heart valves, .,
Experience with running simulations on high-performance computing clusters., Experience with verification, validation, and uncertainty quantification for structural simulations as per ASME V&V 10, 20, and 40.,
Experience of writing detailed technical reports.,
Effective collaboration with R&D engineers for material characterization and device-level bench testing.