Position Summary
6 months starting in July 2026
Location: Station F (5 Parv. Alan Turing, 75013 Paris)
Samsung Design Innovation Center (SDIC) is looking for a Computational Engineering Intern who is passionate about combining computational design workflows, advanced simulations, and experimental validation You will help develop, run, and automate FEA simulations for wearable products, conduct material characterization, and participate in user testing to validate model predictions and improve product performance. This internship offers a unique opportunity to work in a cutting-edge R&D environment, collaborating with designers, engineers, and creative technologists in Paris, San Francisco and Seoul.
The position is based at Station F in Paris, the world鈥檚 largest startup campus and one of the most vibrant global innovation hubs. Station F brings together leading startups, venture capital firms, tech leaders, and major innovation incubators under one roof, creating a uniquely dynamic and entrepreneurial ecosystem. Working from this internationally renowned center of innovation places you at the heart of cutting-edge technology, cross-industry collaboration, and a thriving startup scene - an environment designed to accelerate experimentation, bold ideas, and breakthrough solutions.
Role and Responsibilities
Key Responsibilities
FEA analysis:
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Perform sensitivity analyzes on mechanical simulation for wearable product and assess impact of assumptions on simulation results
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Automate simulation meshing process
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Help in automating simulation setup and post processing
Experimental Design & Validation:
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Perform material characterization to provide mechanical properties for FEA models
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Provide mechanical test data to calibrate simulation models
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Support user testing of wearable prototypes to evaluate fit, comfort, and usability.
This internship is subject to the signing of an internship agreement in accordance with French regulations.
Skills and Qualifications
Candidate Profile
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Proficient in English (speaking and writing)
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Currently pursuing a Master鈥檚 degree in engineering
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Knowledge of FEA software (Abaqus mainly, or Ansys, Hypermesh, Nastran) and FEA theory fundamentals is essential for that offer
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Familiarity with object-oriented Python scripting
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Interest in developing simple test benches and experimental protocols
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Detail-oriented, curious, and proactive
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(Nice to have) Knowledge of parametric modeling tools
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(Nice to have) Knowledge of simulation model calibration using experimental data
What We Offer
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A 6-month immersive experience at the intersection of computational engineering, industrial design, and R&D
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Hands-on exposure to FEA automation, material testing, and user-centered product validation.
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A collaborative and international design environment where innovation drives real-world impact.
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The chance to contribute to future Samsung wearable products.
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The chance to work in one of the most vibrant global innovation hubs in the world
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