STAGE - Ingénieur Biomécanique Numérique

Résumé du poste
Stage
Montpellier
Salaire : Non spécifié
Début : 30 mars 2025
Télétravail occasionnel
Expérience : > 1 an
Éducation : Bac +5 / Master
Compétences & expertises
Contenu généré
Pensée analytique
Compétences en mécanique
Python
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Sim&Cure
Sim&Cure

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Le poste

Descriptif du poste

Coil modeling and validation 
(Internship for the Biomechanics team) 
Overview: 
The Biomechanics team is working on advancing the design of the FCsize module. Since February 2024, the team has been focused on developing three different mathematical models for coiling. Two of these models utilize dynamic path planning algorithms, while the third is based on finite element modeling (FEM). The dynamic path planning models are computationally efficient and aligned with the Sim&Size product, while the FEM model, developed in LS-DYNA, acts as a benchmark to evaluate and refine the other methods and make decision about the final solution. 
This internship project will focus on helping to finalize the design of the new FCsize module by conducting comparative studies, tuning parameters, extract relevant clinical indices from simulations, and validating the models for product integration. 
Objectives 
Simulation Studies: conduct simulations, post process the results and compare results from the three models to address design questions (e.g., impact of coil pre-shape and material properties on final deployment and coil apposition). Select and fine-tune the most compatible algorithm to achieve best possible results. 
Validation: Design and execute validation studies to ensure readiness for product integration. Investigate new validation methods that can be added to the V&V protocols, such as contact force validation. 


Profil recherché

Required Skills and Competencies: 

  • Finite Element Modeling (preferably experience with LS-DYNA) 
  • Python Programming 
  • Post-Processing (preferably experience with ParaView) 
  • Analytical Thinking & Problem Solving 
  • Solid Mechanics/Mechanical Engineering 
  • Familiarity with experimental methods and validation activities 

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