Intern – AI-Driven Optimization & Generative 3D MODSIM (Master's Thesis Option)

Intern (m/f/d) – AI-Driven Optimization & Generative 3D MODSIM (Master's Thesis Option)

Germany, Karlsruhe

Internship

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Key Job Details

Product

Dassault Systèmes

Ref ID

550700

* Research and develop AI/ML multi-fidelity approaches for non-parametric optimization processes (e.g., enabling the generation of highly detailed structures based on coarser finite element meshes).

* Participate in the development and implementation of structural optimization algorithms.

* Prototype and test implementation of algorithmic routines in a C++ and Python environment.

* Perform modeling within the context of the Finite Element Method (FEM).

* Investigate, evaluate, and test cutting-edge methods in the fast-moving field of AI and Machine Learning.

* Optionally, combine your internship with a subsequent Master's Thesis on advanced Generative Design topics.

0 to 3 years

* Currently pursuing a Master's degree in Mechanical Engineering, Civil Engineering, Aerospace, Computational Engineering, or a related field.

* First practical or theoretical experience with CAE (Computer-Aided Engineering) and FEM.

* Initial experience with AI, Machine Learning, or related data science technologies is preferred.

* Solid understanding of structural mechanics, mathematics, and numerical methods.

* Programming skills in Python and/or C++ are advantageous.

* Strong fascination for simulation-based optimization and generative engineering.

* Self-motivated, goal-oriented mindset with high team spirit.