Internship: Fast Physics

We are Damen, a shipbuilding company that aims to become the world's most sustainable and digitally connected shipyard. Our Research, Development & Innovation department develops cutting‑edge data and AI solutions for ship building and maritime operations. This internship is part of a strategic project to accelerate complex simulations for ship performance using machine learning and graph‑based AI.

The role is an intern position within the Data Science team, located in Gorinchem. The internship follows a thesis/graduate internship structure and may start from September onwards.

• Support the improvement of ML‑based frameworks, focusing on geometric deep learning and graph neural networks.
• Preprocess CFD simulation data and ship hull geometries.
• Run experiments in Python using PyTorch.
• Collaborate with Data Scientists, naval architects, and external partners such as MARIN.
• Document results and present findings to the team regularly.

• Currently pursuing a Bachelor or Master in Mechanical Engineering, Applied Mathematics, Computer Science, Data Science or a related technical field.
• Experience with Python and, ideally, deep learning frameworks such as PyTorch or Tensor Flow.
• Familiarity with 3D geometry formats or CFD simulation and numerical data.
• Strong interest in physics‑based modeling and applying AI to engineering problems.
• Fluent communication in English.

• Academic mentoring throughout the internship.
• Internship/graduation fee and travel allowance paid for the duration of the assignment.
• Opportunity to contribute to a high‑impact innovation project in collaboration with leading maritime companies, institutes and universities.
• Possibility to publish research and extend the internship period.
• Optional visits to partner hubs or research centres (e.g., MARIN in Wageningen) depending on project needs and availability.

Due to housing issues we cannot accept international students that do not have accommodation in the Netherlands yet.

Send your motivation letter, résumé and additional materials to lisel Please apply through the Apply button; we cannot accept applications by email due to GDPR reasons.