Internship Speeding up Simulations

About us

Damen aims to become the worlds most sustainable and digitally connected shipyard. The Research Development & Innovation(RD&I)department develops and implements the technology and know-howto achieve these ambitions. We activelyassistthe business in creating an innovative product portfolio andprovideforward-thinking guidance to improve the quality and performance of Damens products and services.

You will be joining theData Science teamwithin Damen RD&I locatedinGorinchem. Our department focuses on applyingcutting-edgedata and AI solutions to Damens shipbuilding and maritime operations.The team includes domain experts inphysics-informed machine learning simulation acceleration predictive maintenance computer vision and operational analytics.

Therole

As an intern you will work on theFast Physics project which aims to drastically reduce the runtime of high-fidelitycomputational fluid dynamics (CFD)simulationsofshiphulls. These simulations are essential in predicting how a vessel behaves in water but they can take hoursto compute.Instead of running time-consuming physics-based simulations weusegeometricdeep learninga type of machine learning that can learn fromvesseldesignsandquickly estimate results like water resistance or flow around the hull.The outcome is a working prototype that can support early-stage design exploration and simulation optimization.

You will contribute to enhancing the performance of an existing system that predicts physical quantitiessuch as ship resistance and flow fieldsbased on geometry and operating conditions. Your primary focus will be on a dedicated topic involving thetraining validationandextensionof the framework to supportmultiple ship typesand/orvarying levels of simulation fidelity.

Keyaccountabilities

You will be responsible for the following aspects:

• Support theimprovementofML-basedframeworks focusing ongeometric deep learning andgraph neural networks;

• Preprocess CFD simulation data and ship hullgeometries;

• Run experiments inPython usingPyTorch;

• Workcloselyinour team together with Data Scientists domainknowledgenaval architectsand external partners such as MARIN.;

• Document results and present findings to the team regularly.

Skills & Experience

We are looking for a student who:

• IscurrentlypursuingaBachelororMasterinMechanical Engineering Applied MathematicsComputer ScienceDataScienceor a related technicalfield.

• Hasexperience with Python and ideallydeep learning frameworkssuch asPyTorchor TensorFlow.

• Hasfamiliarity with 3Dgeometryformats orCFDsimulation and numericaldata.

• Hasa strong interest inphysics-based modelingand applying AI to engineering problems.

• Communicates fluently inEnglish.
• Is fulltime available to take on this project as a summer internship with the possibility to extend toathesis or graduation project.

What we offer

• Mentoring atacademiclevelwill be available throughout the internship.

• Internship/graduation fee and travel allowancewill be paid for the duration of the assignment.

• Opportunity to contribute to ahigh-impact innovation projectin collaboration with leading maritimecompaniesinstitutesand universities.

• Research publication islikelypossiblewitha possible extensionof the internship period.

• Possibility to visitpartner hubs or research centers(e.g. MARIN in Wageningen) depending on project needs and availability

Other

Are you ready to sail into your new adventure at Damen Dont hesitate send us your motivation letter and resume here.

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