Physics-Informed ML Engineer Ship Design & Hydrodynamics

Compute Maritime Ltd in collaboration with the University of Southampton is seeking a Machine Learning Engineer for a Knowledge Transfer Partnership to embed physics-informed AI into Neural Shipper, a vessel design platform. You will build fast ML models for ship resistance and propulsion, and extend to wind-assisted propulsion and rigid sails.

You will work with industry stakeholders and use CFD/benchmark data to validate tools, developing scalable software solutions for commercial deployment.

We have an opening for a Physics-Informed ML Engineer for Ship Design & Hydrodynamics in London Borough of Southwark, England, United Kingdom within Engineering.

Join University of Southampton and contribute to our ongoing work.

Take a moment to read everything above and see whether this role is right for you.

This posting is for the Physics-Informed ML Engineer for Ship Design & Hydrodynamics role at University of Southampton, based in London Borough of Southwark, England, United Kingdom.