Physics-Informed ML Engineer for Ship Design & Hydrodynamics

Physics-Informed ML Engineer for Ship Design & Hydrodynamics

Full-Time On-site
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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 NeuralShipper, 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.

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Contact Details:

The Methodist Church in Britain Recruitment Team