Physics-Informed ML Engineer Ship Design & Hydrodynamics
Listed on 2026-11-01
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Software Development
Machine Learning/ ML Engineer
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.
The following opening is for a Physics-Informed ML Engineer for Ship Design & Hydrodynamics with The Methodist Church in Britain.
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The position is based in London Borough of Southwark, England, United Kingdom.
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