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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Physics-Informed ML Engineer for Ship Design & Hydrodynamics employer: University of Southampton
The University of Southampton is an exceptional employer, offering a dynamic and inclusive work culture that prioritises employee growth and development. With ambitious plans for a £1bn investment in sustainable estates, employees have the opportunity to work on impactful projects within a prestigious institution that values diversity and innovation. Join a vibrant community where your contributions will shape the future of education and research.
