University of Exeter invites applications for a doctoral studentship focused on multiscale scientific machine learning for predicting thermal trajectories, torque capability and efficiency in low-speed, high-torque propulsion systems. The project blends physics-informed neural networks, recurrent models and Neural ODEs, with digital-twin validation and experimental data from a high-performance dynamometer.
You will collaborate with Ecomar Innovations on industrial hardware, spend significant
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Our team is growing, and we are hiring a Multiscale SciML Digital Twin for High-Torque Propulsion in Exeter, England, United Kingdom.
Full responsibilities and requirements are described in the listing above.
Learn more about the Multiscale SciML Digital Twin for High-Torque Propulsion role in the description above.
We appreciate your interest in this position.
Join University of Exeter and contribute to our ongoing work.
Take a moment to read everything above and see whether this role is right for you.