PhD in Physics-Enhanced Reduced-Order Digital Twins for Real-Time Prediction of Soft Tissue Injury Risk MINES Paris PSL in France

PhD opportunity at MINES Paris PSL / CEMEF (UMR CNRS 7635) in physics-enhanced reduced-order digital twins for real-time prediction of soft tissue injury risk in prosthetic socket users.

The project sits at the intersection of Biomedical Engineering, Physics, Mechanical Engineering, and Computer Science, with keywords including PCA, dimensionality reduction, finite element modeling, and hyperreduction. It is a research-focused PhD aimed at developing computational tools for fast, accurate prediction in a clinically relevant biomechanics setting.

The announcer is David Ryckelynck, Professor at MINES Paris PSL, Scientific Machine Learning. The post indicates the research environment is based at CEMEF / MINES Paris PSL in France.

No deadline, funding details, or formal application portal are provided in the post text. Interested candidates should use the LinkedIn contact/post link to follow up directly with the professor or the research group.