PhD position - Predicting the stress field in atherosclerotic plaque of arteries using scientific machine learning within the HDS-LEE graduate school

Work group: JSC - Jülich Supercomputing Centre Area of research: PHD Thesis Job description: Your Job: We are looking for a PhD student to develop learning-based surrogate models for predicting stress fields in patient-specific arteries. Especially high stresses in plaque can lead to rupture, which is one cause of a stroke and thus the prediction of plaque rupture is very relevant.