2 PhD positions: Device-Related Thrombus Modelling and Machine Learning in Cardiac Medical Device Optimisation

Application deadline:

PhD project 1 (PhD1): Computational models for the prediction of device-related thrombus in LAAO devices. In collaboration with other partners (mainly Boston Scientific, IHU Bordeaux and Simula), as well as several junior/senior researchers at UPF, PhD1 will work on the development of computational models to simulate the thrombus formation process after LAAO (left atrial appendage occluder) device implantation.

PhD2 project (PhD2): Machine learning for the optimisation of device and drug therapy treatment in patients with atrial fibrillationIn collaboration with other partners (mainly Inria, IHU Bordeaux, Boston Scientific), and junior/senior researchers at UPF, PhD2 will work on the development of machine learning tools to predict the optimal LAAO device settings for each individual patient.