Position and project
The Biomedical Signal Interpretation and Computational Simulation group at the University of Zaragoza (Spain) seeks a PhD Student to work on the interface between Cardiac Electromechanical Modeling and Artificial Intelligence in the context of ischemic heart disease.
The position is part of the BRAV∃ project funded by Horizon 2020 programme of the European Commission. BRAV∃ aims at providing a lasting functional support to injured hearts through the fabrication of personalized tissue engineering-based biological ventricular assist devices (BioVADs). This ambitious project will combine multimodal deep cardiac phenotyping, advanced computational modeling and biomechanical analysis in a large animal model of disease to create a personalized 3D printable design.
The candidate will work on developing deep-learning neural networks trained on simulated data from large-scale physics-based electromechanical swine models, which is expected to allow obtaining simulated electromechanical data in an efficient way while maintaining accuracy as high as possible. The proposed multidisciplinary approach ultimately aims at contributing to shed light into the interaction between BioVADs and recipient hearts.
Qualifications
Candidates must hold an MSc in Engineering, Mathematics or Physics or similar discipline.
Expertise in computational modeling and/or signal processing is recommended. Strong oral and written communication skills in English are a must. Experience in Python and/or C++ programming is preferred. Previous experience with numerical methods for solving PDEs (e.g. Finite Element Method, Meshless Methods), Artificial Intelligence (e.g., neural networks) and CUDA programming is considered a plus.
The I3A Institute at University of Zaragoza
The Aragon Institute of Engineering Research (I3A), within the University of Zaragoza, comprises more than 500 researchers and a vibrant environment for multidisciplinary research.
Every year I3A participates in more than 300 research projects funded with over 10 M€ and more than 200 contracts with industry with 5 M€ turnover. Around 50 PhD theses supervised by I3A members are defended and nearly 300 papers are published in JCR journals every year. The Biomedical Signal Interpretation and Computational Simulation group at I3A, University of Zaragoza, is a leading expert in the development of signal processing tools to aid in the diagnosis, prognosis and treatment of cardiovascular diseases and conditions. This expertise is combined with modeling and simulation of cardiac electrophysiology to investigate causes and consequences of the phenomena observed from the processed signals.
Application
For additional information about the position, please contact Dr. Esther Pueyo
(epueyo@unizar.es) or Dr. Konstantinos Mountris (kmountris@unizar.es).
