PhD in non-destructive characterization of battery materials based on ultrasound techniques - at DeustoTech at the University of Deusto

Descrizione

Testo originale dell'annuncio (in inglese)

With the rapid growth of the energy storage sector, next-generation battery technologies demand innovative methods to collect valuable information from battery cells in operando in a non-destructive way. To address this problem, the selected candidate will perform research at the intersection of Artificial Intelligence, ultrasonic technologies and batteries. In particular, she/he will first participate in the application of non-contact ultrasonic technologies to actual battery cells, as novel non-invasive and fast techniques to collect in operando data for battery cell characterisation and testing. Second, the candidate will develop Artificial Intelligence methods that can leverage these data to assist at key stages of the manufacturing line or even at end-of-life for sorting before recycling. We offer the opportunity to work on an emerging and high-impact research topic, bridging scientific knowledge generation with industrial applications. The expected findings and results will be actively disseminated through conferences, seminars, and consortium meetings, both nationally and internationally, as well as through publications in high-impact scientific journals. Title of the project to be incorporated Innovative Methods And Domestic Value Chain For The Circular Economy Of Energy Storage Systems, Including Sorting, Reuse, Recycling And Processes Automatization For The Recovery Of Critical Materials (MEDINSPAIN) – Ref. PLEC2024-011140 ( https://deustotech.deusto.es/project/medinspain/ ) Principal Investigator (PI) of the project Imanol Torre Thesis co-director Antonio D. Masegosa Arredondo