06 ago
|
UNIVERSIDAD DE DEUSTO
|
Bilbao
06 ago
UNIVERSIDAD DE DEUSTO
Bilbao
ph3Universidad de Deusto - Investigación /h3 h3Job description /h3 pGeneral call for Grants allocated to research projects or groupsto pursue Doctoral Studies. /p pDEUSTO SMART MOBILITY RESEARCH GROUP, DeustoTech, at the University of Deusto /p pDeustoTech – Deusto Institute of Technology ( is the technological research centre of the University of Deusto, located on the Bilbao campus, whose mission is to promote research, training and knowledge transfer at the service of society and industry. /p pWith 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 presente 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. /p pWe 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. /p pTitle of the project to be incorporated /p pInnovative 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. PLEC ( /p pPrincipal Investigator (PI) of the project /p ul liImanol Torre /li /ul pThesis co-director /p ul liAntonio D. Masegosa Arredondo /li /ul pEndowment of the contract /p ul liContract will be made on a yearly basis, renewable once for up to a total of 2 years /li li28.612,65 € gross/year /li /ul pFunding Entity /p pMinisterio de Ciencia, Innovación y Universidades /p h3Requirements /h3 pQualifications required /p ul liProgramming skills in Matlab and/or Python. /li liStrong analytical and problem-solving skills. /li liExcellent knowledge of English (oral/written) is compulsory for the job profile and tasks development. /li liValuable items: /li ul liKnowledge of energy storage systems, particularly at the cell level. /li liExperience with materials characterization techniques or electrochemical methods. /li liPrior experience in multidisciplinary environments (e.g.: some work experience) or international collaborations (e.g.: Erasmus). /li liScientific publication experience. /li /ul /ul pThe University of Deusto carries out this call within the framework of “General call for Grants allocated to research projects or groups to pursue Doctoral Studies.” For more information on this call, please click on the following link. /p pContact information: /p pThe University of Deusto is firmly committed to equal opportunities, diversity and inclusion, and encourages applications from all qualified candidates regardless of gender, age, disability, nationality, ethnic origin or any other personal or social condition. /p pCandidates with a recognised disability are encouraged to apply. Reasonable accommodations will be provided throughout the selection process when required. /p /p #J-18808-Ljbffr
📌 PI - PhD in non-destructive characterization of battery materials based on Artificial Intellige[...] (Bilbao)
🏢 UNIVERSIDAD DE DEUSTO
📍 Bilbao