Pi - Phd In Non-Destructive Characterization Of Battery Materials Based On Artificial Intellige[...] (País Vasco)

Pi - Phd In Non-Destructive Characterization Of Battery Materials Based On Artificial Intellige[...] (País Vasco)

05 ago
|
Deusto Business School
|
País Vasco

05 ago

Deusto Business School

País Vasco

ph3Universidad de Deusto - Investigación /h3pGeneral call for Grants allocated to research projects or groupsto pursue Doctoral Studies. /ph3DEUSTO SMART MOBILITY RESEARCH GROUP, DeustoTech, at the University of Deusto /h3pDeustoTech – 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. /ppWith 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. /ppTo address this problem, the selected candidate will perform research at the intersection of Artificial Intelligence, ultrasonic technologies and batteries. /ppIn 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. /ppSecond, 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. /ppWe offer the opportunity to work on an emerging and high-impact research topic, bridging scientific knowledge generation with industrial applications. /ppThe 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.



/ph3Title of the project to be incorporated /h3pInnovative 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. /ppPLEC*********** ( /) /ph3Principal Investigator (PI) of the project /h3pImanol Torre /ph3Thesis co-director /h3pAntonio D. Masegosa Arredondo /ph3Endowment of the contract /h3pContract will be made on a yearly basis, renewable once for up to a total of 2 years /pulli,65 € gross/year /li /ulh3Funding Entity /h3pMinisterio de Ciencia, Innovación y Universidades /ph3Requirements /h3ulliProgramming skills in Matlab and/or Python. /liliStrong analytical and problem-solving skills. /liliExcellent knowledge of English (oral/written) is compulsory for the job profile and tasks development. /li /ulh3Valuable Items /h3ulliKnowledge of energy storage systems, particularly at the cell level. /liliExperience with materials characterization techniques or electrochemical methods. /liliPrior experience in multidisciplinary environments (e.g.: some work experience) or international collaborations (e.g.: Erasmus). /liliScientific publication experience. /li /ulpThe 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." /ppThe 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. /ppCandidates with a recognised disability are encouraged to apply. /ppReasonable accommodations will be provided throughout the selection process when required. /pp#J-*****-Ljbffr /p /p #J-18808-Ljbffr

📌 Pi - Phd In Non-Destructive Characterization Of Battery Materials Based On Artificial Intellige[...] (País Vasco)
🏢 Deusto Business School
📍 País Vasco

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