PI - PhD in non-destructive characterization of battery materials based on Artificial Intelligence
Universidad de Deusto - Investigación
Job description
General call for Grants allocated to research projects or groups to pursue Doctoral Studies.
DeustoTech – 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.
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 ( /)
Principal Investigator (PI) of the project
- Imanol Torre
Thesis co-director
- Antonio D. Masegosa Arredondo
Endowment of the contract
- Contract will be made on a yearly basis, renewable once for up to a total of 2 years
- 28.612,65 € gross/year
Funding Entity
Ministerio de Ciencia, Innovación y Universidades
Requirements
Qualifications required
- Programming skills in Matlab and/or Python.
- Strong analytical and problem-solving skills.
- Excellent knowledge of English (oral/written) is compulsory for the job profile and tasks development.
- Valuable items: Knowledge of energy storage systems, particularly at the cell level. Experience with materials characterization techniques or electrochemical methods. Prior experience in multidisciplinary environments (e.g.: some work experience) or international collaborations (e.g.: Erasmus). Scientific publication experience.
Application
The 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
Please, complete the following two steps:
- Register on this page by clicking on the blue "Apply" button.
- Fill out the following
2.1 Enrollment at a University of Deusto PhD programme or
2.2 Official academic transcript of previous official university studies (1st and 2nd cycle), even if they are currently being taken, issued by the corresponding unit. The academic certificate must state the name of the degree programme, the subjects that make up the course syllabus, the subjects passed, the grades obtained and the dates on which they were obtained.
2.3 Curriculum vitae.
Contact information:
is firmly committed to equal opportunities, , and encourages applications from all qualified candidates regardless of age, disability, nationality, ethnic origin or any other personal or social condition.
Candidates with a recognised disability are encouraged to apply. Reasonable accommodations will be provided throughout the selection process when required.