PhD: AI‑Driven Non‑Destructive Battery Characterization

Deusto Business School; Asturias; On-site; EUR 6,500 - 8,500; Full time

Job summary

Universidad de Deusto invites applications for a doctoral grant within the DEUSTO SMART MOBILITY RESEARCH GROUP at DeustoTech. The role focuses on applying non-contact ultrasonic technologies to battery cells and developing AI methods to analyse operando data for characterization and sorting.

The project aims to bridge scientific knowledge with industrial applications, with findings disseminated at conferences, consortium meetings and high-impact journals, under the funding framework for

Qualifications

• 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.

Job description

Universidad de Deusto invites applications for a doctoral grant within the DEUSTO SMART MOBILITY RESEARCH GROUP at DeustoTech. The role focuses on applying non-contact ultrasonic technologies to battery cells and developing AI methods to analyse operando data for characterization and sorting.

The project aims to bridge scientific knowledge with industrial applications, with findings disseminated at conferences, consortium meetings and high-impact journals, under the funding framework for