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

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

Job Description

General call for Grants allocated to research projects or groupsto pursue Doctoral Studies.

Universidad de Deusto - Investigación

DEUSTO SMART MOBILITY RESEARCH GROUP, DeustoTech, at the University of Deusto

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.

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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

Salary

• 65 € gross/year

Funding Entity

Ministerio de Ciencia, Innovación y Universidades

Requirements

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.

The University of Deusto carries this call within the framework of "General call for Grants allocated to research projects or groups to pursue Doctoral Studies."

Equal Opportunities and Inclusion

The 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.

Candidates with a recognised disability are encouraged to apply.

Reasonable accommodations will be provided throughout the selection process when required.

Job ID

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