PhD grant in non-destructive characterisation of batteries based on AI and ultrasound

[Antonio David Masegosa Arredondo]

*Apologies for cross-posting *

*Please forward to anybody who might be interested.*

**GRANT DESCRIPTION**

DeustoTech – Deusto Institute of Technology
(http://deustotech.deusto.es/) 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.

**PROJECT**

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
(https://deustotech.deusto.es/project/medinspain/)

**SUPERVISORS**
Lola Fernández-Caballero Fariñas
Antonio D. Masegosa Arredondo

**ENDOWMENT OF THE CONTRACT**
- The contract will be made on a yearly basis, renewable once for up to
a total of 2 years
- 28.612,65 € gross/year (net salary will be very similar to this amount)

**REQUIREMENTS**

- Programming skills in Matlab and/or Python.
- Prior experience in Machine Learning and Optimisation methods
- Prior experience with Machine Learning libraries/frameworks (e.g.,
PyTorch, JAX, etc.)
- 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 characterisation techniques or
electrochemical methods.
   -  Prior experience in multidisciplinary environments (e.g., some
work experience) or international collaborations (e.g., Erasmus, Horizon
Europe).
   -  Scientific publication experience.

**DEADLINE FOR APPLICATIONS**

September 13th, 2026 (applications will be evaluated in order of arrival).

**APPLICATION PROCESS**
Please follow the guidelines provided at the following link:
https://deusto.talentclue.com/en/node/127107480/4590