Researcher - Multi-Physics Battery Modelling

CIDETEC Energy Storage

Donostia/San Sebastián

On-site

EUR 42,000 - 64,000

Full time

5 days ago
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Benefits offered by this job

Work-life balance initiatives
Professional development opportunities
Privileged setting
Variable remuneration package

Job summary

CIDETEC Energy Storage in Donostia-San Sebastián is seeking a researcher to develop and implement multi-physics models for battery technologies. You will work in the Energy Materials Unit, contributing to lithium/sodium ion and solid-state battery modelling, and collaborate with a multidisciplinary team.

You will implement new mechanisms in an existing battery simulation code using Python, and support funding documentation while driving innovation in energy storage technologies.

Qualifications

  • High level of written and spoken English.
  • Experience implementing and optimizing numerical methods for PDEs.
  • Modelling and simulation of multi-physics and multi-scale problems.
  • Advantage: Lithium-ion and electrochemical battery modelling.
  • Knowledge of Git/SVN and software development tools.
  • Knowledge of mathematical, statistical, and ML optimisation.

Responsibilities

  • Develop and implement multi-physics models for battery technologies.
  • Extend and optimise existing battery simulation code.
  • Produce documentation to support funding efforts.
  • Deliver on forecasts in annual plans and maintain progress.
  • Collaborate with multidisciplinary teams to accelerate technology transfer.

Skills

Python programming
PDE modelling
Multi-physics
Numerical methods
Research experience

Education

PhD or MSc in energy storage/related

Tools

Git
OpenFOAM
COMSOL

Job description

CIDETEC Energy Storage in Donostia-San Sebastián is seeking a researcher to develop and implement multi-physics models for battery technologies. You will work in the Energy Materials Unit, contributing to lithium/sodium ion and solid-state battery modelling, and collaborate with a multidisciplinary team.

You will implement new mechanisms in an existing battery simulation code using Python, and support funding documentation while driving innovation in energy storage technologies.

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