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CIDETEC needs to recruit a researcher in the Energy Materials Unit to work in the Modelling and Optimisation area.
A researcher is required in the area of energy storage, able to contribute to the development and implementation of optimisation algorithms for lithium ion and lithium metal batteries.
Responsibilities:
The successful candidate will join the Energy Materials Unit, working in training and/or transfer to company projects. They must be capable of carrying out several lines of research simultaneously, optimising resources and maximising results.
The researcher will work independently, according to the work plan defined.
They will be responsible for implementing new models and optimisation algorithms and other functionalities on existing battery simulation code. This will require knowledge of Python programming as well as fluency in formulating and solving new optimisation problems.
They will also be involved in:
Continuous monitoring of the state of the art and of the market
Education:
Master's in Mathematics / Physics / Engineering
Languages:
High level of written and spoken English
Knowledge:
The successful candidate must demonstrate solid knowledge in:
- Python programming or advanced programming in another similar language and the ability to adapt
- Experience in implementing algorithms for optimisation and sensitivity analysis.
- Modelling and simulation of complex problems: multi-physics and multi-scale problems
Additionally, knowledge in the following areas will be an advantage:
- Lithium-ion and electrochemical battery modelling
- Modern programming tools, display and software development (Git/SVN, Plotly)
- Mathematical, statistical and machine learning optimisation
Observations:
We are seeking a highly motivated person with an interest in research and innovation to join a multi-disciplinary, multi-cultural team. They must be able to organise their work and meet deadlines and targets.