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Postdoc “machine Learning for Predicting
Il y a 7 mois
We’re looking for an ambitious postdoctoral researcher to strengthen our sustainable electrical energy devices team and help us to further develop our innovative, next generation battery management system:
**Function**
- You’ll investigate how high-resolution time series battery data can be used to train data-driven machine learning models
- You’ll compare with physics-based models and investigate whether there is a physical interpretation of the time-series features predicting the battery failure.
- You will take responsibility for delivering high-quality and timely scientific results
- You publish your work in high-impact scientific publications, and present your research results in relevant conferences
- PhD in the context of data science (mathematics, engineering, computer science or similar)
- Background in machine learning, ideally including deep learning, and strong interest in interdisciplinary research
- Experience with recent deep learning frameworks and programming language Python are considered assets
- Experience utilising GPU enabled High-Performance Computing environments to be an advantage
- Excellent communication, team-working and interpersonal skills
- Enthusiasm and great commitment to research
**Offer**
- A competitive salary with a range of benefits including allowances, insurances, and a modular vacation package
- A team of nice colleagues, experts in their fields, who will guide, support and interact with you
- Innovation is our asset, so it goes without saying that we offer our employees the opportunity to follow additional training courses and stay up to date in their field of expertise
- You will be part of an organization with an international reputation, known for its advanced technological research and scientific consultancy