Postdoctoral Researcher in Battery Management Systems
hace 21 horas
Job Summary:
We are seeking a highly motivated and experienced researcher to join our team as a Post-Doc Position in the field of battery management systems. The successful candidate will work on the development of AI-based techniques for battery management systems, with a focus on data analysis and digital twins.
Key Responsibilities:
- Design and implementation of AI-based techniques for battery management systems
- Data analysis with connection to digital twins
- Exploration of physics-based approaches using machine learning and reduced-order modelling
- Coupling with HPC solvers
- Optimize accuracy and efficiency of these AI approaches to achieve the project KPIs
- Participate in the project meetings
- Validate the numerical results with the experimental data
- Interact with other BSC researchers and all the project partners
Requirements:
- Education: The candidate should hold a degree in computational mechanics or applied mathematics
- Basic education (BSc/MSc) related to artificial intelligence using machine learning methods is mandatory
- Basic education (BSc/MSc) related to computational mechanics is highly appreciated
Essential Knowledge and Professional Experience:
- Deep knowledge of machine learning methods (supervised, semi-supervised, unsupervised, and reinforcement learning)
- High knowledge of deep data structures like neural networks (feed forward, convolutional, graph-based, recursive, transformers), and ensemble models
- 2-4 years of minimum experience with data engineer tasks
Additional Knowledge and Professional Experience:
- Good programming skills in Python
- Good knowledge of common machine learning libraries (Tensorflow, Torch, etc.)
Competences:
- Strong analytical skills
- Fluent English
- Ability to work independently and within a team
- Good communication and teamwork skills
Conditions:
- The position will be located at BSC within the CASE Department
- We offer a full-time contract, a good working environment, a highly stimulating environment with state-of-the-art infrastructure, flexible working hours, extensive training plan, restaurant tickets, private health insurance, support for relocation procedures
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