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Research Project Overview
The Barcelona Supercomputing Center (BSC) is seeking a highly skilled Post-Doc researcher to participate in a research project coordinated by the Technical Research Centre of Finland (VTT) to advance the batteries field further and contribute to sustainable energy technologies development.
Project Objectives
- To perform high-fidelity simulations and AI techniques to better understand battery systems with coupled multiphysics phenomena.
- To provide insights into the prototyping design and abuse testing to increase performance and safety.
Job Responsibilities
- Design and implementation of AI-based techniques for the battery management system.
- 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
- 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.
- Good programming skills in Python.
- Good knowledge of common machine learning libraries (Tensorflow, Torch, etc.).
Additional Knowledge and Professional Experience
- Good programming skills in other languages (Fortran, C, C++, Julia).
- Good knowledge of reinforcement learning libraries (Rllib, TFAgents, 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.