Data Scientist - Li-ion Batteries

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/7bww3a

We are in search of a Data Scientist with a focus on battery technology. The atomistic modelling and instead emphasizing predictive modelling that complements experimental work. **Responsibilities**:
Battery: - Develop and implement predictive models for battery systems, encompassing thermal behaviour, electrochemical processes, and overall performance.
- Computational Analysis: Utilize computational tools to analyse large datasets, predict trends in battery performance, and optimize manufacturing processes. Collaboration: - Work closely with cross-functional teams including R&D;, process engineering, and quality control to integrate computational models seamlessly into the experimental workflow. Optimization: - Identify opportunities for process optimization through computational modelling, contributing to enhanced battery efficiency, longevity, and overall performance. Validation: - Collaborate with experimental teams to validate and refine computational models based on real-world data,



ensuring alignment with actual manufacturing processes.
- Documentation: Maintain comprehensive documentation of models, methodologies, and findings, ensuring knowledge transfer and effective communication within the organization. Qualifications:
**Education**: - Masters or Ph.D. degree in Engineering, Computational Science, or a related field with a focus on battery technology. **Experience**: - Proven experience in predictive modelling, computational analysis, and data-driven decision making within the battery manufacturing or related industry. **Skills**: - Proficiency in computational tools and programming languages (e.g., Python, MATLAB, etc.).
- Familiarity with battery modelling software and simulation tools.
- Strong analytical and problem-solving skills.
- Excellent communication skills and the ability to collaborate effectively with multidisciplinary teams.

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/7bww3a