Description of the role :
- Develop physics-based mathematical models for Li-ion battery cell degradation (SEI growth, CEI, particle/electrode cracking, ...)
- Implement models in COMSOL, 3D Experience and other available tools and perform life estimation studies under different load conditions (drive cycles, CCCV cycling, charge protocol, …)
- Develop tools and techniques (experimental and modeling) for the physicochemical characterization of degradation mechanisms (SEI, CEI, electrolyte, …) and construct material database
- Develop, implement, and run data-driven models for cell degradation and life estimation
- Perform DOEs and run experiments in close collaboration with battery scientists and test engineers, for aging analysis, model parametrization and validation
- Construct advanced studies, perform data analyses, run simulations, and deliver study results providing support to Product Development Team from early days to final stages of production
- Review literature for state-of-the-art understanding of complex aging mechanisms in Li-ion cells
- Work closely with cell development leaders to meet requirements of different projects according to project timelines
- Lead technical investigations, perform diagnostic analysis and prepare progress updates; participate in creating design review dossiers
- Take initiative for intellectual property development
Responsibilities :
- Regular review of the state-of-the-art concepts, tools, methodologies, and technologies (experimental and simulation) and construct roadmap of activities
- Ensure traceability and reliability of simulation results, methods and experimental data
- Ensure best-practice mathematical modeling and numerical simulations
- Ensure timely delivery of case-study results according to product dev timeline
- Undertake preparation of technical notes, standards and work instructions on tools, methods and studies
Requirements :
- PhD in Chemical Engineering, Chemistry, Physics, Mechanical Engineering, Electrical Engineering
- Specialized knowledge in electrochemical engineering, Li-ion batteries, and their degradation mechanisms
- Experience in physics-based modeling of Li-ion battery degradation (3+ years preferred)
- Experience in data-driven modeling and ML is a plus
- Strong background in data analysis and mathematical modeling
- Proficiency in scientific coding (Matlab/Python)
- Proficiency in simulation tools (3D Experience, ANSYS, COMSOL, ...)
- Experience in hands-on lab activities (cell assembly, testing, …)
- Experience in project management
- English: proficient / French is a plus
Top Skills
What We Do
Verkor is a French industrial company based in Grenoble. With the backing of EIT InnoEnergy, Groupe IDEC, Schneider Electric, Capgemini, Renault Group, EQT Ventures, Arkema, Tokai COBEX, FMET managed by Demeter, Sibanye-Stillwater and Plastic Omnium, Verkor will ramp up low-carbon battery manufacturing in France and Europe to meet the growing demand for electric vehicles — and electric mobility as a whole — and stationary storage in Europe. Verkor is developing an enticing business model based on agility, sustainability and governance that is attracting the best talents from around the world. Its strong and agile team continues to grow as new challenges arise. Verkor is leading a unifying project that brings together the best partners for establishing the entire value chain in Europe and ensuring the optimal use of skills and resources. Verkor will draw on these strengths to open its entirely digital 4.0 pilot line in 2022. A model of excellence, competitiveness and resource efficiency, this innovation will be integrated into the gigafactory due for construction in 2024. Please apply today with an English CV on our website: https://www.verkor.com/en/join-our-team