Aging Modelling Engineer (m/w/d)

Job Description

• Develop physics-based mathematical models for Li-ion battery cell degradation (SEI growth, CEI, particle/electrode cracking, ...)
• Implement models in COMSOL, PyBaMM, 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, PyBaMM, ...)
• Experience in hands-on lab activities (cell assembly, testing, ...)
• Experience in project management
• English: proficient / French is a plus