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, 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

• Stimulating work environment: pleasant offices, multicultural and motivated team

• Lunch vouchers

• 50% of local transportation costs financed

• Industry-leading healthcare

• Opportunities to network and connect with worldwide experts

• all positions are open to individuals possessing a Recognition of the Status of Disabled Worker (RQTH)

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.