Battery Simulation Expert

Battery Simulation Expert

Key Responsibilities

• Develop simulation codes for battery models that cover electrochemical, thermal, mechanical, and abuse scenarios, integrating data-driven approaches with lab and field test data. Special focus is given to the unique properties of silicon/graphite anodes.
• Create frameworks to predict nonlinear aging behaviors in batteries, specifically addressing the rapid loss of active silicon in silicon-graphite electrodes.
• Extend battery lifespan through optimization techniques that combine electrochemical models and machine learning.
• Monitor advancements and research trends in battery longevity prediction within Europe, and support maintaining strong collaborative ties with universities.

Qualifications

• Must have studied in fields such as battery research, energy storage, material science, mechanical engineering, physics, chemistry, electrochemistry, or similar areas, with a Master’s degree required and a Ph.D. preferred.
• Proficient in mathematical modeling of electrochemical cell behavior using partial differential equations (PDEs) or systems of ordinary differential equations (ODEs).
• Knowledgeable about electrode swelling and thermal runaway mechanisms.
• Skilled in at least one major programming language such as Python, Matlab & Simulink, Comsol, finite elements, or finite volume tools.
• Fluent in English, both written and spoken, with strong communication skills and the ability to adapt to multicultural environments.