BatAI, a product of EApps Global, is revolutionizing battery performance management with smart, data-driven analytics. Founded in October 2024, BatAI builds on EApps Technologies’ decade-long expertise in IT consulting and product innovation.
About the Role
We are seeking a Senior Battery Modeling Engineer to lead the development of multiscale physics-based models of lithium-ion batteries. This role is ideal for someone passionate about combining electrochemistry, thermal dynamics, material science, and computational modeling to advance next-generation battery technologies. You will collaborate with cross-functional teams across testing, data science, and implementation to ensure models are validated and deployed effectively for real-world applications.
Key Responsibilities
- Develop physics-based, multiscale electrochemical and thermal models for lithium-ion batteries.
- Model and simulate electrochemical processes, heat generation, transport, and degradation mechanisms.
- Apply numerical methods, optimization techniques, and emerging methods (e.g., Physics-Informed Neural Networks / PINNs) for solving complex electrochemical models.
- Reduce the order of high-fidelity models for embedded implementation and real-time applications.
- Apply fundamentals of chemical reaction engineering, material science, and heat transfer to simulate battery formation, performance, and safety tests.
- Validate models by extracting and analyzing data using SQL, Python, or similar tools.
- Ensure best practices in model version control, documentation, and reproducibility.
- Work closely with product, testing, and data science teams to integrate models into products and workflows.
Required Qualifications
- PhD + 2 years, Master’s + 3 years, or Bachelor’s + 5 years of relevant work experience in chemical, mechanical, or thermal engineering (or related fields).
- Strong expertise in electrochemical modeling, chemical reaction engineering, and transport/thermal simulations.
- Proficiency with numerical methods and optimization techniques.
- Hands-on experience with Python, SQL, or equivalent data analysis tools.
- Familiarity with model order reduction techniques and embedded systems implementation.
- Experience in model validation against experimental data.
- Excellent communication and documentation skills to collaborate across teams.
Preferred / Nice-to-Have Skills
- Experience with machine learning and PINN-based solvers for physical systems.
- Knowledge of finite element (FEM) or finite volume (FVM) simulation tools (e.g., COMSOL, Ansys, OpenFOAM).
- Familiarity with battery management systems (BMS) or safety modeling.
- Experience working in Agile R&D environments.
- Knowledge of cloud computing or HPC environments for large-scale simulations.
What We Offer
- Opportunity to contribute to cutting-edge battery innovation in a fast-growing sector.
- Collaborative and multidisciplinary work environment.
- Competitive salary and benefits.
- Professional development and growth opportunities.
