Role Summary
We are hiring a Senior battery cell simulation engineer to lead physics-based modelling and simulation for rechargeable battery cells (e.g.,Li-ion and/or Na-ion). This role will drive model development, validation, and deployment to accelerate cell design iterations, improve performance and safety, and enable data-driven decisions across R&D and manufacturing. Apart from simulation, you will be involved in hands-on laboratory activities to support failure analysis and root-cause investigations by connecting field/test symptoms to underlying electrochemical, thermal, and mechanical mechanisms through modelling and data analytics. You will partner with cross-functional stakeholders while owning key modelling deliverables.
Key Responsibilities
- Own end-to-end development of battery models (electrochemical, thermal, and/or mechanical) across cell and component levels define modelling roadmap aligned with product goals.
- Build, calibrate, and validate models using experimental datasets (OCV-SOC, HPPC, GITT, EIS, cycling/aging, thermal characterization) quantify model accuracy and limitations.
- Lead parameter identification, sensitivity analysis, and uncertainty quantification establish robust workflows for repeatable fitting and regression testing.
- Conduct simulation-driven trade studies and optimization for electrode and cell design (loading, porosity, thickness, N/P, electrolyte properties, tab/current collector, thermal pathways). Drive experimental DOEs and participate in laboratory activities.
- Investigate critical operating scenarios (fast charge, high-power pulses, low/high temperature, duty-cycle profiles) and translate results into actionable engineering recommendations.
- Perform failure analysis and root-cause studies for abnormal behaviours, integrating simulation outputs with test and teardown findings.
- Support containment and corrective actions by translating model insights into test plans, design/process changes, and risk mitigation recommendations.
- Develop scalable simulation workflows and automation (Python/MATLAB), including pre/post-processing pipelines, reporting templates, and integration with test databases where applicable.
- Collaborate with testing, materials, process, and quality teams to design validation plans and close modelling gaps guide experiment design to improve identifiability of key parameters.
- Produce clear technical documentation (model assumptions, governing equations, boundary conditions, parameter sets, verification/validation reports) and present findings to technical and non-technical stakeholders.
Required Qualifications
- Bachelor's/Master's/PhD in Chemical Engineering, Mechanical Engineering, Materials Science, Electrochemistry, or related discipline.
- 1-3 years (or equivalent) of experience in battery modelling/simulation, multiphysics modeling, or electrochemical system modeling in industry or advanced research.
- Experience translating test observations into plausible failure mechanisms is a strong plus.
- Strong knowledge of battery fundamentals: porous electrode theory, reaction kinetics, transport phenomena, SOC/OCV behavior, polarization, heat generation, and practical test methods.
- Hands-on expertise with one or more simulation platforms (e.g., COMSOL Multiphysics preferred ANSYS/Abaqus/STAR-CCM+/GT-SUITE or similar).
- Proficiency in Python and/or MATLAB for data processing, parameter fitting, automation, and visualization.
- Proven ability to work cross-functionally and drive outcomes in ambiguous problem spaces strong communication and stakeholder management skills.
Preferred Qualifications
- DFN/P2D modeling, 3D electrode/electrolyte transport, coupled electro-thermal modeling, and/or thermal management design.
- Battery degradation and lifetime modeling (SEI growth, lithium plating, LAM/LLI, impedance growth) and lifetime prediction methods.
- Experience with battery failure analysis workflows, including interpretation of HPPC/EIS signatures, post-mortem/teardown results, and linking them to model-based hypotheses.
- Familiarity with safety and reliability topics such as thermal runaway precursors, internal short risks, gas generation/swelling, and mechanical/electrochemical coupling under abuse or constrained conditions.
- Experience with advanced chemistries (solid-state/gel polymer electrolytes, Li-metal, high-voltage cathodes, silicon/LMO/NMC, Na-ion).
- Familiarity with optimization/DoE, surrogate modeling, reduced-order models, and model deployment for engineering workflows.
- Experience building internal tools, model libraries, and standardized validation pipelines.
Location
CleanTech One, 1 Cleantech Loop, #02-01, Singapore 637141
