Postdoctoral Researcher – Electrochemical Energy Storage Modeling; BatPaC

Under the guidance of a supervisor, the Postdoctoral Researcher will conduct research in electrochemical energy storage to support the Battery Performance and Cost (BatPaC) modeling team. The researcher will develop and apply physical, chemical, and electrochemical models for advanced battery technologies and associated manufacturing processes. This work will quantify and explain relationships among material properties, electrochemical performance, and battery system cost at the material, cell, and pack levels.

• Develop, validate, and apply multi-physics and electrochemical models for battery performance and degradation as applicable.
• Model manufacturing and processing steps relevant to battery cost estimation and scale-up.
• Integrate models across platforms and workflows; manage inputs/outputs and ensure reproducibility.
• Analyze simulation and experimental datasets; extract insights and quantify sensitivities and uncertainties where appropriate.
• Prepare manuscripts, conference presentations, and documentation for group meetings and sponsor deliverables.
• Collaborate within a multidisciplinary, team-based research environment.

• Recent or soon-to-be completed PhD (within the last 0-5 years) in Chemistry, Chemical Engineering, Mechanical Engineering, Materials Science, Electrochemistry, or a related field.
• Strong foundation in electrochemistry, electrochemical engineering, and chemical processing.
• Demonstrated experience in mathematical modeling of electrochemical systems; knowledge of solid mechanics is beneficial.
• Experience with chemical process/plant modeling and cost analysis methodologies.
• Experience linking models across software platforms and managing coupled workflows.
• Proven ability to process, analyze, and interpret modeling and/or experimental results.
• Strong skill in problem formulation and translating research questions into quantitative modeling approaches.
• Excellent written and oral communication skills, including scientific publications and presentations.
• Experience with experimental cell characterization (e.g., performance testing and related diagnostics).
• Demonstrated ability and motivation to work collaboratively in a team setting.
• Ability to model Argonne’s core values of impact, safety, respect, integrity, and teamwork.

As an equal employment opportunity employer, Argonne National Laboratory is committed to a safe and welcoming workplace that fosters collaborative scientific discovery and innovation. All qualified applicants are considered regardless of protected characteristics.