Postdoctoral Appointee: Battery Supply Chain Analyst

The Applied Materials Division (AMD) at Argonne National Laboratory conducts applied research to develop sustainable innovative technologies to improve the efficiency of resource and energy utilization; to minimize our dependence on imported energy; and to enhance our national security.

A Postdoctoral Appointment is now open for a candidate with expertise and experience in techno-economic analysis (TEA) and life cycle analysis (LCA) of lithium-ion batteries and/or recycling. The candidate should have a good understanding of battery recycling technologies, sources and production technologies of battery materials, and/or 2nd life applications of batteries. An understanding of process scale-up and chemical plant design is of importance as well. The candidate should be familiar with databases and analytical models relevant to TEA and LCA, and have a good knowledge of current and future battery technologies. The successful candidate will 1) collect data pertaining to battery recycling, battery materials production, and battery 2nd life applications from open literature and databases, as well as through communications with industries, government agencies, and other collaborators; 2) analyze collected data with Argonne’s EverBatt model to estimate associated cost and environmental impacts; 3) write reports and journal articles to document research findings; 4) Expand, update, and maintain EverBatt; and 5) provide analytical support to Argonne’s ReCell Center.

Position Requirements

• Ph.D. Degree in chemical engineering, environmental engineering, or similar degree.

• Experience with data collection, processing, analysis, and presentation.

• Extensive knowledge of Microsoft Excel and good computer programming skills.

• Knowledge of techno-economic analysis and life cycle analysis.

• Experience working with Argonne’s EverBatt model, GREET model, and BatPaC model.

• Understanding of lithium-ion batteries, their supply chain and recycling processes.

• Knowledge of Aspen Plus or other chemical engineering models.

• Ability to work well within a team of experts in various areas of expertise.

• Skilled in oral and written communications with peers, colleagues, and collaborators.

• A successful candidate must have the ability to model Argonne’s Core Values: Impact, Safety, Respect, Integrity, and Teamwork.

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