Postdoctoral Appointee: Life cycle analysis and recycling analysis
Job posting number: #7153845 (Ref:415999)
Posted: June 7, 2023
Application Deadline: Open Until Filled
A Joint Postdoctoral Appointment is now available between Argonne’s Applied Materials Division (AMD) working with the Materials Recycling Group and the Energy Systems and Infrastructure Analysis Division (ESIA), working with the Systems Assessment Center for a candidate with expertise and experience in recycling process analysis and life cycle analysis (LCA) of decarbonization technologies, such as batteries, fuel cells, and electrolyzers. The candidate should have a good understanding of recycling processes, material sources, and production processes of materials embodied in these technologies, as well as of 2nd-life applications and recycling of batteries, fuel cells, and electrolyzers. A good knowledge of process scale-up, chemical plant design, and/or mining and metallurgy will also be beneficial. The candidate should be familiar with databases, tools, and methodologies relevant to process modeling and LCA. The successful candidate will 1) collect data pertaining to the recycling of decarbonization technologies such as batteries, fuel cells, and electrolyzers, primary production of materials for these technologies, 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 for Argonne’s process modeling/LCA tools, such as GREET and EverBatt to estimate the associated cost and environmental impacts of virgin and recycled materials; 3) write reports and journal articles and present at conferences and workshops to document research findings; and 4) provide analytical support to both Argonne’s Materials Recycling Group (AMD) and Systems Assessment Center (ESIA) on advanced recycling, materials production, and manufacturing technologies.
A recent (0-2 years) Ph.D. Degree in chemical engineering, environmental engineering, industrial engineering, or similar degree.
Knowledge of Microsoft Excel and good computer programming skills.
Experience developing, manipulating, and analyzing large data sets.
Knowledge of process modeling and life cycle analysis.
Understanding of decarbonization technologies, their supply chains, and recycling processes.
Experience working with Argonne’s EverBatt model, GREET model, and BatPaC model.
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.
Job FamilyPostdoctoral Family
Job ProfilePostdoctoral Appointee
Worker TypeLong-Term (Fixed Term)
Time TypeFull time
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