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Argonne National Laboratory is seeking a postdoctoral researcher with expertise in life-cycle analysis, industrial process modeling, and critical minerals and materials assessment. The appointee
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The Nuclear Science and Engineering Division at Argonne National Laboratory seeks a Postdoctoral Appointee to conduct R&D on metallic materials for extreme environments relevant to nuclear energy
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observable material characteristics. Ability to model Argonne's core values of impact, safety, respect, integrity and teamwork. Preferred skills and qualifications: Experience with Diamond PE-CVD synthesis
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The Applied Materials Division (AMD) at Argonne National Laboratory is seeking a Postdoctoral candidate in the area of organic chemistry with focus on battery electrolyte materials. This position
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Argonne National Laboratory in the Applied Materials Division (AMD) at is seeking a Postdoctoral candidate in the Emergent Materials and Processes Group. The candidate will perform basic and applied
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developing advanced AI/ML models for applications in physics, chemistry, or materials science Experience with periodic simulation codes such as VASP Proficiency in Python programming Excellent written and oral
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), microwave engineering, hardware systems (detector setups, electronics, and NMR), or programming for data analysis and system modeling is a plus. Application Instructions Please upload the following materials
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learning (ML) to address future physics and detector challenges. Current physics interests include Standard Model measurements and searches for new phenomena. We welcome applicants who are excited
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Argonne National Laboratory in the Applied Materials Division (AMD) at is seeking a Postdoctoral candidate in the area of organic chemistry and electrochemistry with focus on battery electrolyte
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, dendrite growth, side reactions, delamination, and related behavior in hard and soft materials. A strong emphasis will be placed on the integration of AI methods and agentic workflows into model development