83 engineering-computation-"https:"-"https:"-"https:"-"https:"-"https:"-"U.S"-"UCL" positions at Argonne
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enzyme engineering workflows on their respective leadership computing platforms. Key Responsibilities: Design and implement generative AI models and agentic systems capable of scientific reasoning and
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-based experiments, including accelerating gradient tests and breakdown studies of accelerating components. Collaborate with the APS/ASD mechanical engineering group on the fabrication of accelerator
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the past five years or soon-to-be completed in physics, materials science, chemistry, engineering, or a related discipline. Demonstrated expertise in one or more synchrotron X-ray methods such as BCDI, XPCS
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, asphaltenes, resins, and kerogen molecules and contribute to engineering design of upscaled processes. The candidate will be a part of the Applied Materials Division (AMD) within AET at Argonne and will
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-completed PhD (typically completed within the last 0-5 years) in chemical engineering, environmental engineering, or similar degree. Experience with data collection, processing, analysis, and presentation
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Position Requirements Recent or soon-to-be-completed PhD (within the last 0-5 years) in field of Chemistry, Chemical Engineering, Mechanical Engineering, Materials Science, Electrochemistry, or a related
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primary goal of this work is aimed at advancing next-generation, lithium-ion technology through a detailed understanding and mitigation of surface degradation mechanisms that limit state-of-the-art lithium
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ceramic engineering including hands-on, practical laboratory experience with material synthesis and processing, and analytical methods. Hands-on experience: XRD & Refinement, SEM-EDX, TGA-MS, DSC, BET, coin
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years) in Chemical Engineering, Environmental engineering, Bioengineering, or a closely related field, with 0 to 5 years of experience, or the equivalent experience through practical application in a
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programming, interfacing hardware, and developing machine-learning methods highly desirable. The researcher will join an Argonne funded project with interdisciplinary team of material scientists, computer