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field. Solid knowledge, and independent research capability in optimization, computing, power system engineering with track records of publications. Proficient in implementing control and optimization
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engineering, controls and data systems, and internal and external scientific partners. Essential Duties and Responsibilities: Lead preparation of a review-ready engineering specifications document
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the development of AI models for robotic control and the demonstration of these methods via simulation and experiment. Beyond the listed projects, the candidate may contribute to other large-team scientific
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engineering controls such as gloveboxes or hoods is desired, but not mandatory. Ability to model Argonne’s Core Values: Impact, Safety, Respect, Integrity, and Teamwork. Other: To perform the essential
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(HPC): Experience with parallel computing (MPI, OpenMP, CUDA/HIP) or running workflows on supercomputing clusters. Software Engineering: Knowledge of version control (Git), containerization (Docker
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computational research in accelerator science and technology. The focus is on developing and applying machine learning (ML) methods for accelerator operations and beam-dynamics optimization in advanced
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components. Work closely with a beam diagnostics physicist and controls group engineer to install and optimize diagnostic systems. Develop and integrate mmWave diagnostics equipment for beam position
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for autonomous control. Position Requirements Ph.D. completed in the past 5 years or soon-to-be completed in chemistry, chemical engineering, materials science, or a closely related field. The applicant should
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The Vehicle Technology Assessment (VTA) Group within the Vehicle and Mobility Systems at Argonne National Laboratory is seeking to hire a postdoctoral appointee to assess vehicle technologies
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science is desired, but not mandatory. Experience working safely with hazardous materials in engineering controls such as gloveboxes or hoods is desired, but not mandatory. Ability to model Argonne’s Core