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) as evidenced by their publications High performance computing (HPC) experience in code development with parallel programming techniques using the message passing interface (MPI) library Proficiency
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systems. In parallel, they will design and develop agentic AI and physics-aware AI models to accelerate discovery and deepen mechanistic insight in catalysis. This work will be carried out in close
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branches of physical sciences, or in math, computer science, and electric engineering who have an interest in accelerator physics will also be considered. Strong programming skills. Proficiency in the
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. Programming expertise in Python or other scientific programming languages is a plus. Excellent oral and written communication skills. Experience with automation, control, and instrument infrastructure. Ability
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the Python programming language and contributions to open-source scientific software Scientific productivity, as demonstrated by publications and conference presentations Effective oral and written
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evaluation of process performance, with opportunities to collaborate with scientists, engineers, and external partners across national laboratory, university, and industrial settings. Key
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performance studies, detector operations, and/or upgrade activities Strong skills in scientific programming, software development, and data analysis Ability to work effectively in a collaborative
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strong programming skills (e.g., Python, Fortran, C++) Knowledge of data analysis techniques and statistical methods Proven scientific writing and oral communication skills Ability to work both
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experience applying them to molecular systems. - Familiarity with scientific programming and data analysis using languages such as Python or Julia, and experience with Linux and high-performance
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, Microsoft Excel and other computer programming skills. Knowledge of process modeling and life cycle analysis. Knowledge of production processes for critical materials and minerals such as lithium, cobalt