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for this postdoctoral position to work on development and scaling of the data infrastructure and software for AI applications on supercomputing systems and AI testbed systems. The postdoc will work on multimodal data
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applying machine learning or other elements of artificial intelligence to solving significant scientific or engineering problems Interest in software development, with particular emphasis on the Python
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scientific workflows, ideally combining AI and traditional simulations. Experience with scientific computing and software development on HPC systems. Ability to conduct independent research and demonstrated
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databases Collaborate closely with experimental teams to inform model development and interpret results Contribute to software development, documentation, and reproducible workflows Disseminate findings
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frameworks such as PyTorch or TensorFlow Experience with the software stack used at AWA: PyEPICS, GitHub, NumPy, SciPy, Matplotlib Strong experimental skills, curiosity, and initiative in research projects Job
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expertise combining AI and computational chemistry software in HPC platforms for materials science discovery research. Effective written and oral communication skills. Ability to model Argonne's core values
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BatPaC model Understanding of resource recovery technologies, supply chain analysis and upstream and downstream processes Knowledge of Aspen Plus or other chemical process simulation software. Ability
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the preparation of proposals and participating in sponsor interactions. Applies the models to selected case studies. Document and publish to our internal software repository. Supports multidisciplinary teams in
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(HPC) environments and large-scale data management. Experience with version control (e.g., Git) and collaborative software development practices. Experience with real-time analysis and instrument control
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. Familiarity with total scattering/PDF techniques and related software. Hands-on experience with lasers, timing/synchronization, or detector systems. Scientific programming skills (e.g., Python) for data