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The ALCF has an opening for a postdoctoral position in AI-assisted scientific visualization and intelligent data exploration. The successful candidate will join the Visualization and Data Analytics
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storage systems under the guidance of a supervising scientist. The successful candidate will play a leading role in the synthesis, characterization, and performance evaluation of advanced layered oxide
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at scientific meetings Collaborating closely with scientists in the broad Earth system Science community and with industry partners Position Requirements Required Qualifications: Ph.D. (typically completed within
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, we encourage applicants to consider how their data processing and software development capability fits into the proposed work and future direction. The Postdocs will be working directly with assigned
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, we encourage applicants to consider how their data processing and software development capability fits into the proposed work and future direction. The Postdocs will be working directly with assigned
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computational scientists, economists, engineers, and other researchers to develop data-driven, decision-relevant analytical tools for complex industrial systems. Key Responsibilities: Develop, improve, and apply
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. The postdoctoral researcher will work closely with scientists at the Materials Science Division and the Advanced Photon Source (APS) as well as collaborate with external partners to exploit state-of-the-art
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optimization schemes. From developing AI models to uncover structure-function relationships with limited data sets, to building automated electrode-electrolyte interface discovery workflows and implementing full
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work independently and conduct research in a highly interdisciplinary environment of chemists, physicists, and materials scientists. The role will require the individual to work with experimentalists
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(NUCLEI); and two Topical Collaborations: 1) 3D quark-gluon structure of hadrons: mass, spin, and tomography, and 2) Nuclear Theory for New Physics. Further information on our group and its research