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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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with data analysis and technical documentation; and contributing to publications, reports, and sponsor deliverables. The successful candidate will work closely with staff researchers and technical teams
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addition to research activities, the candidate will be expected to play a pivotal role in mentoring students and fellow post-docs on various material-centric projects, fostering an environment of knowledge sharing and
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cheminformatics or polymer informatics, molecular representations, descriptor engineering, RDKit, characterization-informed modeling, multimodal data fusion, interpretable machine learning, NLP, text mining
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, focused ion beam specimen preparation, and computer vision or machine-learning analysis of microscopy datasets. The position requires strong experimental, analytical, written, oral, and interpersonal
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interact within their natural environments. Your Role This position focuses on developing learning-enabled imaging methods to guide data collection and analyze synchrotron datasets, spanning the full
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reaction behavior, taking detailed observations, gathering and analyzing data and contributing to technical reports, publications, presentations, and future proposals. Position Requirements Recent or soon-to
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for next-generation information processing, microelectronics, wireless communication, and quantum information science. Key Responsibilities: Develop terahertz coplanar resonators, including design
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measurement techniques Experience with electromagnetic simulation tools such as Sonnet, Ansys HFSS, Lumerical, or similar platforms Experience with data acquisition, instrument control, and data analysis in
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work within a multidisciplinary team with researchers at MERF and collaborators inside and outside Argonne. The candidate is expected to design and conduct experiments, analyze data and explore