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will be working with ALCF’s technical teams (e.g., AI/ML, Data Science, Performance Engineering) and will focus on collaborative APEX research projects. We are looking to hire four Postdoctoral
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/modelers, and data scientists Position Requirements Recent or soon-to-be-completed PhD (within the last 0-5 years) in field of Materials Science, Chemical Engineering, Chemistry, or a closely related field
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of these systems are insufficient to cover the diversity of human-driven experimental activities. The development of multi-appendage, dexterous robots with embodied intelligence is a key to closing this gap
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data processing and analysis techniques is a plus Strong written and oral communication skills Ability to model Argonne’s core values of impact, safety, respect, integrity, and teamwork Candidates with a
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computational scientists to advance a next-generation, user-friendly, agentic AI platform for automated data analysis, interpretation, and user interactions. The appointment is expected to last two years and the
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-system data, simulation platforms, and digital-twin or real-time environments as appropriate. Collaborate with researchers across power systems, controls, cybersecurity, and AI/ML to develop publications
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Application materials should include: Cover Letter Curriculum Vitae, including a list of publications Research statement outlining interests in relation to the advertised position Qualified candidates will be
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Application Materials Curriculum Vitae (CV) Cover Letter describing research experience and fit for the role Contact information for three references to be sent to Kaitlin Raimondi at PHYHR@anl.gov Job Family
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Curriculum Vitae (CV) Cover Letter describing research experience and fit for the role Contact information for three references Job Family Postdoctoral Job Profile Postdoctoral Appointee Worker Type Long-Term
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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