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PhD (within the last 0-5 years) in field of materials science, chemistry, chemical engineering, computer science, or a related field Experience operating and troubleshooting laboratory automation
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of LLMs to accelerators, specifically, use of agentic AI to support intelligent system analysis, aid operator decision-making, automate complex workflows, and enable more adaptive approaches to machine
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, and building reproducible computational pipelines, workflow automation, and data infrastructure that support long-term autonomous laboratory capabilities Share research outcomes through publications
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. We seek a highly motivated candidate to contribute to an interdisciplinary research effort at the intersection of materials science, laboratory automation, and artificial intelligence. This position
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solidified artificial intelligence (AI) as a key science accelerator, especially in concert with automated techniques for sample creation, movement, and evaluation. However, the flexibility and intelligence
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technical reports, publish findings in peer-reviewed journals, and present results at scientific conferences. Position Requirements Recent or soon-to-be-completed PhD (typically completed within the last 0-5