Postdoc: AI-Driven Autonomous Materials Lab

Rice University

Houston (TX)

On-site

USD 54,000 - 66,000

Full time

8 days ago
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Job summary

Rice University in Houston seeks a Postdoctoral Research Associate to help build AI-enabled, cloud-accessible autonomous laboratories for next-generation electronic and quantum materials. The role integrates materials science, AI for science, experimental automation, and cloud infrastructure to enable remote, secure experimentation.

The successful candidate will bridge AI/digital frameworks with physical synthesis and characterization, mentor students, and publish research on autonomous

Qualifications

  • Ph.D. in Materials Science, or a closely related field.
  • No additional experience beyond graduate research required.

Responsibilities

  • Develops AI/ML frameworks and autonomous workflows for materials synthesis.
  • Connects AI frameworks with synthesis and characterization instruments via APIs and data pipelines.
  • Designs a web-based UI and cloud framework for secure remote access to READINESS infrastructure.
  • Mentors graduate students and publishes research on AI-enabled autonomous experimentation.

Skills

AI/ML applications
Experimental materials science
Python programming
Interdisciplinary communication
Leadership

Education

PhD in Materials Science

Job description

Rice University in Houston seeks a Postdoctoral Research Associate to help build AI-enabled, cloud-accessible autonomous laboratories for next-generation electronic and quantum materials. The role integrates materials science, AI for science, experimental automation, and cloud infrastructure to enable remote, secure experimentation.

The successful candidate will bridge AI/digital frameworks with physical synthesis and characterization, mentor students, and publish research on autonomous

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