Postdoc: AI-Driven Lab Automation & Materials Discovery

The University of Texas at Austin; Austin (TX); On-site; USD 54,983 - 67,202; Full time

Benefits offered by this job

Competitive health benefits

Generous paid vacation

Tuition assistance

Free access to libraries and museums

Job summary

A leading research institution in Austin is seeking a Postdoctoral Fellow to lead research in agentic AI and autonomous laboratory systems. The role focuses on developing AI frameworks for multi-instrument workflows, collaborating across disciplines, and mentoring graduate students. The position offers a competitive salary, excellent health benefits, and opportunities for professional development. Candidates must have a recent Ph.D. and strong research experience.

Qualifications

• Ph.D. conferred within three years before the start date.
• Strong publication record in peer-reviewed journals.
• Experience with workflow automation and multi-agent systems.

Responsibilities

• Develop agentic AI models for multi-step experimental workflows.
• Integrate AI systems with laboratory control interfaces.
• Publish research and present at conferences.
• Mentor graduate students and research staff.

Skills

Proficiency in Python

Agentic AI frameworks

Control and optimization

Reinforcement learning

Independent research

Communication skills

Collaborative work

Education

Ph.D. in Materials Science, Computer Science, Engineering, or Applied Physics

Job description

A leading research institution in Austin is seeking a Postdoctoral Fellow to lead research in agentic AI and autonomous laboratory systems. The role focuses on developing AI frameworks for multi-instrument workflows, collaborating across disciplines, and mentoring graduate students. The position offers a competitive salary, excellent health benefits, and opportunities for professional development. Candidates must have a recent Ph.D. and strong research experience.