Postdoctoral Fellow - Tmi, Agentic Ai, Texas Materials Institute, Cockrell School Of Engineering
University of Texas at Austin
Austin, Texas, US
$61,093 py
Develop agentic ai models
Autonomous laboratory systems
Python and modern ml frameworks
The Postdoctoral Fellow will lead research in agentic AI and autonomous laboratory systems as part of the advanced materials characterization and discovery initiatives within the Texas Materials Institute (TMI)
Job Summary
The Postdoctoral Fellow will lead research in agentic AI and autonomous laboratory systems as part of the advanced materials characterization and discovery initiatives within the Texas Materials Institute (TMI).
This position is centered on developing AI agents and agentic orchestration frameworks capable of observing, reasoning, planning, and acting across multiple classes of scientific instruments, enabling a fully integrated closed-loop “self-driving laboratory”.
UT Austin provides outstanding employee benefits and total rewards packages that include competitive health benefits, generous paid time off, and a defined benefit retirement plan with employer matching funds.
Matching Summary
The Postdoctoral Fellow will lead research in agentic AI and autonomous laboratory systems as part of the advanced materials characterization and discovery initiatives within the Texas Materials Institute (TMI).
Salary
$61,093
Skills & Requirements
Must-have
Develop agentic AI models
Autonomous laboratory systems
Python and modern ML frameworks
Real-world experimental environments
Interdisciplinary research collaboration
Nice-to-have
AI-driven discovery science
Mentorship of junior researchers
Contribute to proposal development
Key Requirements
Ph.D. in Materials Science, Computer Science, Engineering, Applied Physics, or related field
Ph.D. conferred within three (3) years
Strong proficiency in Python
Experience with control, optimization, or reinforcement learning
Experience with workflow automation / multi-agent systems