Postdoctoral Fellow - Tmi, Agentic Ai, Texas Materials Institute, Cockrell School Of Engineering
The University of Texas at Austin
Austin, Texas, United States
Base: $61,093; bonus/equity: not specified; benefi...
Ph.d. in materials science or computer science
Strong proficiency in python and ml frameworks
Experience with agentic ai and multi-agent systems
The Postdoctoral Fellow will lead research in agentic AI and autonomous laboratory systems to enable fully integrated closed-loop self-driving laboratories
Job Summary
The Postdoctoral Fellow will lead research in agentic AI and autonomous laboratory systems to enable fully integrated closed-loop self-driving laboratories.
This role involves developing AI agents capable of observing, reasoning, planning, and acting across multiple scientific instruments with minimal human intervention.
The position offers competitive health benefits covering 100% of employee premiums, a defined benefit retirement plan with employer matching, and access to LinkedIn Learning.
Matching Summary
The Postdoctoral Fellow will lead research in agentic AI and autonomous laboratory systems to enable fully integrated closed-loop self-driving laboratories.
Salary
Base: $61,093; Bonus/Equity: Not specified; Benefits: Competitive health (100% employee premium), TRS retirement match, paid vacation
Skills & Requirements
Must-have
Ph.D. in Materials Science or Computer Science
Strong proficiency in Python and ML frameworks
Experience with agentic AI and multi-agent systems
Knowledge of reinforcement learning or workflow automation
Ability to interface with instrument control APIs
Nice-to-have
Experience with electron microscopy or liquid-phase synthesis
Background in physics-based simulations or digital twins
Track record of publishing high-impact research
Interdisciplinary collaboration skills across robotics and chemistry
Mentoring experience for graduate students
Key Requirements
Ph.D. conferred within 3 years before start date
Strong publication record in peer-reviewed journals
Demonstrated independent research experience in relevant field