Postdoctoral Fellow - TMI, Agentic AI, Texas Materials Institute, Cockrell School of Engineering
Core
Develop agentic AI models and orchestration frameworks to coordinate scientific instruments for autonomous materials discovery and characterization.
Role type
Postdoctoral Fellow in Agentic AI and Autonomous Laboratory Systems
Builds
Closed-loop self-driving laboratory systems integrating machine learning, real-time data analysis, and tool-use APIs for materials design and synthesis.
Domain
Materials Science / Computer Science / Robotics / Autonomous Systems
Deliverable
production ML models
Required skills
Python, modern ML and agentic AI frameworks, control theory, optimization, reinforcement learning, multi-agent systems, independent research leadership, peer-reviewed publication record
Preferred skills
Experience with digital twins, physics-based simulations, surrogate ML models, electron microscopy, liquid-phase synthesis
Technologies
Python, ML frameworks, instrument control APIs, laboratory scheduling systems, data acquisition interfaces
Responsibilities
Develop agentic AI models for multi-step experimental workflows; Integrate AI systems with instrument control and data acquisition interfaces; Build and refine digital twins for synthesis workflows; Collaborate with experimentalists and theorists; Publish high-impact research and present at conferences; Mentor graduate students and research staff; Define architecture for next-generation autonomous laboratories
Seniority
Postdoctoral Fellow, independent researcher with mentorship duties