Postdoctoral Fellow - Transmission Electron Microscopy, Texas Materials Institute, Cockrell School of Engineering
Core
Lead research in AI-driven and self-driving transmission electron microscopy (TEM) to develop intelligent electron microscopy systems integrating machine learning, robotic control, and real-time data analysis for autonomous imaging and interpretation of complex materials.
Role type
Postdoctoral Fellow (Research Scientist)
Builds
Next-generation AI-integrated microscopy systems and autonomous materials discovery workflows
Domain
Materials Science / Electron Microscopy / AI & Robotics
Deliverable
production ML models
Required skills
Transmission Electron Microscopy (TEM), Machine Learning, Deep Learning, Computer Vision, Robotic Control, Materials Characterization, Python/C++ (implied by ML/Robotics), Experimental Design
Preferred skills
None explicitly stated
Technologies
TEM, Cloud-based platforms, Digital Twins, Robot arms
Responsibilities
Develop self-driving TEM workflows integrating ML and automated control; Advance AI-assisted image interpretation for atomic structure and defect recognition; Integrate TEM operations with robotic sample handling systems; Collaborate on high-throughput sample transfer pipelines; Develop sample preparation methods for microdroplet-printed materials; Link real-time TEM data to AI platforms for adaptive control; Publish high-impact research and mentor graduate students.
Seniority
Postdoctoral Fellow (Early-career researcher)
