Postdoctoral Fellow - Transmission Electron Microscopy,...

Develop and implement self-driving TEM workflows that integrate machine learning, computer vision, and automated microscope control for autonomous imaging, focusing, and data acquisition.Advance AI-assisted image interpretation, including atomic structure recognition, defect classification, and dynamic process tracking using deep-learning and physics-informed tegrate TEM operations with robotic sample handling, including the design, testing, and deployment of a robot-armbased TEM grid-loading and exchange system for continuous, unattended operation.Collaborate with postdoctoral fellows in liquid-phase synthesis and microdroplet printing to establish seamless sample transfer pipelines from synthesis to TEM analysis, enabling high-throughput, correlative characterization.Develop and optimize sample preparation methods compatible with microdroplet-printed thin films, nanoparticle arrays, and electrochemical catalyst systems, ensuring reproducible and contamination-free data.Link real-time TEM data streams to digital twin and AI platforms, using cloud-based computation for adaptive experiment control, hypothesis generation, and structureproperty modeling.Publish high-impact research, present findings at international conferences, and contribute to proposal development for new AI-in-microscopy and autonomous discovery initiatives.Mentor graduate students and research staff, fostering interdisciplinary collaboration between materials science, data science, and robotics.Collaborate with the Texas Materials Institutes instrumentation and AI engineering teams to help define the architecture for next-generation autonomous TEM facilities at UT Austin.Performs other related duties as assigned.

Created: 2026-03-07