The University of Texas at Austin · 1 month ago
Postdoctoral Fellow - Transmission Electron Microscopy, Texas Materials Institute, Cockrell School of Engineering
Austin, TX
Full-time
Onsite
Senior Level
$61K/yr - $61K/yrThe University of Texas at Austin is a top-10 engineering school known for its leadership in technology innovation and engineering education. The Postdoctoral Fellow will lead research in AI-driven transmission electron microscopy, focusing on developing intelligent microscopy systems that leverage machine learning and robotic control for advanced materials characterization.
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Responsibilities
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 models
Integrate TEM operations with robotic sample handling, including the design, testing, and deployment of a robot-arm–based 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 structure–property 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 Institute’s 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
Qualification
Required
Ph.D. in Materials Science, Engineering, Physics, Chemistry, or a closely related field, conferred within three (3) years before the start date of the appointment
Demonstrated experience conducting independent research in a relevant area of materials science or engineering
Strong publication record in peer-reviewed journals
Excellent written and verbal communication skills
Ability to work collaboratively in an interdisciplinary research environment
Commitment to mentoring and contributing to the academic development of graduate and undergraduate students
Benefits
Competitive health benefits (employee premiums covered at 100%, family premiums at 50%)
Voluntary Vision, Dental, Life, and Disability insurance options
Generous paid vacation, sick time, and holidays
Teachers Retirement System of Texas, a defined benefit retirement plan, with 7.75% employer matching funds
Additional Voluntary Retirement Programs: Tax Sheltered Annuity 403(b) and a Deferred Compensation program 457(b)
Flexible spending account options for medical and childcare expenses
Robust free training access through LinkedIn Learning, plus professional conference opportunities
Tuition assistance
Expansive employee discount program, including athletic tickets
Free access to UT Austin's libraries and museums with staff ID card
Free rides on all UT Shuttle and Austin CapMetro buses with staff ID card
Company
The University of Texas at Austin
The University of Texas at Austin is one of the largest public universities in the United States.
Founded in 1922
10001+ employees
H1B Sponsorship
The University of Texas at Austin has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
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2025 (282)
2024 (210)
2023 (175)
2022 (186)
2021 (187)
2020 (190)
Funding
Current Stage
Late StageTotal Funding
unknownKey Investors
Republic Capital Group
2022-09-14Series Unknown
Leadership Team
Will Whiting
Chief Development Officer
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