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Texas A&M University

Postdoctoral Researcher in Autonomous Robotic Metallurgy and AI-Driven Laboratory Automation Texas A&M University in United States

Degree Level

Postdoc

Field of study

Computer Science

Funding

Available

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Country

United States

University

Texas A&M University

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Keywords

Computer Science
Electrical Engineering
Computer Vision
Python Programming
Digital Twin Technology
Integrable Systems
Industrial Automation
Robotics
Autonomous System
Mechatronics

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About this position

Texas A&M University is recruiting a postdoctoral researcher for the Autonomous Robotic Metallurgist (ARM), an NSF Materials Innovation Platform focused on building a closed-loop, AI-driven laboratory for alloy discovery.

The postdoc will help design and implement the automation system that sits beneath ARM’s campaign layer: the PLC and instrument control, the software that coordinates the stations, and the interfaces that connect experimental execution to higher-level planning. The project spans automated synthesis, thermo-mechanical processing, characterization, and mechanical testing, with experiments selected by Bayesian optimization and then executed across integrated stations.

Working with engineers developing the automated arc melting, rolling, and testing stations, the researcher will contribute from design through commissioning. The role includes defining control, sensing, and safety requirements; creating software that converts experimental plans into coordinated instrument actions; building APIs and data schemas for monitoring progress and handling partial or failed runs; and maintaining PLC programs and HMIs for the processing and testing equipment.

The position also involves connecting the PLC layer to Python-based control software through industrial communication protocols, designing and commissioning robotic sample transfer between stations, and developing AI/ML-enabled methods for control, scheduling, and error recovery. Simulation and digital-twin testing are part of the workflow before hardware deployment, and the work is closely tied to unattended operation of high-temperature and high-force equipment.

The appointment is embedded in Texas A&M Engineering and the Department of Materials Science & Engineering, with a strong emphasis on collaborative system building, experimentation, and publication. The postdoc is expected to mentor students, contribute to proposals, and present results in journals and conferences.

Funding details

Available

What's required

Doctoral degree is required. A Ph.D. in Robotics, Mechatronics, Electrical Engineering, or a closely related field such as mechanical, computer, or controls engineering is preferred and should be conferred by the start date. Helpful qualifications include demonstrated experience designing and integrating automated systems with hardware, sensors, and control software; hands-on PLC programming and HMI development; experience with industrial communication protocols, motion controllers, data acquisition systems, or robot controllers; proficiency in Python; a record of peer-reviewed publications; experience with AI/ML-based control; experience with autonomous laboratories or Bayesian optimization; ROS/ROS2 and robot arms; safety PLCs and functional safety practice; digital twins or simulation-based testing; computer vision; and experience with high-temperature or high-force equipment.

How to apply

Apply through the Texas A&M Workday application link. Submit a resume/CV, three work references with contact information, and a letter of interest if requested. Ensure all required application data is entered or the submission may be rejected.

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