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Texas A&M University

Postdoctoral Research Associate in Controlled Environment Agriculture Engineering Texas A&M University in United States

Degree Level

Postdoc

Field of study

Computer Science

Funding

Available

Country flag

Country

United States

University

Texas A&M University

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Keywords

Computer Science
Agriculture
Mechanical Engineering
Electrical Engineering
Artificial Intelligence
Computer Vision
Automation
Robotics
Controlled Environment Agriculture
Embedded System
Mechatronics
Intelligent Control

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About this position

Texas A&M AgriLife Research – Dallas Center is recruiting a postdoctoral researcher to join the Controlled Environment Agriculture (CEA) Engineering Lab. The role is centered on developing and integrating advanced robotic and automated technologies for greenhouse and vertical farming systems, with a strong emphasis on practical engineering and system deployment.

The selected researcher will work across computer vision, AI-driven automation, and robotics, contributing to robot hardware development, automation system design, machine vision, and intelligent control. The position combines hands-on experimentation with robotic platforms, sensors, actuators, and embedded systems with system-level testing, deployment, and research translation.

Research activities include designing and building robotic and automated systems, integrating end-effectors, manipulators, sensor-actuator networks, and embedded hardware, and supporting crop sensing, growth analysis, stress monitoring, and plant-environment interpretation for intelligent climate control. The postdoctoral associate will also collaborate with a multidisciplinary team, help execute research studies, analyze data, contribute to high-impact publications, and present findings at conferences and stakeholder meetings.

The environment is strongly applied and interdisciplinary, within Texas A&M AgriLife Research in Dallas and its CEA Engineering Lab, bringing together agriculture, robotics, automation, and AI-enabled methods for controlled-environment crop production.

Funding details

Available

What's required

A Ph.D. in Agricultural, Biosystems, Mechanical, Electrical Engineering, or a closely related field is required. The candidate should have a strong background in robotics, automation, and mechatronic systems, a demonstrated record of peer-reviewed publications in robotics, automation, and/or embedded control systems with agricultural applications, and the ability to multitask and work cooperatively with others. Preferred qualifications include hands-on experience with robotic hardware, mobile robots, robotic arms, and automated systems; proficiency in mechanical design and prototyping such as CAD, fabrication, and rapid prototyping; experience with embedded systems, motor control, and sensor integration; and proficiency with ROS/ROS2, Gazebo, NVIDIA Isaac Sim, or Unity for simulation and deployment.

How to apply

Apply through the Workday application link provided for Texas A&M AgriLife Research. Complete all application data or attach a full resume; incomplete submissions may be rejected. You may upload a resume or use a LinkedIn profile to prepopulate the online application.

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