Postdoc: AI-Driven Agricultural Robotics

Texas A&M AgriLife Research; Dallas (TX); On-site; USD 65,000 - 80,000; Full time

Benefits offered by this job

Health insurance

Paid holidays

Paid vacation

Retirement plan

Wellness program

Job summary

Texas A&M AgriLife Research – Dallas Center seeks a Postdoctoral Research Associate to advance robotic and automated systems for controlled environment agriculture. The role focuses on computer vision, AI-driven automation, and robotics with hands-on work on hardware and embedded systems.

You will design, test, and deploy sensors, actuators, and control systems, collaborating across disciplines to publish findings and present at conferences.

Qualifications

• Ph.D. in Agricultural, Biosystems, Mechanical, Electrical Engineering, or closely related field.
• Strong background in robotics, automation, and mechatronic systems.
• Peer-reviewed publications in robotics, automation, or embedded control for agriculture.
• Ability to multi-task and work cooperatively with others.

Responsibilities

• Design, build, and integrate robotic and automated systems for greenhouse and vertical farming contexts.
• Lead mechanical, electrical, and mechatronic design activities including CAD and prototyping.
• Integrate sensors and embedded hardware into robotic platforms and automated systems.
• Apply AI approaches for crop sensing, climate control, and growth analysis.
• Collaborate with a multidisciplinary team to conduct studies and publish results.
• Present research findings at conferences and stakeholder meetings.
• Performs other duties as assigned.

Skills

Robotics

Automation

Mechatronic systems

Collaboration

Research publications

Education

Ph.D. in Agricultural, Biosystems, Mechanical, Electrical Engineering, or related field

Tools

CAD

ROS/ROS2

Gazebo

NVIDIA Isaac Sim

Unity

Embedded hardware

Job description

Texas A&M AgriLife Research – Dallas Center seeks a Postdoctoral Research Associate to advance robotic and automated systems for controlled environment agriculture. The role focuses on computer vision, AI-driven automation, and robotics with hands-on work on hardware and embedded systems.

You will design, test, and deploy sensors, actuators, and control systems, collaborating across disciplines to publish findings and present at conferences.