Agrilife Research

Agrilife Research

Postdoctoral Research Associate

Dallas, TX · Contract

Sponsorship not specified$12k-$15kDetected 30 days ago
Computer VisionEmbedded SystemsRoboticsMechanical DesignElectrical EngineeringHardware DesignControlsUnityResearchPublic SpeakingActuators

About the role

  • With over 5,000 employees and a presence in every county across the state, Texas A&M AgriLife is uniquely positioned to improve lives, environments and the Texas economy through education, research, extension and service.
  • The candidate will primarily work in one or more of the following areas: computer vision, AI-driven automation, and/or robotics for greenhouses and vertical farming systems.
  • The position involves hands-on work with robotic platforms, sensors, actuators, and embedded systems, as well as system-level testing and deployment.

Responsibilities

  • Design, build, and integrate robotic and automated systems, including end-effectors, manipulators, and sensor-actuator networks.
  • Lead mechanical, electrical, and mechatronic design activities, including CAD design, prototyping, fabrication, and system assembly.
  • Implement AI approaches for crop sensing, growth analysis, stress monitoring, and interpreting plant-environment interactions for intelligent climate control.
  • Collaborate with a multidisciplinary team to design and execute research studies, perform data collection and analysis, and contribute to high-impact publications.
  • Performs other duties as assigned.

Requirements

  • Demonstrated track record of peer-reviewed publications in areas such as robotics, automation, and/or embedded control systems, particularly with applications in agriculture systems.
  • Ability to multi-task and work co-operatively with others.
  • Applicants are subject to a criminal history investigation, and employment is contingent upon the institution's verification of credentials and/or other information required by the institution's procedures, including the completion of the criminal history check.

Nice to have

  • Hands-on experience with robotic hardware, including mobile robots, robotic arms, and automated systems.
  • Proficiency in mechanical design and prototyping (CAD, fabrication, rapid prototyping).
  • Experience with embedded systems, motor control, and sensor integration.
  • Proficiency in ROS/ROS2, Gazebo, NVIDIA Isaac Sim, or Unity for simulation and deployment.
  • What You Need to Know
  • Applicant Instructions: Applications received by Texas A&M AgriLife must either have all job application data entered or a resume attached.
  • Failure to provide all job application data or a complete resume could result in an invalid submission and a rejected application.
  • We encourage all applicants to upload a resume or use a LinkedIn profile to prepopulate the online application.

Compensation

  • Compensation for this position is commensurate based on the selected candidate's qualifications.
  • 12-15 days of annual paid holidays

Benefits

  • computer vision, AI-driven automation, and/or robotics for greenhouses and vertical farming systems.
  • The successful candidate will focus on robot hardware development, automation system design, machine vision, and intelligent control, supported by physics-based simulation and AI-enabled methods.
  • Health, dental, vision, life and long-term disability insurance with Texas A&M AgriLife contributing to employee health and basic life premiums
  • Up to eight hours of paid sick leave and at least eight hours of paid vacation each month
  • Automatic enrollment in the Teacher Retirement System of Texas
  • Employee Wellness Initiative for Texas A&M AgriLife
  • In addition, Texas A&M AgriLife offers a comprehensive benefit package including the following:
  • Texas A&M Veterinary Medical Diagnostic Laboratory

Company info

  • Click here to learn more about how you can be a part of AgriLife and make a difference in the world!

Equal opportunity

  • Equal Opportunity/Veterans/Disability Employer.

This listing is sourced directly from Agrilife Research's careers page and normalized into a canonical job model.