Postdoctoral Research Associate
Texas A&M AgriLifeAbout the role
Job Title
Postdoctoral Research AssociateAgency
Texas A&M Agrilife ResearchDepartment
DallasProposed Minimum Salary
CommensurateJob Location
Dallas, TexasJob Type
StaffJob Description
About Texas A&M AgriLife
Texas A&M AgriLife is comprised of the following Texas A&M University System members:
- Texas A&M AgriLife Extension Service
- Texas A&M AgriLife Research
- College of Agriculture and Life Sciences at Texas A&M University
- Texas A&M Forest Service
- Texas A&M Veterinary Medical Diagnostic Laboratory
As the nation’s largest most comprehensive agriculture program, Texas A&M AgriLife brings together a college and four state agencies focused on agriculture and life sciences within The Texas A&M University System. 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.
Click here to learn more about how you can be a part of AgriLife and make a difference in the world!
Position Information
We are seeking a postdoctoral position focused on the development and deployment of computer vision and intelligent robotic systems through physics-based simulation, virtual environments, and AI-enabled control, with direct applications in crop production and environmental management in controlled settings such as greenhouses and vertical farms.
Responsibilities:
Implement AI approaches for crop sensing, growth analysis, and stress monitoring, with a strong focus on modeling and interpreting plant-environment interactions for intelligent climate control.
Develop simulation environments and digital twins using tools such as Gazebo, NVIDIA Isaac Sim, or Unity to model the CEA environment as well as robotic perception, navigation, and manipulation tasks.
Design and implement control policies for robotic arms and mobile platforms using reinforcement learning, classical control, and hybrid approaches with sim-to-real transfer in mind.
Lead activities such as design, prototyping, testing, and refinement of robotic systems and automation solutions, including sensor integration and feedback control.
Collaborate with a multidisciplinary team to design and execute research studies, perform data collection and analysis, and contribute to high-impact publications.
Present research findings through presentations at scientific conferences and stakeholder meetings.
Performs other duties as assigned.
Required Qualifications:
Ph.D. degree in Agricultural/Biosystems/Mechanical/Electrical Engineering or closely related fields with expertise in robotics, computer vision, and/or automation.
Demonstrated track record of peer-reviewed publications in areas such as computer vision, robotics, automation, and/or embedded control systems, particularly with applications in agriculture or controlled environment systems.
Ability to multitask and work cooperatively with others.
Preferred Qualifications:
Proficiency in ROS/ROS2, Gazebo, NVIDIA Isaac Sim, or Unity for simulation and deployment.
Experience with reinforcement learning (RL), computer vision, and sim-to-real transfer.
Experience with robotic hardware platforms such as mobile robots, robotic arms, and embedded sensors.
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