Digital Agriculture

The Department of Biological and Agricultural Engineering ( and Texas A&M AgriLife Research Center-Dallas ( are seeking a highly motivated individual to join as a Postdoctoral Research Associate. The selected candidate will work primarily in one of the following areas: artificial intelligence (AI), machine vision, robotics, and/or IoT systems, applied towards automation, autonomous robots, and other digital technologies for controlled environment agriculture (CEA).

Responsibilities will include but are not limited to:
• Developing integrated hardware and software for embedded AI-driven robotic/mechatronic systems for applications in CEA facilities.
• Contributing to implementation and application of novel machine/deep learning methodologies leading to automation of the CEA facilities.
• Support activities such as design, test, verification, modification, fabrication, and assembly of prototype robotic/mechatronic systems
• Designing and implementing research studies, collecting, and analyzing data, and assisting the group in preparing research results for publication.
• Assisting in other projects in the group, write project reports and manuscripts for peer-reviewed publication.
• Presentation (oral and poster) of research results in scientific meetings and conferences

Required Qualifications:
• A Ph.D. degree in Agricultural/Biosystems/Mechanical/Mechatronics/Computer/Electrical Engineering or closely related fields with expertise in machine vision, automation, and/or robotics.
• Good track record of peer-reviewed publications in one of the following areas: machine vision, AI, embedded systems, robotics, autonomous systems, IoT, and/or other digital agriculture technologies.
• Demonstrated experience in one or more programming languages (Python, C/C++, Matlab, etc.,).
• Experience with deep learning models using libraries such as PyTorch, Keras, TensorFlow, etc.
• CAD modeling (SolidWorks), prototyping, and fabrication experience are desired.
• Excellent verbal and written communication skills as demonstrated by published journal articles.
• Strong time-management skills with the ability to work on multiple projects.
• Ability to work with minimal supervision and self-motivated individual.
• Experience working in CEA facilities such as greenhouse, high-tunnel, plant factory, etc., is preferred.

Salary: Commensurate with experience.

Starting Term: Immediately

Application: Interested individuals should email the following to Azlan Zahid at
a) Cover letter detailing the candidate's qualifications and experience relevant to the position, b) Curriculum Vitae with name and contact information of three professional references, c) Any representative publications, and d) Unofficial transcripts. For more details, visit: