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Agricultural and Biological Engineering

Agricultural and Biological Engineering

Available Positions

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  • Ph.D. Assistantship - Big Data Analytics

    Ph.D. Assistantship - Big Data Analytics

    A Ph.D. assistantship is available in the Agriculture & Biological Engineering Department at the University of Florida to investigate and apply strategies for enhancing the intelligence in managing various agricultural and natural resource systems using big data analytics. The tentative directions include, but are not limited to, assessment of climate change impacts, automated farming systems, autonomous machinery, Quality Assurance and Quality Control (QAQC) for IoT networks, etc. This is an opportunity to be at the forefront of applying sophisticated data management platform and data-driven decision making in urban and rural agricultural systems.

  • Postdoc for Soil-Water-Plant System Modeling

    Postdoc for Soil-Water-Plant System Modeling

    Agricultural and Biological Engineering (ABE) Department and Southwest Florida Research and Education Center, University of Florida (UF), seeks a post-doctoral associate to work on a multi-disciplinary project in Florida’s Everglades region to evaluate a new agricultural production system for fresh produce with regards to water and nutrient transport to ground water and surface water, flooding and associated diseases, hurricane damage, plant performance, and labor health.

  • Postdoctoral of Agricultural Engineering (Automation and Robotics)

    Postdoctoral of Agricultural Engineering (Automation and Robotics)

    The Southwest Florida Research and Education Center (SWFREC) is looking for a motivated individual to join the precision ag. engineering team ( as post- doctoral under the supervision of Dr. Yiannis Ampatzidis at University of Florida (Department of Agricultural and Biological Engineering). The postdoc will support engineering activities such as design, test, verification, modification, fabrication and assembly of prototype mechatronic systems. The selected candidate will work in the area of artificial intelligence (AI), mechatronics, machine vision (e.g. disease detection, yield estimation), robotics (including UAVs) and precision farming technologies. Primary responsibilities include developing automated and robotic systems for agricultural applications, designing and implementing research studies, collecting and analyzing data, and assisting the engineering team in preparing research results for publication. Applicants should have excellent verbal and written communication skills and be available for an interview (for questions contact Dr. Ampatzidis at