A graduate research assistantship is available for a project involving the development of automated, in-situ soil sensors and automated root-imaging cameras. The assistantship is part of a multi-institutional, NSF-funded project. The primary responsibilities of the successful candidate will involve: 1) building and calibrating minirhizotron-based planar optode oxygen sensors, 2) developing an automated minirhizotron camera system capable of imaging planar optodes and roots, and 3) oversee testing of and experimentation with the system under lab and field conditions. The successful candidate will work closely with Dr. Colby Moorberg, Assistant Professor of Soil Science in the Kansas State University Department of Agronomy, and Dr. Niaqian Zhang, Professor in the Kansas State University Biological and Agricultural Engineering Department on the Kansas State University campus in Manhattan, Kansas. The successful candidate will work as part of an interdisciplinary, collaborative team involving soil scientists, biological and agricultural engineers, agronomists, and environmental engineers. The candidate will complete coursework necessary for a M.S. degree in Agronomy with a thesis topic related to soil science, plant roots, and soil sensor development.
B.S. in Biological and Agricultural Engineering, Soil Science, Agronomy, or closely related discipline. Interest, knowledge, and experience in robotics and coding in Python are highly desirable for this position. Demonstrated proficiency in course work, excellent communication skills, and the ability to work effectively in interdisciplinary teams are necessary.
Internal Number: GRA Position #528 – Soil
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