A PhD graduate research assistantship is available at the Weed Science Research Laboratory, Texas A&M University, College Station, Texas to develop remote sensing/machine learning solutions for weed detection, classification, and mapping to facilitate precision weed management. The successful applicant will join an interdisciplinary team of researchers and collaborate with GROW (Getting Rid Of Weeds; https://growiwm.org/) and PSA (Precision Sustainable Agriculture; http://precisionsustainableag.org/) networks.
The preferred candidate must hold or be currently working towards an MS degree in a relevant field. Knowledge of various sensors, familiarity with image analysis softwares, a strong interest in precision weed management, an aptitude to quickly learn concepts, and an ability to work as part of a multi-disciplinary team are must.
Application details: Please e-mail your CV, a copy of academic transcript (unofficial), English test scores and contact details of three referees to Dr. Muthukumar Bagavathiannan (email@example.com). Screening of applicants is immediate and the search will continue until a suitable candidate is identified. The position starts in the fall 2020/spring 2021 term; the start date is negotiable. Please e-mail any queries regarding this position to 'firstname.lastname@example.org'.
About Texas A&M - Soil and Crop Sciences
Texas A&M University is committed to enriching the learning and working environment for all visitors, students, faculty, and staff by promoting a culture that embraces inclusion, diversity, equity, and accountability. Diverse perspectives, talents, and identities are vital to accomplishing our mission and living our core values.