Dear DSSAT Researchers,

We would greatly appreciate your help in distributing this announcement (see below) for a Postdoctoral Research Position on UAV-Based High-throughput Phenotyping and Modeling at the Texas A&M AgriLife Research Center in Beaumont.

Application link: https://tamus.wd1.myworkdayjobs.com/en-US/AgriLife_Research_External/job/Beaumont-AL-RSCH/Postdoctoral-Research-Associate-on-UAV-based-high-throughput-crop-phenotyping-and-modeling_R-045601

With best regards,

Yubin Yang
Texas A&M  AgriLife Research Center
1509 Aggie Drive
Beaumont, Texas 77713
Phone: (409) 245-8628
Email: [log in to unmask]

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Postdoctoral Research Position on UAV-Based High-throughput Phenotyping and Modeling
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The Texas A&M AgriLife Research Center at Beaumont is seeking candidates for a Post-Doctoral Research Associate on UAV-based high-throughput crop phenotyping and modeling. This multi-year, limited-term position is available immediately. Continuation of employment is contingent upon availability of fund and satisfactory performance, up to a maximum of three years. The appointment will be supervised jointly by Drs. Yubin Yang, Stanley Omar Samonte, Fugen Dou, Lloyd T. Wilson, and Tanumoy Bera.
The candidate will be involved in a research project on developing a Digital Rice Selection System that integrates UAV imaging, machine learning, and multi-trait decision-making. The candidate will be involved in all aspects of this project, including planting and management of field experiments, ground-truth data collection and analysis, UAV flight operations, image processing and machine learning, and development of the integrated Digital Rice Selection System, as well as preparation of manuscripts for publication and research proposal writing. A high level of productivity for peer-reviewed publications is expected. The candidate will have the opportunity to work closely with a team of scientists in agronomy, soil and plant nutrition, plant breeding, crop and cropping system modeling, and computer science.
The minimum qualifications are an earned Ph.D. in soil science, agronomy, biology, or a similar field from an accredited institution. Candidates should have a strong interest in digital agriculture research. The successful candidate must be able to work independently and as part of an integrated team, possess excellent written and interpersonal communication skills, and possess a high level of analytical, statistical, organizational and planning skills. A valid Texas Driver's License is required. The candidate must meet eligibility requirements for work in the U.S. by the start date and continue working legally for the proposed term of employment.
Application: Applicants must complete an online application process at the following link: https://tamus.wd1.myworkdayjobs.com/en-US/AgriLife_Research_External/job/Beaumont-AL-RSCH/Postdoctoral-Research-Associate-on-UAV-based-high-throughput-crop-phenotyping-and-modeling_R-045601 and attach the following: 1) a cover letter, 2) current vita, and 3) selected publication reprints. When prompted during the online application process, please provide the names, phone numbers and email addresses of three references. Only complete application materials will be considered for review. Review of applications will begin on January 27, 2022 and continue until the position is filled.
For questions regarding the position, please contact Dr. Yubin Yang ([log in to unmask]<mailto:[log in to unmask]>).