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PhD Position in Sensor-Based District-Scale Irrigation Management for Cotton Oklahoma State University in United States
Degree Level
PhD
Field of study
Computer Science
Funding
Three years of committed funding, tuition remission, benefits, and a 12-month appointment. Conference travel and professional development opportunities are included.
Country
United States
University
Oklahoma State University

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About this position
Oklahoma State University’s Biosystems and Agricultural Engineering group (IRL BAE) is recruiting a PhD student for a newly funded project in sensor-based district-scale irrigation management for irrigated cotton in Southwest Oklahoma.
The research focuses on deploying soil moisture sensors and canopy temperature sensors across the Lugert-Altus Irrigation District, working with about 50,000 irrigated cotton acres to answer practical water-management questions: when to start the first irrigation and when to stop the last one. The student will help build a decision-support tool used by the district manager to time water releases.
Planned work includes instrumenting working farms, collecting season-long sensor and crop data, running pyfao56 and AquaCropOS, publishing results, and presenting findings directly to producers. The project is strongly applied and field-based, with a mix of agricultural engineering, precision agriculture, water resources, modeling, and data analysis.
Funding is described as three years committed with tuition remission, benefits, a 12-month appointment, conference travel, and professional development opportunities in a growing research group.
Eligibility highlights: the post asks for a BS+MS in biosystems/agricultural engineering or related fields; experience with sensors, Python, or GIS is a plus. The post also notes that summers in a cotton field are part of the job.
No deadline or application link is provided in the post.
Funding details
Three years of committed funding, tuition remission, benefits, and a 12-month appointment. Conference travel and professional development opportunities are included.
What's required
Applicants should have a BS+MS in biosystems/agricultural engineering or a closely related field. Experience with sensors, Python, or GIS is a plus. The role includes summer fieldwork in cotton fields and working with season-long sensor and crop data.
How to apply
Share the post and watch for the application details if interested. The announcement does not provide a direct application portal or email in the text.
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