Job Details

Post Doctoral Research Associate Data Science in Precision Agriculture

Position Number: 6701467
Location: Lubbock, TX
Position Type: Agriculture - Plant and Soil Science

Post Doctoral Research Associate Data Science in Precision Agriculture
Lubbock
42780BR
Plant and Soil Science

Position Description
Performs specialized Post Doctoral work in the planning, conducting and/or supervision of original research. Responsible for participating in a research project associated with PhD studies and the interpretation of the results of publication. Work is performed under supervision of graduate faculty members with evaluation based on accomplishment of assigned objectives and overall effectiveness of project. May supervise research and student assistants.

Major/Essential Functions
A Postdoctoral Research Associate position is available in the Crop Ecophysiology and Precision Agriculture Laboratory at Texas Tech University (Lubbock, TX). This position focuses on the application of remote sensing and data science in precision agriculture to improve the understanding and management of crop growth and water use under variable field conditions. The incumbent will integrate aerial and satellite imagery, in-field sensor data, and environmental measurements to support research in crop water stress monitoring, yield prediction, and site-specific management. The position involves designing experiments, performing statistical and geospatial analyses, developing machine learning models, and contributing to decision-support tools for sustainable crop production. The successful candidate will also mentor students, collaborate with interdisciplinary research teams, and disseminate research findings through publications, reports, and conference presentations.

Design field experiments and perform statistical analyses related to plant nitrogen status, precision nitrogen management, crop water stress monitoring and irrigation optimization.
Collect, organize, and analyze aerial (UAV) and satellite imagery in conjunction with ground-truth plant and soil measurements.
Develop and apply data science and machine learning techniques to predict crop water stress, plant nitrogen status, yield, and related physiological parameters.
Develop into a key contact responsible for coordinating data collection, organization, and analysis across multiple projects involving crop, soil, and environmental monitoring
Advise and train graduate and undergraduate students in spatial data analysis, image processing, and data-driven agricultural decision-making.
Prepare technical reports, author scientific publications, and present research findings at professional conferences and stakeholder meetings.

Required Qualifications
PhD in area of project specialization. Knowledge of modern research practices, the methods, resources, and standards thereof. Ability to organize work effectively, conceptualize and prioritize objectives and exercise independent judgment based on an understanding of organizational policies and activities. Ability to integrate resources, policies, and information for the determination of procedures, solutions and other outcomes. Ability to establish and maintain effective work relationships with other employees and the public. Ability to plan and allocate the workload of employees, providing direct training and supervision as needed.

Preferred Qualifications
Ph.D. in agronomy, or crop science. Demonstrated experience with statistical modeling, remote sensing and image analysis, and programming in Python, or R. Familiarity with machine learning and AI methods for agricultural applications. Demonstrated record of peer-reviewed publications and conference presentations.

Special Instructions to Applicant
This is a two-year position with an available start date of November 15, 2025; however, the start date can be flexible. Applicants must utilize the Texas Tech University job portal to apply. Inquiries can be sent to Dr. Wenxuan Guo (wenxuan.guo@ttu.edu). Please use "Data Science in Precision Agriculture" in the subject line.

Minimum Hire Rate

To apply, visit workattexastech.com

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, genetic information or status as a protected veteran.