TTU Post Doctoral Research Associate Digital & Data 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

• 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, root-zone water content, plant nitrogen status, yield, and related physiological parameters.
• Coordinate 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.