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Post Doctoral Research Associate Plant Phenomics & Crop Physiology

PublishedPublished: Published today
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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.

About the University

Founded in 1923, Texas Tech University began with a mission to serve the needs of West Texas, but its impact has always reached far beyond. Today, Texas Tech, located in Lubbock (pop. 300,000+), is home to a vibrant community of more than 42,000 students.Texas Tech's 1,800-acre campus showcases Spanish Renaissance architecture and is home to one of the country's largest public art collections. Its 13 colleges include a prestigious School of Law and a distinguished School of Veterinary Medicine. These programs equip students with the skills and knowledge needed to excel in their respective fields. Built on the values of West Texas - hard work, grit and authenticity - the university graduates students who are deeply engaged in service to their communities and well-positioned to succeed in the world. Texas Tech is committed to achieving research and scholarly accomplishments that compare favorably to the member institutions of the Association of American Universities (AAU). For more than 100 years, Texas Tech has been a premier destination for those seeking a world-class education and a unique, personalized experience as a member of the Red Raider family.

About the Department and/or College

Davis College includes the departments of Agricultural and Applied Economics, Agricultural Education and Communications, Animal and Food Sciences, Landscape Architecture, Natural Resources Management, Plant and Soil Science, and Veterinary Sciences along with multiple research centers and institutes. The College has over 100 tenure-track faculty, 2747 undergraduate and 519 graduate students, numerous other staff employees, and generated approximately $16 million in extramural research funding.

The PSS Department is a comprehensive academic unit conducting research and offering coursework and programs in several areas of plant and soil sciences. There are 36 full-time faculty members and a student body consisting of approximately 180 undergraduate and 140 graduate students. B.S., M.S. and Ph.D. level degrees are offered in Plant and Soil Science. Additionally, distance education courses and four certificate programs are offered. The department is research-intensive, while fostering strong teaching expectations and commitments. Students in the department are educated to meet the challenge of using soil, water, and plant resources for sustainable production and environmental quality.

Major/Essential Functions

The Postdoctoral Research Associate will conduct independent and collaborative research in plant phenomics, remote sensing, and AI-based image analysis, including but not limited to:
  • Develop and implement high-throughput phenotyping approaches using advanced imaging technologies in controlled-environment and field settings.
  • Design and optimize computer vision, machine learning, and image analysis pipelines for extracting quantitative plant traits, including plant height, biomass, canopy architecture, growth dynamics, and physiological indicators.
  • Design, conduct, and support phenotyping experiments to investigate crop growth, physiological responses, and adaptation to abiotic stresses.
  • Integrate imaging, physiological, and environmental datasets to characterize plant performance and identify traits associated with stress tolerance.
  • Conduct statistical and computational analyses, and lead the preparation of peer-reviewed publications, conference presentations, and research reports.
  • Contribute to grant proposal development and explore new research directions in plant phenomics, remote sensing, and AI-driven crop research.
  • Collaborate with interdisciplinary research teams and assist in mentoring undergraduate and graduate students.

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

  • PhD in plant phenomics, remote sensing, agricultural engineering, plant science, crop physiology, computer science, or a closely related field by the anticipated appointment date.
  • Demonstrated research experience in high-throughput phenotyping, remote sensing, image analysis, computer vision, machine learning, or related areas
  • Experience with plant phenotyping platforms or imaging technologies, such as RGB, multispectral, hyperspectral, thermal, or fluorescence imaging.
  • Experience developing or applying computer vision, machine learning, or deep learning methods for plant trait extraction and phenotypic analysis.
  • Hands-on experience with controlled-environment experiments, field-based phenotyping, or UAV-based crop monitoring.
  • Knowledge of crop physiology, abiotic stress responses, or crop research involving cotton, sorghum, or other agricultural crops.
  • Proficiency in scientific programming and data analysis using Python, R, MATLAB, or related computational tools.
  • Ability to conduct independent research, analyze complex datasets, and communicate scientific findings effectively.
  • Strong organizational, written, and verbal communication skills, with the ability to work collaboratively in an interdisciplinary research environment.
  • Experience developing automated image processing workflows or integrating multi-sensor datasets.
  • Strong record of peer-reviewed publications and experience in collaborative research, student mentoring, or proposal development.

Safety Information

Adherence to robust safety practices and compliance with all applicable health and safety regulations are responsibilities of all TTU employees.

Pay Statement

Compensation is commensurate upon the qualifications of the individual selected and budgetary guidelines of the hiring department, as well as the institutional pay plan.

EEO Statement

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.