Post Doctoral Research Associate - Agricultural Remote Sensing

Texas Tech University

  • Lubbock, TX
  • 5 days ago
  • Remote
  • $44,500–$57,900 Per Year
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Skills

  • Academic Researchunmatched
  • Agricultural Cropsunmatched
  • Agricultural Engineeringunmatched
  • Agricultural Managementunmatched
  • Agricultureunmatched
  • Agronomyunmatched
  • Animal Husbandryunmatched
  • Application Programming Interface (API)unmatched
  • Artificial Intelligence (AI)unmatched
  • Background Investigationunmatched
  • Biomassunmatched
  • Botanyunmatched
  • Budgetingunmatched
  • Cloud Computingunmatched
  • Code Reviewsunmatched
  • Computer Programmingunmatched
  • Computer Scienceunmatched
  • Customer/Client Researchunmatched
  • Data Analysisunmatched
  • Data Managementunmatched
  • Data Modelingunmatched
  • Data Qualityunmatched
  • Data Scienceunmatched
  • Data Setsunmatched
  • Database Programming Interfaceunmatched
  • Decision Supportunmatched
  • Documentationunmatched
  • Economicsunmatched
  • Employee Relationsunmatched
  • Establish Prioritiesunmatched
  • Farmingunmatched
  • Federal Laws and Regulationsunmatched
  • Field Trialsunmatched
  • Food Scienceunmatched
  • Fundingunmatched
  • Geographyunmatched
  • Geospatial Analysisunmatched
  • Hydrologyunmatched
  • JavaScriptunmatched
  • Machine Learningunmatched
  • Microsoft Excelunmatched
  • Mobile Applications Developmentunmatched
  • Mobile Web Programmingunmatched
  • Natural Resourcesunmatched
  • Needs Assessmentunmatched
  • Network Programmingunmatched
  • Procedure Developmentunmatched
  • Product Demonstrationunmatched
  • Publicationsunmatched
  • Python Programming/Scripting Languageunmatched
  • R Programming Languageunmatched
  • Regulationsunmatched
  • Reporting Dashboardsunmatched
  • Requirements Managementunmatched
  • Research Laboratoryunmatched
  • Research Skillsunmatched
  • Safety Complianceunmatched
  • Safety/Work Safetyunmatched
  • Scientific Publicationsunmatched
  • Software Administrationunmatched
  • Software Developmentunmatched
  • Soil Scienceunmatched
  • Source Code/Configuration Management (SCM)unmatched
  • Spatial Dataunmatched
  • State Laws and Regulationsunmatched
  • Team Playerunmatched
  • Test Automationunmatched
  • Test Dataunmatched
  • Test Plan/Scheduleunmatched
  • Training/Teachingunmatched
  • Usability Testingunmatched
  • Veterinary Medicineunmatched
  • Water Resource Managementunmatched
  • Web Designunmatched
  • Web Testingunmatched

Description

Major/Essential Functions

The Davis College Water Center at Texas Tech University (Lubbock, TX) invites applications for a Post Doc position focused on developing practical digital tools for agricultural water management. The successful candidate will combine knowledge of agriculture and remote sensing with strong coding skills to transform data from field sensors, weather stations, satellites, and crop models into applications that farmers can use to support irrigation and crop-management decisions.

This position offers an opportunity to connect ongoing field and remote-sensing research with farmer-ready products. The Post Doc will work with researchers, extension personnel, producers, and software collaborators to identify user needs; develop, test, and deploy web, mobile, or dashboard applications; and validate recommendations under real farming conditions. The candidate will also contribute to scientific publications, outreach, proposals, and shared project activities.
  • Work with farmers, crop consultants, and researchers to identify priority management decisions and define requirements for useful, accessible, and scientifically reliable decision-support applications.
  • Develop reproducible data pipelines and application progrzamming interfaces that integrate soil-moisture sensors, weather and field observations, satellite products, and crop or hydrologic model outputs.
  • Calibrate, validate, and apply DSSAT crop models using field observations, soil and weather data, irrigation records, crop-management information, and historical datasets from ongoing research and producer-field projects.
  • Integrate DSSAT simulations with satellite and ground-sensor data to assess crop growth, phenology, soil-water dynamics, evapotranspiration, irrigation requirements, biomass, yield, and crop water productivity.
  • Apply remote sensing, geospatial analysis, machine learning, and artificial intelligence to map soil moisture, estimate irrigation requirements, classify crops, detect phenology, monitor agricultural drought, and predict biomass or yield.
  • Connect application development with ongoing small-plot and producer-field research; collect ground-reference data and evaluate model accuracy, uncertainty, limitations, and agronomic usefulness across crops, soils, irrigation systems, and seasons.
  • Conduct usability testing with farmers and other intended users and improve maps, alerts, interfaces, and recommendations based on user feedback and documented field performance.
  • Use sound software practices, including version control, code review, automated testing, data-quality checks, privacy safeguards, documentation, and maintainable deployment; prepare peer-reviewed publications, project reports, proposals, training materials, and outreach demonstrations.


Grant Funded?

Yes

Pay Basis

Monthly

Work Location

Lubbock

Preferred Qualifications

  • Support applications is preferred.
  • Additional preferred experience includes user-centered design, web or mobile development, cloud platforms, near-real-time sensor integration, machine learning or artificial intelligence, field research, and direct collaboration with farmers, extension programs, producer networks, or agricultural technology partners.
  • Ph.D. in agricultural or irrigation engineering, agronomy, crop science, soil and water science, remote sensing, geography, computer science, data science, or a related field.
  • Demonstrated knowledge of agriculture and experience with aerial or satellite remote sensing are required.
  • Strong programming skills in Python, R, JavaScript, or comparable languages and experience with geospatial data, databases, application programming interfaces, version control, large datasets, quantitative validation, scientific writing, and collaborative research.
  •  


Department

Plant and Soil Science

Required Attachments

Cover Letter, Professional/Personal References, Research Statement, Resume / CV, Transcript

Job Type

Full Time

Shift

Day

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.

This position is designated as involving access to critical infrastructure systems and/or research, as defined by Texas Executive Order GA-48. As such, candidates must successfully complete a comprehensive background check prior to employment. Employees are required to comply with all applicable state and federal regulations related to the protection of critical infrastructure. Ongoing employment is dependent upon maintaining eligibility for access and successfully passing periodic security and compliance reviews.

Does this position work in a research laboratory?

No

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.

Special Instructions to Applicants

This is an anticipated three-year position with a start date as early as September 2026; however, the start date can be flexible. Applicants must use the Texas Tech University job portal to apply. Inquiries can be sent to Dr. Krishna Jagadish (kjagadish.sv@ttu.edu). Please use “Post doc – Agricultural Remote Sensing and Crop Decision-Support Applications” in the subject line.



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.

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.

Job Family

Research

Job Sub Family

Researchers & Scientists

Annualized Pay Range

$44,500 - $57,900.00 - $71,200

Numbers & Facts

LocationLubbock, TX (
Remote
)
Salary$44,500–$57,900 Per Year

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