Fellow (Post Doc)

Kansas State University; Manhattan (KS); On-site; USD 54,000 - 70,000; Full time

Job summary

Kansas State University’s Digital Agronomy Research Team (DART) invites applications for a Fellow (Post Doc) to advance interdisciplinary research in precision agriculture, agricultural water management, remote sensing, and agroecosystem modeling. The position integrates field measurements with satellite, UAV remote sensing, weather and soil data to enhance understanding of crop water use and stress.

You will develop reproducible workflows using Python, R, Google Earth Engine, GIS, and related

Qualifications

• Ph.D. in a relevant field; strong research background in agricultural water management or related areas.
• Experience with quantitative analysis of environmental or geospatial data.
• Proven ability in scientific programming and computational modeling.
• Demonstrated scholarly output and effective scientific communication.

Responsibilities

• Conduct independent and collaborative research in precision agriculture, water management, remote sensing, and agroecosystem modeling.
• Develop approaches to quantify evapotranspiration, crop water use, stress, and water-use efficiency.
• Integrate field observations with satellite, UAV remote sensing, weather, soil moisture, and other geospatial datasets using modeling approaches.
• Develop reproducible workflows using Python, R, Google Earth Engine, GIS, and related tools; participate in data collection and QA/QC.
• Independently analyze results and contribute to manuscripts, reports, and presentations.
• Support coordination of externally funded multidisciplinary projects.
• Coordinate datasets, timelines, milestones, and deliverables among collaborators and partners.
• Assist PI with progress reports and technical deliverables.

Skills

Quantitative analysis

Scientific programming

Geospatial analysis

Communication skills

Education

Ph.D. in agronomy, environmental engineering, hydrology, or related field

Tools

Python

R

Google Earth Engine

GIS

Job description

Fellow (Post Doc)

Kansas State University

About This Role

This postdoctoral position will support interdisciplinary research in precision agriculture, agricultural water management, remote sensing, and agroecosystem modeling within the Digital Agronomy Research Team (DART) at Kansas State University. The position will contribute to research and outreach aimed at improving the understanding, monitoring, and prediction of crop water use, evapotranspiration, crop water stress, and water use efficiency across field to regional scales. Research will involve integration of field-based measurements with satellite (optical and radar) and UAV remote sensing, weather and climate information, soil moisture and crop observations, and other geospatial and environmental datasets.

Responsibilities Will Include

• Conduct independent and collaborative research in precision agriculture, agricultural water management, remote sensing, and agroecosystem modeling.
• Develop and apply approaches for quantifying and predicting evapotranspiration, crop water use, crop water stress, water use efficiency, and related soil-plant-atmosphere processes.
• Integrate field observations, weather and climate data, soil moisture and crop measurements, satellite and UAV remote sensing, and other geospatial datasets using process-based, statistical, and data-driven modeling approaches.
• Develop reproducible workflows using Python, R, Google Earth Engine, GIS, and related computational tools. Participate in field research, sensor deployment, data collection, quality assurance/quality control, and evaluation of research datasets.
• Independently analyze and interpret research results and lead or contribute to peer-reviewed manuscripts, conference presentations, technical reports, datasets, and other scholarly products.
• Support the scientific coordination and implementation of externally funded, multidisciplinary research projects.
• Coordinate research activities, datasets, timelines, milestones, and technical deliverables among faculty, research staff, students, collaborating investigators, producers, and other project partners.
• Assist the principal investigator with preparation of progress reports, annual reports, technical deliverables, presentations, and

Other Sponsor-required Materials.

• Contribute to undergraduate and graduate teaching and research training in precision agriculture, agricultural water management, remote sensing, geospatial analysis, and environmental data science.
• Develop and deliver selected guest lectures, laboratory exercises, demonstrations, tutorials, and hands-on learning activities.
• Participate in field days, producer meetings, workshops, demonstrations, project meetings, and other stakeholder-oriented programs.

About Us

The Department of Agronomy, together with the Research and Extension Centers, provides statewide leadership for teaching, research, and extension activities in plant breeding, crop production, range science, soil science, and weed sciences and contributes substantially to activities in genetics, water science, and environmental sciences. More information can be found, https://apptrkr.com/get_redirect.php?id=9828705&targetURL=https%3A%2F%2Fwww.agronomy.k-state.edu%2F.

Worksite Description

This position is On-site.

All employees must reside in the United States when they begin working to comply with state law. K-State is unable to provide remote or hybrid work opportunities for residents of the state of Idaho.

What You'll Need to Succeed

Minimum Qualifications

• Ph.D. in agronomy, agricultural engineering, hydrology, water resources engineering, environmental engineering, soil and water science, remote sensing, or a closely related discipline. The degree requirement is necessary to ensure candidates possess the specialized knowledge, skills and abilities that can only be attained through a formal educational program at this level.
• Demonstrated research experience in one or more areas related to agricultural water management, evapotranspiration, irrigation, ecohydrology, remote sensing, precision agriculture, or agroecosystem modeling.
• Experience with quantitative analysis of agricultural, environmental, hydrologic, geospatial, or remote-sensing data.
• Demonstrated experience with scientific programming, statistical analysis, geospatial analysis, or computational modeling.
• Evidence of research productivity through peer-reviewed publications and/or other scholarly products.
• Demonstrated ability to communicate scientific information effectively through technical writing and oral presentations.

Preferred Qualifications

• Research experience in evapotranspiration, crop water use, water use efficiency, crop water stress, and soil-plant-atmosphere interactions.