corporate_fare
Kansas State University
verifiedVerified ListingResearch Engineer Lead
schedulePosted 6 days ago
workFull time
bar_chartSenior
AIautomated GIS workflowsCloudDashboardsData AnalysisDocumentationField Data CollectionGeoAIGeospatialGISGPSMachine LearningPythonRRemote SensingReportingReproducible spatial workflowsSQLTechnical documentationUAV Data Processing
About the Role
This job was posted by https://www.kansasworks.com : For more
information, please see: https://www.kansasworks.com/jobs/13645144
Research Engineer Lead
Kansas State University
*About This Role*
This position will integrate agricultural engineering, agronomy, GIS,
remote sensing, image analysis, statistics, data science, machine
learning, GeoAI, generative AI, and software development. The scientist
will design, develop, test, validate, and implement scalable analytical
workflows and research software for processing complex agricultural
datasets, including field-trial, genotype, phenotype, yield, weather,
soil, pest, disease, scouting, crop-management, UAV, satellite, sensor,
GPS/GNSS, machinery, and experimental-design data. The position will
develop automated backend and frontend workflows for data ingestion,
cleaning, standardization, transformation, spatial and tabular
integration, analysis, visualization, reporting, and export using
Python, R, SQL, GIS, cloud-computing platforms, and reproducible
software-development practices. Responsibilities will include developing
and validating statistical, agronomic, remote-sensing, machine-learning,
deep-learning, computer-vision, image-segmentation, time-series, and
decision-support methods for trait prediction, yield estimation, crop
monitoring, breeding decisions, site-specific management, and
crop-management recommendations.
The scientist will also support field research involving geospatial
field layouts, experimental and strip-trial design, treatment
geolocation, sampling protocols, ground-truth data collection, soil and
plant sampling, UAV operations, GPS/GNSS systems, remote-sensing
sensors, precision-agriculture equipment, and agricultural field
machinery. The position will evaluate software functionality, accuracy,
usability, scalability, and reproducibility; compare analytical
capabilities with established GIS and agricultural software platforms;
and translate breeder, researcher, producer, and industry needs into
practical software features, technical specifications, reports,
dashboards, maps, and actionable recommendations.
The successful candidate will independently manage complex projects,
provide technical leadership to interdisciplinary teams, contribute to
proposal and grant development, build collaborative relationships,
identify funding and partnership opportunities, develop technical
documentation and training materials, and lead workshops, software
demonstrations, surveys, stakeholder meetings, and
technology-dissemination activities. Approximately 80% of the position
will focus on research, data analysis, model and software development,
field activities, technical management, testing, and validation, while
approximately 20% will focus on collaboration, extension, communication,
stakeholder engagement, outreach, training, and technology
dissemination.
*About Us*
The Farmslab team is part of the Department of Biological and
Agricultural Engineering in the Carl R. Ice College of Engineering at
Kansas State University. The team conducts interdisciplinary research in
digital agriculture, precision agriculture, geospatial analytics, remote
sensing, high-throughput phenotyping, agricultural data science,
automation, sensing technologies, and decision-support systems. Farmslab
works closely with faculty, students, producers, plant breeders,
agronomists, agricultural engineers, statisticians, software developers,
commodity organizations, government agencies, research institutions,
technology companies, and agricultural industry partners. The team
develops practical and scalable research solutions that improve
agricultural data collection, analysis, visualization, interpretation,
and decision-making. The position will contribute to ongoing development
and implementation of Plotlytix and related analytical tools designed to
simpl fy geospatial and agricultural data workflows. These efforts
support researchers, breeders, producers, and industry collaborators by
reducing fragmented data-processing steps and improving reproducibility,
collaboration, accessibility, and timely decision-making.
Kansas State University is a land-grant institution with strong programs
in agriculture, engineering, research, extension, and stakeholder
engagement. The university provides opportunities to collaborate across
departments, research centers, extension programs, commodity groups,
government agencies, and agricultural industries.
*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
Requires a doctor of philosophy or veterinary medicine and three years
of relevant experience. The degree requirement ensures candidates
possess the research design expertise, data analysis proficiency and
methodological rigor necessary to plan and execute studies, coordinate
data collection and prepare documentation for publication. These
competencies are typically developed and rigorous
domain
Kansas State University
Leading-edge innovations and technical excellence in the geospatial domain.