Texas A&M AgriLife Research
4 days ago
Postdoctoral Research Associate in Precision Agriculture and Digital Soil Mapping Texas A&M AgriLife Research in United States
Degree Level
Postdoc
Field of study
Computer Science
Funding
Grant-funded postdoctoral position with competitive benefits. Collaboration with USDA-ARS partners is included; stipend amount and tuition details are not stated.
Country
United States
University
Texas A&M AgriLife Research

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About this position
Texas A&M AgriLife Research is hiring a Postdoctoral Research Associate in Precision Agriculture and Digital Soil Mapping in Temple, Texas. The position is part of a collaborative research effort with USDA-ARS focused on advancing precision agriculture and precision conservation in cropping systems.
The successful candidate will develop soil and agronomic intelligence products that support data-driven decision-making at subfield, farm, and regional scales. The work integrates proximal and remote sensing, UAV imagery, and soil, environmental, and yield datasets to build machine learning and AI models for multi-scale management decisions.
Research keywords: soil science, agronomy, geospatial analytics, GIS, remote sensing, soil-landscape modeling, digital soil mapping, precision agriculture, cropping systems, machine learning, artificial intelligence, UAV imagery.
Eligibility highlights: applicants should hold a Ph.D. in Soil Science, Agronomy, Agricultural Engineering, Geosciences, or a related field. Experience in geospatial analytics, soil-landscape modeling, GIS, and remote sensing is required; R/Python skills are preferred.
Funding: this is a grant-funded postdoctoral position with competitive benefits. The post does not mention a deadline.
How to apply: submit a CV/resume, cover letter, list of references, and a copy of your degree/transcript through the application link. For questions, contact Dr. Kabindra Adhikari at [email protected].
Funding details
Grant-funded postdoctoral position with competitive benefits. Collaboration with USDA-ARS partners is included; stipend amount and tuition details are not stated.
What's required
Ph.D. in Soil Science, Agronomy, Agricultural Engineering, Geosciences, or a related field. Expertise in geospatial analytics, soil-landscape modeling, GIS, and remote sensing is required. R/Python skills are preferred. Applicants should submit a CV/resume, cover letter, list of references, and a copy of degree/transcript.
How to apply
Prepare a CV/resume, cover letter, list of references, and a copy of your degree/transcript. Submit the application through the Workday link provided in the post and contact Dr. Kabindra Adhikari by email if needed.
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