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Yanhua Xie

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PhD and Postdoctoral Positions in Geospatial AI, Remote Sensing, and Agricultural Water Use at University of Oklahoma University of Oklahoma in United States

I am recruiting a PhD student and two postdocs in geospatial AI and remote sensing at University of Oklahoma.

University of Oklahoma

United States

Date not provided

Keywords

Computer Science
Environmental Science
Agriculture
Remote Sensing
Geography
Earth Science
Water Resource Management
Earth Observation
Environmental Sustainability

Description

The XIE (X-Scale Irrigation & Earth Observation) Lab at the University of Oklahoma is seeking one PhD student and two postdoctoral researchers to join the newly funded Re-Analysis of Water for Society (RAWS) project. The lab, led by Assistant Professor Yanhua Xie, specializes in geospatial AI, remote sensing, and Earth observation to address challenges in agricultural irrigation, land use mapping, and water resource management. Research in the lab integrates multi-source geospatial data, artificial intelligence, and cloud computing to develop scalable solutions for sustainable food production and drought resilience.

The available PhD position focuses on remote sensing of agricultural land and water use, while the two postdoc positions target agricultural irrigation mapping and land use/cover mapping, both leveraging geospatial AI. The lab collaborates with water resource agencies and agricultural stakeholders, providing a dynamic environment for interdisciplinary research in environmental science, geography, and computer science.

Applicants for the PhD position should have a strong background in remote sensing, geospatial science, environmental science, geography, or related fields, with experience in geospatial data analysis and AI/ML preferred. Postdoc candidates must hold a PhD in a relevant discipline and demonstrate expertise in geospatial AI, agricultural irrigation mapping, or land use/cover mapping. All candidates should possess strong research skills and a keen interest in the lab's focus areas.

Funding is provided through a newly funded project, with standard university support expected for PhD students and postdocs. Specific details on stipend or tuition coverage are not specified. Applications are reviewed on a rolling basis until the positions are filled. To apply, PhD candidates should email a cover letter and CV to Dr. Yanhua Xie ([email protected]) with the subject 'PhD: Ag Land/Water Use'. Postdoc applicants should submit a cover letter, CV, and contact information for three references to the same email with the subject 'Postdoc: Ag Irrigation'.

For more information about the lab and research areas, visit the XIE Lab website.

Funding

The positions are part of a newly funded project. Specific details on funding, stipend, or tuition coverage are not provided, but the positions are research-based and likely include standard university support for PhD students and postdocs.

How to apply

PhD applicants should email a cover letter and CV to Dr. Yanhua Xie with the subject 'PhD: Ag Land/Water Use'. Postdoc applicants should email a cover letter, CV, and contact information for three references to Dr. Yanhua Xie with the subject 'Postdoc: Ag Irrigation'. Applications are reviewed until filled.

Requirements

PhD applicants should have a strong background in remote sensing, geospatial science, environmental science, geography, or related fields. Experience with geospatial data analysis, AI/ML, and programming is preferred. Postdoc candidates should have a PhD in a relevant field and expertise in geospatial AI, agricultural irrigation mapping, or land use/cover mapping. All applicants should demonstrate strong research skills and interest in the lab's focus areas. Only qualified candidates will be contacted for interview.

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