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Jing Zhang

4 months ago

M.S. or Ph.D. Opening in Plant Phenomics, Remote Sensing, and AI at North Carolina State University North Carolina State University in United States

Degree Level

Master's, PhD

Field of study

Computer Science

Funding

Available

Deadline

Expired

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Country

United States

University

North Carolina State University

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Keywords

Computer Science
Data Science
Environmental Science
Agriculture
Plant Biology
Electrical Engineering
Biology
Remote Sensing
Crop Science
Artificial Intelligence
Vegetation Science
Phenomics
Technical Engineering
Statistics

About this position

Jing Zhang, Assistant Professor in Translational Plant Phenomics at North Carolina State University, is recruiting a motivated student for an M.S. or Ph.D. position in Plant Phenomics.

The project sits at the intersection of plant science, engineering, remote sensing, digital agriculture, and artificial intelligence. Students with a plant science background who are interested in high-throughput phenotyping, remote sensing, digital agriculture, and AI applications are encouraged to apply. Students from engineering, computer science, or data science backgrounds who want to apply sensing and computational tools to agricultural and horticultural challenges are also a strong fit.

The opportunity is based at North Carolina State University in Raleigh, North Carolina, United States. The start date is Fall 2026 or Spring 2027. No funding details, stipend amount, or tuition information are stated in the post, and no explicit application deadline is provided.

Interested students should review the linked post for more details and reach out through the provided LinkedIn information if they are a fit. This is a research-oriented graduate opening for students interested in plant phenomics, sensing, computational agriculture, and AI-driven analysis.

Funding details

Available

What's required

Applicants should have a background in plant science, engineering, computer science, or data science. The post seeks a motivated student interested in high-throughput phenotyping, remote sensing, digital agriculture, and AI applications. The opportunity is for M.S. or Ph.D. study starting in Fall 2026 or Spring 2027.

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Professors

Assistant Professor in Translational Plant Phenomics

University Name
Country flag

United States

Research Interests

Crop Science

Agronomy

Vegetation Science

Agriculture

Plant Biology