University of Auckland
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PhD in Remote Sensing for Zambian Agriculture University of Auckland in New Zealand
Degree Level
PhD
Field of study
Computer Science
Funding
Funded PhD project. Doctoral scholarship covering tuition and a living stipend is included.
Deadline
Sep 13, 2026
Country
New Zealand
University
University of Auckland

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About this position
PhD opportunity: Remote Sensing for Zambian Agriculture at the University of Auckland, Department of Mechanical Engineering.
This funded PhD project focuses on remote sensing, geospatial technology, agricultural sciences, computer vision, machine learning, and systems engineering to improve crop monitoring and disaster response in Zambia. The project aims to address the challenge that Zambia’s agriculture is vulnerable to climate crises and that current monitoring methods produce sparse and delayed information.
You will work with remote sensing platforms such as satellites, crewed aircraft, and UAVs, and contribute to image processing algorithms, deep learning model training, and thoughtfully designed information dashboards. The project mentions access to one commercial dataset and ongoing efforts to build relationships for additional data access.
Funding includes a doctoral scholarship covering tuition and a living stipend. The listing is for a Funded PhD Project (Students Worldwide).
Ideal applicants should already have some background in one or more of the relevant technical areas and be interested in developing skills across the others. The post emphasizes building a broad understanding of the problem, stakeholder awareness, deep technical expertise, and solutions with real-world impact.
Location: Auckland, New Zealand.
Supervisor: Dr Mark Jeunnette.
Apply: Use the FindAPhD listing and follow the project application process.
Funding details
Funded PhD project. Doctoral scholarship covering tuition and a living stipend is included.
What's required
Applicants should have some background in one or more of remote sensing, geospatial technology, image processing, deep learning, or information dashboard development, and be willing to develop skills in the others. The project seeks candidates able to build a broad understanding of the problem and work on real-world impact for crop monitoring and disaster response.
How to apply
Apply today through the FindAPhD listing and the institution's PhD application process. Review the project details and submit an application for the funded PhD project.
More information can be found here
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