Australian National University
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2 months ago
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ANU-CSIRO Digital Agriculture PhD Scholarship
PhD Scholarship in Digital Agriculture, AI and Machine Learning for Farm Emulators Australian National University in Australia
Degree Level
PhD
Field of study
Computer Science
Funding
Fully funded PhD scholarship.
Deadline
Aug 11, 2026
Country
Australia
University
Australian National University

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Ongoing programDepartment of Agriculture, Food and the Marine PhD Scholarship
by Department of Agriculture, Food and the Marine
Department of Agriculture, Food and the Marine PhD Scholarships support doctoral research in Ireland, including funded studentships at universities such as University College Dublin in agriculture-related and interdisciplinary areas.
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About this position
ANU-CSIRO is offering a fully funded PhD scholarship in digital agriculture, AI, and machine learning at the Australian National University in Australia.
The project focuses on machine learning approaches for developing farm emulators using APSIM, remote sensing, spatial data, and deep learning to build real-time decision support tools for farmers. The research aims to create an AI-powered crop prediction emulator that can help prioritize field management decisions across paddock, farm, regional, and broader scales.
Students will work with a multidisciplinary team with expertise in farming systems modelling, remote sensing, data science, and machine learning, with access to CSIRO’s digital agriculture expertise. Training includes crop simulation modelling, deep learning applications, crop sensing techniques, data management, analysis, paper writing, presentations, and peer review.
Eligible applicants should have a background in data science, machine learning, statistics, computer science, agricultural engineering, or a related field, and should be able to program. Python or R skills are preferred.
Deadline: 11 August 2026, 11:45 pm AEST.
How to apply: Submit an expression of interest via the scholarship/project page and explain your motivation for the project plus how your skills and experience match the requirements. Questions can be directed to Martin Amidy at [email protected].
Funding details
Fully funded PhD scholarship.
What's required
Applicants should have a background in data science, machine learning, statistics, computer science, agricultural engineering, or a related field. Programming skills in Python or R are expected or strongly preferred. The project is suited to candidates interested in crop simulation modelling, deep learning, remote sensing, spatial data, and agricultural decision support.
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