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Australian National University

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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

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Country

Australia

University

Australian National University

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Department of Agriculture, Food and the Marine PhD Scholarship

by Department of Agriculture, Food and the Marine

Partially Funded
PhD
4 Years
Ireland

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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Keywords

Computer Science
Data Science
Machine Learning
Environmental Science
Agriculture
Deep Learning
Biology
Remote Sensing
Artificial Intelligence
Python Programming
Statistics
Decision Support System

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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