Publisher
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Sheng Yang

1 year ago

Fully Funded PhD in Knowledge Representation and Learning for Smart Agriculture University of Guelph in Canada

Degree Level

PhD

Field of study

Computer Science

Funding

The position is fully funded. Specific details about stipend amount and tuition coverage are not provided.

Deadline

Expired

Country flag

Country

Canada

University

University of Guelph

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Keywords

Computer Science
Agriculture
Information Technology
Deep Learning
Artificial Intelligence
Information Retrieval
Software Engineering
Knowledge Representation
Precision Farming

About this position

A fully funded PhD position is available at the University of Guelph in the Design Innovation and Intelligent Manufacturing (DIIM) Lab, supervised by Associate Professor Sheng Yang. The research focuses on knowledge representation and learning for smart agriculture, working at the intersection of artificial intelligence, knowledge modeling, deep learning (especially graph-based learning), and digital farming systems. The ideal candidate will have a background in software engineering, computer engineering, computer science, or information technology, with strong programming skills and research experience in information retrieval, knowledge modeling, and deep learning. Knowledge of app development is considered an asset. Applicants must submit a CV, transcripts of all studies, and a sample publication. The position is fully funded, with a flexible start date as early as possible or by January 2026. For more information or to apply, contact Dr. Sheng Yang at [email protected].

Funding details

The position is fully funded. Specific details about stipend amount and tuition coverage are not provided.

What's required

Applicants should have a background in software engineering, computer engineering, computer science, or information technology. Research experience in information retrieval, knowledge modeling, deep learning (especially graph-based learning) is preferred. Strong programming skills are required, and knowledge of app development is an asset. Applications must include a CV, transcripts of all studies, and one sample publication.

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Professors

Associate Professor

University Name
Country flag

Canada

Research Interests

Industrial Automation

Artificial Intelligence

Manufacturing Engineering

Computer Science

Robotics