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University of Guelph

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Fully Funded PhD in Grain Science, Food Innovation, and Machine Learning at University of Guelph University of Guelph in Canada

Degree Level

PhD

Field of study

Computer Science

Funding

Full funding available

Deadline

Jul 1, 2026

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Country

Canada

University

University of Guelph

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Keywords

Computer Science
Chemistry
Food Science
Environmental Science
Agriculture
Biology
Nutrition
Artificial Intelligence
Food Quality
Statistics
Grain Science
Sustainable Food
Machine learning

About this position

PhD Opportunity in Grain Science, Food Innovation, and Machine Learning at the University of Guelph, Canada.

This is a fully funded PhD position within the NSERC CREATE program “The Future is Gree(ai)n”. The project is interdisciplinary and focuses on how grain structure influences food quality, including nutrition, flavour, and functionality, while also using data-driven approaches and machine learning to design novel, high-value grain-based ingredients.

Research areas include food processing, multi-scale structural analysis, flavour mapping, digestion kinetics, advanced analytics, AI, and machine learning. The post highlights hands-on training with cutting-edge tools such as spectroscopy, GC-MS, and LC-MS.

The program emphasizes strong collaboration across academia, industry, and government, with opportunities for industry internships, research exchanges, and professional development. It also notes a supportive, inclusive environment grounded in EDI and Indigenization principles.

Location: University of Guelph, with on-campus work and partner collaboration travel.

Start date: September 2026.

Application deadline: July 1, 2026.

Ideal for candidates interested in food science, grain science, food innovation, nutrition, flavour chemistry, analytical chemistry, AI, and machine learning.

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

More information can be found here

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