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 availableDeadline
Jul 1, 2026
Country
Canada
University
University of Guelph

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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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