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Samira Gharehkhani

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PhD in Wood-Based Materials, Microfibrillated Cellulose, and Machine Learning at University of Victoria University of Victoria in Canada

Degree Level

PhD

Field of study

Computer Science

Funding

Available

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Country

Canada

University

University of Victoria

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Keywords

Computer Science
Mechanical Engineering
Chemical Engineering
Materials Science
ML

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About this position

PhD opportunity at the University of Victoria in the Gharehkhani Group, co-supervised by Prof. James Olson and Prof. Peter Wild.

The project focuses on developing novel wood-based materials, with particular attention to microfibrillated cellulose and the refining process. The research combines experimental work with extensive data analysis and may include machine learning tools to improve process understanding and materials development.

Preferred backgrounds include mechanical engineering, pulp and paper, chemical engineering, machine learning, or closely related areas. The post highlights the need for a strong research mindset and the ability to thrive in a collaborative team environment.

This is a PhD opening for a Spring 2027 start. To apply, prepare a single PDF with your CV, transcripts, and the contact information of two referees, then email it to [email protected] with the subject line “PhD-ERMP 2026”.

Funding details

Available

What's required

Candidates should have a strong background in mechanical engineering, pulp and paper, chemical engineering, machine learning, or related areas. A passion for high-quality research and the ability to work in a collaborative team environment are emphasized. The post does not mention GPA, language tests, or other formal entry requirements.

How to apply

Send a single PDF containing your CV, transcripts, and the contact information of two referees to [email protected]. Use the subject line “PhD-ERMP 2026”. Only selected applicants will be contacted for an interview.

More information can be found here

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