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University of Manitoba

PhD Position in Generative AI and Machine Learning at University of Manitoba University of Manitoba in United States

Degree Level

PhD

Field of study

Computer Science

Funding

Full funding available

Deadline

Jan 31, 2027

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Country

United States

University

University of Manitoba

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Keywords

Computer Science
Mathematics
Artificial Intelligence
Statistics
Machine learning

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About this position

The CORE AI Lab in the Department of Computer Science at the University of Manitoba is seeking a motivated PhD student to join their research team. The primary research focus is on Generative AI, a cutting-edge area within artificial intelligence and machine learning. This opportunity is ideal for candidates with strong programming skills, a solid background in mathematics and statistics, and a deep understanding of machine learning concepts.

Applicants are expected to demonstrate proficiency in relevant programming languages and showcase their academic achievements in mathematics and statistics. The position offers the chance to work in a dynamic research environment, contributing to advancements in generative models and artificial intelligence under the supervision of faculty at the University of Manitoba, Canada.

To apply, interested candidates should prepare a CV, a one-page motivation letter, and all academic transcripts. These documents must be sent via email to [email protected] with the subject line: PhD Position-CORE AI-Winter 2027. The application deadline is set for Winter 2027 (January 31, 2027).

This position is particularly suited for students passionate about artificial intelligence, machine learning, computer science, mathematics, and statistics. The University of Manitoba provides a collaborative academic environment and access to state-of-the-art research facilities.

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.

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