École de technologie supérieure
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Fully Funded PhD in Artificial Intelligence and Large Language Models for DevOps at École de technologie supérieure École de technologie supérieure in Canada
Degree Level
PhD
Field of study
Computer Science
Funding
Full funding availableCountry
Canada
University
École de technologie supérieure

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About this position
A fully funded PhD position is available at École de technologie supérieure (ÉTS), Canada in Artificial Intelligence and Large Language Models (LLMs) for DevOps.
The project focuses on applying generative AI and LLMs to modern software engineering and cloud-native workflows, including software development, deployment, testing, monitoring, maintenance, and reliability improvement. Research directions mentioned include AI for DevOps, Intelligent Software Engineering, MLOps, AIOps, Cloud Computing, Software Testing and Automation, Program Analysis, and AI Agents.
Applicants from Computer Science, Software Engineering, Artificial Intelligence, Machine Learning, Data Science, Computer Engineering, or related areas are encouraged to apply. A Master’s degree in a related field is expected, along with strong programming skills in Python or Java. Experience with machine learning, software engineering, DevOps, or cloud computing is preferred, and strong research motivation and communication skills are important.
The position is described as fully funded with competitive scholarship and financial support, plus access to modern computing infrastructure and industry collaborations. Interested applicants should send a CV, academic transcripts, and a brief statement of research interests to the contact email provided.
Contact: [email protected]
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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