Yani Ioannou
1 year ago
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PhD positions in Machine Learning University of Calgary in Canada
Degree Level
PhD
Field of study
Computer Science
Funding
Two fully-funded PhD positions are available. Funding includes support from the Digital Research Alliance of Canada RRG allocation on H100-based GPU clusters, access to the ARC GPU cluster at University of Calgary, and a lab-exclusive GPU cluster. The positions are described as fully funded, but no stipend amount or tuition details are specified.
Deadline
Dec 28, 2026
Country
Canada
University
University of Calgary
Suggested positions
Keywords
About this position
The Calgary Machine Learning Lab at the University of Calgary is recruiting for two fully-funded PhD positions starting in 2026. The lab focuses on cutting-edge research in machine learning, including the training and optimization of large neural networks, generalization, model merging, loss landscapes, functional symmetries, reasoning and scaling for large language models, trustworthy AI, fairness in LLMs, and sparse training and pruning. The lab has a strong publication record at top ML venues such as ICLR, NeurIPS, ICML, and TMLR, and collaborates with leading industrial and academic partners including Google DeepMind, Cerebras, Vector Institute, MILA, TUM, NYU, University of Toronto, and Aalto University. Graduate students have opportunities for research internships at organizations like AtlaML, Borealis AI, Cerebras, and Cohere.
The positions are supported by significant computational resources, including H100-based GPU clusters and exclusive lab access. Calgary offers a high quality of life, proximity to the Canadian Rockies, and a cosmopolitan environment. Interested candidates should apply via the provided links and review the lab website for more information.
Funding details
Two fully-funded PhD positions are available. Funding includes support from the Digital Research Alliance of Canada RRG allocation on H100-based GPU clusters, access to the ARC GPU cluster at University of Calgary, and a lab-exclusive GPU cluster. The positions are described as fully funded, but no stipend amount or tuition details are specified.
What's required
Applicants should be interested in building a research career in machine learning. Specific entry requirements are not listed, but candidates are expected to have a strong background in relevant areas such as optimization, neural networks, large language models, trustworthy AI, and general machine learning. A competitive academic record and research motivation are implied. No explicit mention of degree, GPA, or language requirements.
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Prepare your application
Review drafts and confirm requirements with the university.
Professors
Assistant Professor
Canada
Research Interests
Planetary Science
Systems Neuroscience
Computer Science
Multiwavelength Observations
Trustworthy Computing
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Prepare your application
Review drafts and confirm requirements with the university.