PhD positions in Machine Learning

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.