Computer Science

The Department of Computer Science at the University of Copenhagen is offering five PhD positions in the Machine Learning Section, focusing on cutting-edge topics such as Green Computation Scheduling and Resource Efficiency for Generative AI. The Green Computation Scheduling project aims to reduce carbon emissions from computation by designing algorithms that schedule tasks during periods of low carbon intensity, leveraging advances in online and reinforcement learning. Applicants for this project should have a strong theoretical background and mathematical skills, with experience in online learning, bandits, and reinforcement learning considered an advantage. The project is supervised by Yevgeny Seldin and Raghavendra Selvan. The Resource Efficiency for Generative AI project investigates methods to make Large Language Models more resource-efficient, exploring novel algorithms, training paradigms, and hardware optimization to improve sustainability, safety, fairness, and access. Candidates for this project must possess strong skills in mathematics and machine learning and be motivated to contribute to the UN sustainable development goals. Supervisors for this project include Christina Lioma, Maria Maistro, and Raghavendra Selvan. The application deadline is September 30, 2025, and applications should be submitted via the official university portal. For further details or inquiries, candidates are encouraged to contact the relevant supervisors via the provided email addresses. While funding details are not explicitly stated, these are PhD fellowship positions, which typically include full funding and tuition coverage at the University of Copenhagen.