Fully funded PhD fellowship in Resource Efficiency for Generative AI

Job Portal Job portal - Faculty and academic positions - Tenure track assistant professor positions - PhD-positions - Teaching positions - Administrative and research support staff - Start your research career here - Working at UCPH - Contact - Search all vacancies - Sign up for job alerts - How to apply - Moving to Denmark (International Staff Mobility) - Job portal - All vacancies Fully funded PhD fellowship in Resource Efficiency for Generative AI The Inference & Retrieval Lab within the Department of Computer Science (DIKU) at the University of Copenhagen invites applications for a fully funded PhD Fellowship commencing in January 2027, or as soon as possible thereafter.

The successful candidate will undertake research on Resource Efficiency for Generative AI, such as Large Language Models (LLMs) and AI agents, contributing to the development of more efficient, sustainable, and accessible AI systems.

Join a vibrant and internationally recognised research environment The PhD fellow will become a member of the Inference & Retrieval Lab, one of the research labs within the Machine Learning Section at DIKU.

The Machine Learning Section is an internationally recognised research environment with a strong track record of excellence in the broader area of Machine Learning, including Natural Language Processing and Web & Information Retrieval1 …