Fully funded PhD fellowship in Resource Efficiency for Generative AI

Official occupation: ph.d., naturvidenskab og teknik. Employment conditions: Almindelige vilkår. Employer CVR: 29979812.

Primary career market

Public Sector, Education & Impact (occupation evidence). 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 Retrieval.

According to CSRankings, the section has consistently ranked among the top research environments in Europe, including within the top 3 in Natural Language Processing and top 6 in Web & Information Retrieval over the past five years1 …