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 is seeking applications for a fully funded PhD Fellowship. The successful candidate will conduct research on Resource Efficiency for Generative AI, including Large Language Models (LLMs) and AI agents, aiming to develop more efficient, sustainable, and accessible AI systems. The research may address resource efficiency at various stages of the LLM lifecycle, such as novel algorithms, training paradigms, prompting strategies, and hardware-aware optimization techniques. The overarching goal is to significantly reduce the computational, energy, and other resources needed to develop and deploy LLM-based systems while maintaining or improving performance.
This PhD fellowship is based at the Department of Computer Science (DIKU) at the University of Copenhagen, Denmark. The University of Copenhagen, founded in 1479, is Denmark’s oldest and largest institution for research and education, consistently ranked among Europe’s leading universities.
Key qualifications:
- MSc degree in a subject relevant to the research area (Machine Learning, Natural Language Processing, Information Retrieval, Recommender Systems).
- Strong grades in relevant subjects.
- Fluency in spoken and written English.
- Strong academic writing skills.
- Preliminary research record (master thesis or publications).
- Scientific curiosity, critical thinking skills, and strong programming skills.
Deadline: October 10th, 2026