Jes Frellsen
3 months ago
This position has expired. You can find similar positions from the section below or browse our positions listing pages.
PhD in Uncertainty Quantification for Large Language Models at DTU Compute Technical University of Denmark in Denmark
Degree Level
PhD
Field of study
Computer Science
Funding
3-year PhD position starting in fall 2026. Funding details are not specified in the post, but this is a paid doctoral opening at DTU Compute.
Deadline
Expired
Country
Denmark
University
Technical University of Denmark
Suggested positions
Keywords
About this position
DTU Compute is hiring a PhD student to work on uncertainty quantification for large language models. The project focuses on making LLMs more trustworthy by enabling them to quantify confidence in their outputs using principled uncertainty quantification methods that scale to modern model sizes.
The position is announced by Jes Frellsen, Associate Professor at the Technical University of Denmark (DTU). The project is in collaboration with Christian Hardmeier (ITU/P1) and Hannah Rohde (University of Edinburgh).
Research areas: probabilistic machine learning, uncertainty quantification, large language models, generative AI, trustworthy AI, natural language processing.
Eligibility/preferences: an ideal candidate has a background in probabilistic ML and some experience with LLMs. The post is a 3-year PhD starting in fall 2026.
Deadline: 7 August 2026.
How to apply: submit your application through the DTU jobs portal using the provided link. Review the job posting carefully and prepare the required application documents before the deadline.
Funding details
3-year PhD position starting in fall 2026. Funding details are not specified in the post, but this is a paid doctoral opening at DTU Compute.
What's required
Applicants should have a background in probabilistic machine learning and some experience with large language models. The post implies a research-oriented PhD candidate suitable for work on uncertainty quantification methods scaled to modern model sizes.
Make your next move.
Prepare your application
Review drafts and confirm requirements with the university.
Professors
Associate Professor
Denmark
Research Interests
Radiology
Medical Imaging
Transfer Learning
Artificial Neural Network
Rheology
Make your next move.
Prepare your application
Review drafts and confirm requirements with the university.