PhD scholarship

DTU Compute is advertising a PhD scholarship in Uncertainty Quantification for Large Language Models, an interdisciplinary research opportunity at the intersection of computer science, statistics, and artificial intelligence. The project focuses on trustworthy AI and machine learning, with an emphasis on understanding and quantifying uncertainty in large language models.

This is a PhD opening at the Technical University of Denmark. The post highlights that the position is aimed at candidates who are passionate about machine learning and interested in ambitious, interdisciplinary research. No detailed eligibility list is included in the post excerpt, so applicants should consult the official vacancy page for full requirements, project details, and any department-specific expectations.

Funding: The post is described as a scholarship position, indicating funded doctoral support, but no stipend amount or tuition details are provided in the text shared here.

Deadline: 7 August 2026.

How to apply: Use the DTU Career Site application page linked in the post. Review the full job description and submit the application before the deadline.

Keywords: machine learning, trustworthy AI, uncertainty quantification, large language models, artificial intelligence.