Ivan Titov

Two PhD positions are available in a project on Uncertainty Quantification and Communication for Large Language Models . The positions are based at the IT University of Copenhagen in Denmark and are jointly led by Christian Hardmeier and Jes Frellsen , with an extended research stay at the University of Edinburgh involving Hannah Rohde and Ivan Titov . The first position focuses on natural language processing and aims to develop methods that help LLMs express uncertainty in ways humans can understand, while aligning communicated confidence with the model’s internal state. The second position focuses on machine learning and aims to develop efficient methods for quantifying uncertainty in large language models. The project sits at the intersection of computer science , information technology , statistics , mathematics , and linguistics , with a strong emphasis on data science, experimental linguistics, semantics/pragmatics, and user studies with human participants. Applicants should have a relevant degree in computational linguistics, NLP, data science, AI, computer science, experimental linguistics, or a related field, plus strong Python skills. Experience with natural language data, PyTorch, LLM training/fine-tuning/evaluation, psycholinguistic studies, and academic publishing is desirable. These are fully funded PhD positions with employment and enrollment at ITU for 3 or 4 years depending on the applicant’s degree level. Salary and employment terms follow the Danish university agreement. The application must be submitted in English and include a cover letter, CV, degree documentation, statement of purpose, and English proficiency documentation, with publications or thesis recommended if available. Deadline: 24 June 2026 for the ITU position. The post also mentions a second related PhD position at DTU with deadline 7 August 2026.