PhD in Uncertainty Quantification for Large Language Models at DTU Compute Technical University of Denmark in Denmark

PhD opening at the University of Würzburg in Germany for a mathematically inclined candidate interested in natural language processing , large language models , and the theory of hallucinations in AI. The position is in Damien Garreau’s small and growing theoretically oriented group focused on explainable AI and trustworthy AI . The research topic is explicitly framed as a theoretical study of hallucinations in large language models, making it a strong fit for candidates with interests in machin...

Postdoc opportunity at the Digital Democracy Centre , University of Southern Denmark (SDU), for a 2-year postdoctoral researcher in political language and NLP/LLMs . The position is part of an interdisciplinary team working in computational political communication , digital democracy , and media and democracy research. The postdoc will be based in Odense, Denmark , with a start date in February 2027 . This opening is especially relevant for candidates with interests in political science , comput...

Integreat and TRUST are recruiting PhD fellows in machine learning, NLP, and AI at the University of Oslo and UiT. One of the openings is Project #3: Data attribution for large language models , based at the University of Oslo, Faculty of Mathematics and Natural Sciences, Department of Mathematics. This project focuses on a major explainability challenge in modern AI: tracing which parts of the training data influence an LLM’s answers. The research aims to develop scalable data attribution metho...

Integreat is recruiting 8 fully funded PhD fellows in Norway in knowledge-driven machine learning, with positions at the University of Oslo and UiT The Arctic University of Norway . One highlighted project is Data attribution for large language models , focused on understanding which parts of training data influence LLM outputs and how to disentangle factual versus linguistic effects. This PhD project sits at the intersection of computer science , machine learning , natural language processing ,...

George Washington University, via the NIST Professional Research Experience Program (PREP), is hiring a Post-Doctoral Fellow for AI uncertainty quantification and conformal prediction in Gaithersburg, Maryland at the NIST campus. The project focuses on making black-box AI systems more mathematically honest under shifted or out-of-distribution data. The fellow will build a Python-based numerical testbed for complex sequential decisions, integrate distribution-free statistical theory into deep lea...