Milica Gasic

PhD opportunity in Natural Language Processing and Natural Language Generation at Heinrich Heine University Düsseldorf , in the Dialog Systems and Machine Learning Group led by Prof. Milica Gasic . The project is funded through a DFG grant on Curriculum learning in natural language generation and focuses on understanding and reducing hallucinations in NLG models, with particular attention to relations with theory of mind and uncertainty modelling. Research areas: NLP, machine learning, computational linguistics, curriculum learning, hallucination reduction, uncertainty modelling. Eligibility highlights: applicants should hold or be close to completing a master's degree in Computer Science, Mathematics, Engineering, Computational Linguistics, or a related field. Prior exposure to NLP or machine learning is desirable. Strong programming skills are essential, and candidates should be fluent in English with good writing skills. German is not required. Funding: the position is partly funded, full-time, and paid according to EG 13 TV-L . It includes a modest teaching duty (2 SWS) and is initially a one-year fixed-term contract, with possible extension based on satisfactory performance. Application window: published 2026-06-15, apply by 2026-07-21 . Preferred start date is 2026-10-01 (negotiable). Apply via the university careers portal using the official job posting link.