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Milica Gasic

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PhD in Natural Language Processing and Natural Language Generation at Heinrich Heine University Düsseldorf Heinrich Heine University Düsseldorf in Germany

Degree Level

PhD

Field of study

Computer Science

Funding

Full funding available

Deadline

Jul 21, 2026

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Country

Germany

University

Heinrich Heine University Düsseldorf

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Keywords

Computer Science
Information Technology
Mathematics
Natural Language Processing
Computational Linguistics
Programming Language
Linguistics
Machine learning

About this position

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.

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

More information can be found here

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