Postdoctoral Researchers in NLP, AI, and Trustworthy Human–AI Collaboration at TU Darmstadt Technical University of Darmstadt in Germany

Postdoctoral Researchers in NLP & AI (m/f/d) are being recruited at the UKP Lab, Technical University of Darmstadt, Germany. The lab is led by Prof. Dr. Iryna Gurevych and is part of a strong research ecosystem including ELLIS, Konrad Zuse School ELIZA, hessian.AI, and ATHENE.

This opening is aimed at outstanding researchers in Natural Language Processing, Artificial Intelligence, Machine Learning, and related areas who want to shape trustworthy and applied AI. Priority directions include trustworthy and agentic AI, evaluation science and verification-first AI, interpretability and robustness, human–AI collaboration, AI for science and scholarly NLP, misinformation and provenance, privacy-preserving and health NLP, legal and argumentative NLP, and foundational work on reasoning, planning, efficient models, and multilingual/multimodal systems.

The post is especially relevant for candidates interested in research on agent reliability, tool use, long-horizon planning, evaluation and verification, human-centered NLP, AI-assisted science, fact-checking, AI-text forensics, privacy-preserving adaptation, and high-stakes domain applications. The lab emphasizes open-source tools and internationally visible research, including systems such as Sentence Transformers and AdapterHub.

Eligibility highlights include a completed or near-completed PhD or Master degree in Computer Science, NLP, Machine Learning, HCI, or a related field; a strong publication record at top venues such as ACL, NeurIPS, ICML, ICLR, EMNLP, NAACL, or CHI; strong programming skills; and the ability to work independently while collaborating across disciplines. Excellent English is required. Experience mentoring students, contributing to open source, or securing third-party funding is desirable.

Funding and conditions: the position is full-time with TV-TU E13 remuneration, initially for 2 years with an optional extension. The role is based in Darmstadt and offers strong infrastructure, compute support, engineering support, and mentorship toward research independence.

How to apply: submit a single PDF with a cover letter describing your research interests and fit, a full CV with publication list, a 1–2 page research statement, and the names/contact details of two referees. Applications should be submitted through the UKP careers portal. Review is continuous, so early application is encouraged.