Publisher
source

Technische Universität Darmstadt

Postdoctoral Researcher in AI/ML and Natural Language Processing for ERC Advanced Grant InterText Technical University of Darmstadt in Germany

Degree Level

Postdoc

Field of study

Computer Science

Funding

Full funding available

Deadline

Expired

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Country

Germany

University

Technische Universität Darmstadt

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Keywords

Computer Science
Information Technology
Artificial Intelligence
Natural Language Processing
Statistics
Data Aggregation
Machine learning

About this position

Postdoctoral Researcher opportunity at the Ubiquitous Knowledge Processing (UKP) Lab, Technical University of Darmstadt, within the ERC Advanced Grant InterText. The position is led by Prof. Iryna Gurevych and focuses on AI/ML with an emphasis on Natural Language Processing.

The research agenda centers on multi-document reasoning, long-context modeling with LLMs, retrieval-augmented generation, evidence aggregation, cross-document inference, and faithful grounding. Strong application areas include AI for Science (scientific literature understanding, claim verification, hypothesis generation, researcher support) and misinformation detection (fact-checking, claim decomposition, source assessment, intertextual evidence retrieval). Human-centric and agentic approaches, including LLM agents, tool use, multi-agent collaboration, and interactive systems, are also welcome.

Applicants should have a PhD completed or near completion in NLP, Machine Learning, Computer Science, or a related field, plus a strong publication record in top-tier ML/NLP venues, intellectual independence, and fluency in English. The role includes co-advising Master's and PhD students and contributing to NLP teaching.

The deadline is 31 May 2026. Applications must be submitted via the UKP recruitment form. The position is reviewed on a rolling basis and remains open until filled.

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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