The Technische Universität Dresden is offering a fully funded PhD position in the Center for Interdisciplinary Digital Sciences (CIDS), specifically at the Chair of Scalable Software Architectures for Data Analytics under the supervision of Prof. Dr.-Ing. Michael Färber. The position is part of the AICOM project, funded by the Saxon State Ministry and Development Bank of Saxony, and aims to develop a trustworthy, energy-efficient AI assistance system that integrates large language models (LLMs) with a knowledge graph to provide verifiable, explainable, and reliable answers for companies. The research will focus on Natural Language Processing (NLP), LLMs, knowledge graphs, and graph machine learning, with applications in improving internal communication, documentation, and decision-making within organizations.

The position starts on April 1, 2026, and runs until September 30, 2028, with the possibility of extension. The successful candidate will conduct scientific research in the core areas of AI, NLP, and knowledge graphs, collaborate on national and international research projects (including with industry partners), present and publish research results at top-tier conferences and journals, and support students in related projects or theses. Access to high-performance computing resources and ScaDS.AI training is provided.

Applicants must have an MSc or equivalent in Computer Science, Artificial Intelligence, Mathematics, Physics, Computational Linguistics, Advanced Information Science, or a related field. Strong programming skills (preferably Python) and experience with deep learning frameworks such as PyTorch or TensorFlow are required. Candidates should have research interest and experience in LLMs, NLP, and knowledge graphs, as well as good English communication skills, analytical thinking, independence, and motivation. Prior research experience is a plus. The university encourages applications from women and individuals with disabilities and promotes diversity, inclusion, and family-friendly policies.

The position is fully funded (E 13 TV-L salary group) and offers opportunities for further academic qualification (usually a PhD). To apply, submit your cover letter, CV, diplomas, and supporting documents as a single PDF quoting the reference 'ScaDS.AI Färber AICOM' by February 4, 2026, via email to [email protected], through the TUD SecureMail Portal, or by post to the address provided. For more information, visit the official vacancy page.