🇩🇪 Research Associate / PhD Student / PostDoc Opportunity | TU Dresden, Dresden, Germany
🔬 Position: NLP, Large Language Models & Knowledge Graphs
(
ScaDS.AI Dresden — E 13 TV-L)
TU Dresden’s Department for Scalable Data Analytics and Artificial Intelligence (
ScaDS.AI) is seeking a researcher at PhD or PostDoc level to advance the frontiers of Natural Language Processing, Knowledge Graphs, and Large Language Models!
📌 What’s the Role About?
Based at the Chair of Scalable Software Architectures for Data Analytics (Prof. Dr. Michael Färber), this position focuses on cutting-edge foundational AI research, including:
✅ Combining Language Models with Knowledge Graphs
✅ Developing truthful/citable Large Language Models
✅ Graph Machine Learning & Recommender Systems
✅ Collaboration in national & international research projects (incl. industry)
✅ Scientific teaching (seminars) & presenting research results and prototypes
🏢 Department
ScaDS.AI — Department for Scalable Data Analytics & AI
Center for Interdisciplinary Digital Sciences (CIDS), TU Dresden
👨🏫 Supervisor
Prof. Dr. Michael Färber — Chair of Scalable Software Architectures for Data Analytics,
ScaDS.AI
📧 jobs-scads.ai@tu-dresden.de
🔖 Job reference:
ScaDS.AI Färber E 13
💰 Salary & Benefits
✔️ Salary group E 13 TV-L (German public sector pay scale)
✔️ 24-month contract with option for extension
✔️ Access to high-performance computing (HPC) resources
✔️ Training opportunities within
ScaDS.AI
✔️ Position aims at further academic qualification (PhD or PostDoc)
✔️ Family-friendly university with flexible arrangements
✔️ Women and candidates with disabilities especially encouraged to apply
🎓 Who Should Apply?
➡️ MSc (or PhD for PostDoc applicants) in Computer Science, Data Science, Machine Learning, Computational Linguistics or related field
➡️ Experience in NLP, Knowledge Graphs, Machine Learning or Recommender Systems
➡️ Strong interest in foundational research
➡️ Strong programming skills — preferably Python
➡️ Good written & spoken English
📄 How to Apply (single PDF via TUD SecureMail — preferred):
→ Cover letter, CV & supporting documents
→ Reference: “
ScaDS.AI Färber E 13”
→ Via:
securemail.tu-dresden.de → jobs-scads.ai@tu-dresden.de
→ OR by post: TU Dresden,
ScaDS.AI, Prof. Dr.-Ing. Michael Färber, Helmholtzstr. 10, 01069 Dresden
⚠️ Submit copies only — documents will not be returned
📅 Application Deadline: 22 April 2026 ⚠️ Closing very soon!
🗓️ Start Date: Earliest possible
🔗 Apply & Learn More:
phdscanner.com/opportunities…
🤖 Work on the next generation of truthful, citable AI systems — at one of Germany’s leading AI research centres!
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