Prof. Dr.-Ing. Michael Färber

 🎓 New: AI-related courses in the summer semester 2024
🌟 New: Hiring PhD Students, Postdocs, and student assistants. Interested? Apply via email!


Professor for Scalable Software Architectures and Data Analytics

Contact Information

Phone: +49 351 463 387 43
Office: Strehlener Str. 12-14, Room 738

Consultation hours by appointment.


Michael Färber has been a full professor (W3) for Scalable Software Architectures for Data Analytics at the AI Center ScaDS.AI, TU Dresden since April 2024. Previously, he led the Web Science research group at Karlsruhe Institute of Technology (KIT) from October 2020 to March 2024. His research interests focus on knowledge representation, machine learning, and natural language processing. Among other topics, he aims to tackle the challenge of the rising flood of information in science by extracting information from scientific papers and developing advanced search and recommender systems.

News and Achievements

  • April 1, 2024: Starting as full professor (W3) at ScaDS.AI/TU Dresden.
  • Nov 10, 2023: Best Paper Award (1000 USD) for SemOpenAlex at ISWC’23.
  • April 27, 2023: Hosted a workshop at Girls‘ Day, featuring AI & Language Models with a reserved GPU Cluster.
  • Feb – Mar, 2023: Research stay at the NII (Tokyo).
  • Oct 27, 2022: Best Poster award (300 USD) for The Green AI Ontology at ISWC’22.
  • Aug 01 – Sep 30, 2022: Guest professorship at the Digital Science Center (DiSC), University of Innsbruck.
  • Jul 12, 2022: Published a paper on Few-Shot Document-Level Relation Extraction at NAACL.

Online Presence

Online Demo Systems

Explore Prof. Färber’s recent demonstration systems:

Data Sets

Open Positions and Theses

Open student assistant jobs (SHKs)

  • In graph-based machine learning.
  • In machine learning, natural language processing, or knowledge graphs.

Current calls for Bachelor/Master thesis

  • Please ask!

Prof. Färber has supervised over 50 Bachelor and Master theses and encourages both English and German-speaking students to apply. Many thesis topics are available for study abroad through partner institutions and DAAD funding.