Prof. Dr. Martin Potthast

Prof. Dr. Martin Potthast

Professor

Intelligent Language Technologies
Paulinum
Augustusplatz 10
04109 Leipzig

Abstract

Martin Potthast holds the chair of Intelligent Language Technologies at Leipzig University. His research focuses on language technologies, search engines, and the analysis and synthesis of information. Martin contributes to the research areas of Information Retrieval, Natural Language Processing and Artificial Intelligence. Some of his contributions have been awarded scientific prizes.


Professional background: Martin Potthast studied computer science at the University of Paderborn (2001-2006) and successfully completed his doctorate at the Bauhaus-Universität Weimar in December 2011, where he also worked as a postdoctoral researcher at the Digital Bauhaus Lab. In October 2017, he was appointed junior professor (tenure track) at Leipzig University. Since July 2022, he has been a member of the board of the ScaDS.AI Center for Scalable Data Analytics and Artificial Intelligence. In October 2023, Martin was appointed Professor of Intelligent Language Technologies.

Professional career

  • since 10/2023
    Professor for Intelligent Language Technologies at Leipzig University
  • 10/2017 - 09/2023
    Junior-Professor for Text Mining and Retrieval at Leipzig University
  • 01/2012 - 09/2017
    Postdoc and Tech Lead at the Digital Bauhaus Lab at Bauhaus-Universität Weimar
  • 06/2006 - 12/2011
    Research assistant with the Web Technology and Information System Group at the Bauhaus-Universität Weimar
  • 10/2001 - 06/2006
    Study of computer science at Paderborn University

Education

  • since 12/2011
    Dr. rer. nat. in computer science at Bauhaus-Universität Weimar (summa cum laude)
  • since 06/2006
    Diploma degree in computer science (with honors)
  • since 01/2005
    Bachelor of computer science

Panel Memberships

  • since 07/2022
    Board member of the ScaDS.AI Center for Data Analytics and Artificial Intelligence

Research fields

Computer science

Specializations

  • Suchmaschinen
  • Verarbeitung natürlicher Sprache

Contact for media inquiries

Phone: +49 341 97-32382