Open Full-Time Position (E13) in Semi-Automated Thematic Text Classification as a Basis for Corpus Linguistic Value-Added Services

At the Institute of Computer Science (Prof. Dr. Alexander Mehler, TTLab, https://www.texttechnologylab.org/), Department of Computer Science and Mathematics at Goethe University Frankfurt, one position for a

Research Assistant (m/f/d)
(E 13 TV-G-U)

is available at the next possible date for a period of three years within the project Semiautomated Thematic Text Classification as a Basis for Corpus Linguistic Value-Added Services, with the opportunity to pursue a scientific qualification (PhD). The project is funded by the German Research Foundation (DFG). The salary group classification is based on the job characteristics determined by the collective labour agreement in effect for the Goethe University (TV-G-U).

The aim of the project is to develop a deep learning-based topic classification system using the Wikipedia category system and data from the Wikidata project, and to develop and test topic models based on this classification system for the automatic classification of texts, including those from the Leibniz Institute for the German Language (IDS) in Mannheim. The project will be carried out in cooperation with the IDS and the Saxon Academy of Sciences in Leipzig. The research will focus on state-of-the-art AI methods, in particular generative AI methods.

The applicant is expected to engage in the project and actively participate in courses, workshops, and events of the project. We are looking for a highly qualified individual with a strong interest in research methods in the fields of AI and topic modeling as well as in the team-oriented development and application of innovative, research-oriented methods in the field of text modeling. With the Text-Technology Lab, in which the position will be embedded, we offer a research-oriented, internationally focused working environment in the fields of computational humanities, multimodal computing, machine learning and artificial intelligence. This includes funding for conference attendance and individual career development.

Requirements

  • Completed academic degree (Master’s or equivalent) in computer science, computational humanities, computational linguistics or a field related to text modelling and AI.
  • Experience in the development and testing of NLP or AI methods.
  • Extensive programming knowledge in Java, Python or similar.
  • An interest in issues relating to information science is desirable but not essential.

Please send your application with the usual documents (cover letter, CV, copies of certificates) electronically in a summarized PDF document by 14.05.2024 to Prof. Dr. Alexander Mehler: .