Jobs

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: .

Open Full-Time Position (E13) for FACES in SPP 2431: New Data Spaces for the Social Sciences

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 FACES – Feasibility, Acceptance, and Data Quality of New Multimodal Surveys, with the opportunity to pursue a scientific qualification (PhD). The project is part of the Infrastructure Priority Programme New Data Spaces for the Social Sciences (SPP 2431, see https://www.new-data-spaces.de/en-us/), which 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 and test an interview model in the context of survey research, data analysis methods for automatic interview modelling and the development of avatar technologies for Virtual Reality (VR) and Augmented Reality (AR) -supported interviews in survey research. Finally, a virtualized embodied interviewer will be developed and tested on this basis.

The applicant will be expected to contribute to the project and actively participate in the workshops and events of the SPP. We are looking for a highly qualified individual with a strong interest in working in the field of cutting-edge research methods, especially in the area of NLP and Virtual Reality, and in team-oriented development and application of innovative, research-oriented methods in the field of survey research and social sciences. With the SPP New Data Spaces for the Social Sciences and the Text-Technology Lab, in which the position will be embedded, we offer two research-oriented, internationally focused working environments 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 university degree (Master’s) in a relevant subject with a focus on information science.
  • Very good English language skills (C1).
  • Demonstrable experience in the field of VR or AR systems and methods of machine learning or artificial intelligence.
  • Extensive programming skills in Java, Python or similar.
  • Extensive knowledge of C# and the use of Unity.
  • An interest in social science issues is desirable.

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: .

Two Open Positions (E13) for ENTAILab in SPP 2431: New Data Spaces for the Social Sciences

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, two positions for

Research Assistants (m/f/d)
(E 13 TV-G-U, 75% part-time)

are available at the next possible date for a period of three years within the project ENTAILab – Research Infrastructure and Innovation Laboratory, with the opportunity to pursue a scientific qualification (PhD). The two positions can be divided into one full-time and one 50% position by mutual agreement. The project is part of the Infrastructure Priority Programme New Data Spaces for the Social Sciences (SPP 2431, see https://www.new-data-spaces.de/en-us/), which 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 establish a research-oriented infrastructure for new types of data in survey research. To this end, a method-oriented innovation laboratory for novel methods in survey research is to be set up, which will develop and test methods of machine learning and artificial intelligence in cooperation with the projects of the SPP. The subject of the methods to be developed is multimodal data and therefore not primarily or exclusively linguistic research data.

The applicant is expected to contribute to the project and actively participate in the workshops and events of the SPP. We are looking for a highly qualified individual with a strong interest in working in the field of cutting-edge research infrastructures, and in team-oriented development and application of innovative, research-oriented methods in the field of survey research and social sciences. With the SPP New Data Spaces for the Social Sciences and the Text-Technology Lab, in which the position will be embedded, we offer two research-oriented, internationally focused working environments 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 university degree (Master’s) in a relevant subject with a focus on information science.
  • Very good English language skills (C1).
  • Demonstrable experience with databases and methods of machine learning or artificial intelligence.
  • Extensive programming skills in Java, Python or similar.
  • Knowledge of virtualization technologies such as Docker, Kubernetes or similar.
  • An interest in social science issues is desirable.

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: .