***Apologues or cross-postings***
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 PhD 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. 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: mehler@em.uni-frankfurt.de.