research assistant (m/f/d)
(E 13 TV-G-U)
for a period of three years within the ENTAILab project – research infrastructure and innovation lab. The salary scale is based on the job characteristics of the collective agreement applicable to Goethe University (TV-G-U).
The project is part of the priority program (SPP) New Data Spaces for the Social Sciences, which is funded by the German Research Foundation (DFG) (see https://www.new-data-spaces.de). The aim of the project is to establish a research-oriented infrastructure for novel 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 thus not primarily or exclusively linguistic research data.
You are expected to collaborate in the project and actively participate in the workshops and events of the SPP. We are looking for a highly qualified individual with a keen interest in working in the field of cutting-edge research infrastructures and in the team-oriented development and application of innovative, research-oriented methods in the field of survey research and the 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-strong, internationally oriented working environments in the areas of computational humanities, multimodal computing, machine learning and artificial intelligence. This also includes financial resources for conference participation and individual career development.
Requirements:
· Completed academic university degree (e.g. Master’s) in a relevant subject with a focus on information science
· Very good knowledge of English (C1)
· Proven experience in the field of databases and machine learning or artificial intelligence methods
· Extensive programming knowledge in Java, Python or similar
· Knowledge of container 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 combined PDF document by 08.10.2024 to Prof. Dr. Alexander Mehler: mehler@em.uni-frankfurt.de.