Supporting activities under supervision in the “news-polygraph” project with the following tasks:

1. Supporting the development of approaches of eXplainabel AI (70%)
2. Supporting data analysis and data annotation: annotation of data and application of different methods from statistics and machine learning (20%)
3. Support data visualization and reporting scientific results (10%)

Must:
1. Knowledge of machine learning, neuronal modeling and statistical methods (Python/R, and ideally PyTorch and Tensorflow)
2. Good knowledge of German and/or English required; willingness to acquire the respective missing language skills

Can:
3. Ideally knowledge in the domain of xAI and Human-Computer Interaction
4. Result-oriented team player with problem-solving skills and high self-motivation

Party responsible for specialist area / point of contact for job posting: Vera Schmitt, Irene Hube-Achter
Period of employment: immediately - 30.04.2026
Apply to: bewerbung@qu.tu-berlin.de

Please submit your written application including cover letter, your CV, certificate of enrollment, and where applicable, current transcript of records, with the reference number to the place of employment indicated above.
In the interest of promoting equality opportunities for men and women, applications from women with suitable qualifications are particularly encouraged.