Fakultät IV: Elektrotechnik und Informatik - ISTI - Quality and Usability Lab
Student assistant (80 hours per month)
Tasks
The main tasks are:
1. Supporting fine-tuning of LLMs (e.g. BERT-based, GPT) for disinformation narrative detection and/or 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%)
Requirements
Must:
- Knowledge of machine learning, neuronal modeling and statistical methods (Python/R, and ideally PyTorch and Tensorflow)
- Good knowledge of German and/or English required; willingness to acquire the respective missing language skills
Can:
- Ideally knowledge in the domain of xAI and Human-Computer Interaction
- Result-oriented team player with problem-solving skills and high self-motivation
How to apply
Party responsible for specialist area / point of contact for job posting: Vera Schmitt, Irene Hube-Achter
Period of employment: immediately until 31.08.2027
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.
Facts
Published | 06.03.2025 |
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Category | Student assistant |
Category TU Berlin | Student assistant without teaching duties, Beschäftigungsangebote für Studierende |
Area of responsibility | Computer science, Software development |
Start date (earliest) | Earliest possible |
Duration | limited until 31.08.2027 |
Full/Part-time | 80 hours per month |
Salary | 14,32 Euro pro Std. |
Requirements
Degree Program | Computer science |
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Apply
Application deadline | 20.03.2025 |
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Reference number | IV-SB-0011-2025 |
By email | bewerbung@qu.tu-berlin.de |