We are looking forward to your online-application stating the job ID 1576
Our research at the Chair of Data Science and Natural Language Processing at the Institute of Computer Science (ICS-HSG) focuses on the areas of large language models (LLMs) and quantitative data science. You will play a key role in designing and building frameworks that will help us understand and improve how AI systems reason.
Your Tasks
- Design and develop a multi-layered evaluation framework for reasoning in Argumentative AI
- Build interactive interfaces for annotation, model evaluation, and expert feedback
- Conduct user studies to assess usability and reasoning quality of LLM-generated output
- Collaborate with domain experts to align evaluation methods with philosophical concepts
- Contribute to NLP/AI and interdisciplinary publications as well as the broader development of evaluation standards in AI reasoning
- The position is linked to a doctorate in this subject area.
Your Profile
- Master’s degree in Computer Science, Artificial Intelligence, Computational Linguistics, or a related discipline
- Demonstrated interest or experience in Natural Language Processing (NLP) and Argumentative AI
- Familiarity with Natural Language Inference (NLI), corpus creation, and evaluation methodologies is a strong plus
- Interest or experience in human–AI interaction, argumentation theory, or AI ethics is a plus
- Strong programming skills in Python
- Experience in web/frontend development (e.g., React, Vue, or similar frameworks) is an advantage
- Excellent communication and collaboration skills, including the ability to work in interdisciplinary teams
- Diligent, responsible, structured, goal-oriented, and independent working style
- Very good command of spoken and written English
