Research Assistant​/Doctoral in Argumentative AI and Natural Language Processing; NLP

Research Assistant/Doctoral Candidate in Argumentative AI and Natural Language Processing (NLP) (m/f/d)

2 days ago Be among the first 25 applicants

• 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 development of evaluation standards in AI reasoning
• The position is linked to a doctorate in this subject area.

• 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

Our research at the Chair of Data Science and Natural Language Processing at the Institute of Computer Science (ICS‑HSG) focuses on 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.

We look forward to your online application stating the job .
Apply here.

• Entrepreneurial environment with highly qualified experts
• Modern IT infrastructure and nationwide access to scientific information via HSGswisscovery
• Support for internal and external executive education opportunities
• Promoted cross‑functional collaboration and networking
• Flexible work time models, part‑time positions, 16 weeks maternity leave, subsidised crèche and childcare support
• Equal opportunities for all employees and students; commitment to diversity across teaching, research, administration
• Health and fitness support: sports activities, corporate health management, free fruit, and discounted meals in the canteen

The University enables equal opportunities for all employees and students. This applies to degree courses and work, as well as academic careers, university management positions and the reconciliation of studies, work and private commitments. We are committed to this with various measures in the areas of teaching, research, administration and the Presidency.