Research Assistant/Doctoral Candidate in Argumentative AI and Natural Language Processing (NLP) (m/f/d)
Research Assistant/Doctoral Candidate in Argumentative AI and Natural Language Processing (NLP) (m/f/d)
Research Assistant/Doctoral Candidate in Argumentative AI and Natural Language Processing (NLP) (m/f/d)
Research Assistant/Doctoral Candidate in Argumentative AI and Natural Language Processing (NLP) (m/f/d)
Universität St.Gallen
Forschung
St. Gallen
- Art der Beschäftigung: Teilzeit
- 87.500 CHF – 106.500 CHF (von XING geschätzt)
- Vor Ort
- Zu den Ersten gehören
Research Assistant/Doctoral Candidate in Argumentative AI and Natural Language Processing (NLP) (m/f/d)
Über diesen Job
Research Assistant/Doctoral Candidate in Argumentative AI and Natural Language Processing (NLP) (m/f/d)
100 %
(limited, immediately or upon agreement)
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
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.
We are looking forward to your online-application stating the job ID 1576
Inspirational Work Environment
At the HSG, as Europe's leading business university, we operate in an entrepreneurial environment where you will meet highly qualified, ambitious experts - both regionally and internationally. For example, you benefit from a modern IT infrastructure and, in our library via HSGswisscovery, from nationwide access to the wealth of scientific information available.
Executive Education
We support internal and external executive education opportunities. Our internal executive education programme offers you a practical, dedicated and didactically mature transfer of knowledge in the form of seminars, e-learning, coaching and collegial advice. We support task-specific external training and executive education financially as well as with regard to the time required.
Network
We promote our culture of cross-functional collaboration and create space for forging valuable relationships - also with external partners. Regular exchanges and internal events help to strengthen these relationships and make them long-lasting.
Family & Career
We provide our employees with flexible work time models with a variable number of hours per week. As a family-friendly employer, we offer part-time positions, 16 weeks of maternity leave and a subsidised crèche, as well as support with childcare during the vacations.
Equal Opportunities
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.
Fit and Healthy
We help you stay fit and healthy. In addition to our diverse range of sports activities at the university, most of which are free of charge, and campaign weeks for corporate health management, we also offer you fruit in the workplace. In our canteen you will find a wide selection of freshly prepared meals - from vegetarian to fish dishes - at discounted prices.
Full Professor for Data Science and Natural Language Processing
This newly created position offers you a unique opportunity to help shape and explore the future of AI reasoning at the cutting edge.
Prof. Dr. Christina Niklaus
Assistant Professor
Assistant Professor
This is an exciting opportunity and we encourage you to apply. If you have any questions, please don't hesitate to reach out to us.