PhD Student in NLP: A 100% PhD scholarship position is available at the Department of Computational Linguistics, University of Zurich, Switzerland, focusing on Natural Language Processing. This opportunity is part of the National Centre of Competence in Research (NCCR) Evolving Language, a consortium aimed at creating a new discipline, Evolutionary Language Science.
Summary Table:
| Position | PhD Student in NLP |
|---|---|
| Percentage | 100% |
| Location | Zurich, Switzerland |
| Start Date | September 2024 |
| Duration | 4 years |
| Remuneration | **1st year: CHF 48,686.40 |
Study Area: Natural Language Processing
Scholarship Description:
PhD Student in Natural Language Processing (NLP)
The successful candidate will join the Department of Computational Linguistics and collaborate with the NCCR Evolving Languages, specifically with James Henderson. The research will focus on how multilingual language models represent knowledge, studying conditions for cross-lingual representations and utilizing interpretability methods. The project includes access to neuroimaging data to explore language model predictions on bilinguals’ brain activity.
Eligibility:
- Recent or imminent Master’s degree in computational linguistics, computer science, AI, or a related discipline
- Strong academic track record in machine learning and/or natural language processing
- Strong programming skills (Python)
- Strong communication skills (English: essential; German: desirable)
Required Documents:
- Motivation letter (up to one page)
- CV
- Transcripts from previous studies
- Two references (name, position, and e-mail address)
How to Apply: To apply, submit your application as a single PDF file (English or German) to the following email address: [Application Email]
Last Date: 05 January 2024
This scholarship offers varied and interesting work in a dynamic research group at the University of Zurich, one of Europe’s top research universities, situated in the vibrant city of Zurich, known for its high quality of life. The PhD position is remunerated according to Swiss National Science Foundation Guidelines, with guaranteed funding for 4 years. We are committed to gender balance and diversity in our hiring decisions.
