PhD Computational Semantic Representations: a Multilingual Language-Change Study

Can AI decode the hidden history of words? Join us to use computational models to track how synonyms evolve across time.

Why do word meanings appear or vanish over centuries? In this position, you will develop, evaluate, and fine-tune cutting-edge AI methods—LLMs, word embeddings, and clustering—to track how word meanings evolve across multilingual historical corpora. You will test whether these patterns are universal and build a robust open-source pipeline, and join an interdisciplinary team combining semantic representation, multilingual NLP, and computational historical linguistics. You will study generalization across languages and domains, with applications to Social and Behavioural Sciences. 

Your job

The Department of Methodology & Statistics at the Faculty of Social and Behavioural Sciences has a job opening for PhD candidate. In the position of PhD candidate, you are responsible for conducting original resear...