LLM-Driven NLP Researcher for the Humanities

Barcelona Supercomputing Center; Madrid; Presencial; EUR 45.000 - 65.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Restaurant tickets

Private health insurance

Relocation support

Descripción de la vacante

Barcelona Supercomputing Center (BSC-CNS) is seeking a Researcher in Computational Linguistics and NLP for the Humanities to work at the intersection of linguistics, computer science and history. The role focuses on adapting and evaluating language models for medieval literature, developing metrics for stylistic shift, and contributing to open data and reproducible research practices.

The successful candidate will join the Computational Humanities group and collaborate on projects spanning five

Formación

• PhD in Computational Linguistics, NLP, Computational Humanities, Computer Science or related field.

Responsabilidades

• Adapt and fine-tune Large Language Models (LLMs) for low-resource languages or domains for downstream NLP tasks.
• Develop and implement innovative computational metrics to quantify stylistic innovation and deviation from linguistic norms over time.
• Apply diachronic NLP methods to identify pivot points in literary history and track the evolution of style.
• Establish evaluation frameworks to measure model performance against historical language benchmarks.
• Publish findings in top-tier NLP, Computational Linguistics or Computational Humanities conferences or journals.
• Contribute to public release of datasets, models, and reproducible code following FAIR principles.

Conocimientos

Python

Deep learning

LLMs fine-tuning

Historical NLP

Git

English fluency

Educación

PhD in Computational Linguistics or related field

Herramientas

Hugging Face

Descripción del empleo

Barcelona Supercomputing Center (BSC-CNS) is seeking a Researcher in Computational Linguistics and NLP for the Humanities to work at the intersection of linguistics, computer science and history. The role focuses on adapting and evaluating language models for medieval literature, developing metrics for stylistic shift, and contributing to open data and reproducible research practices.

The successful candidate will join the Computational Humanities group and collaborate on projects spanning five