The Computational Social Science and Humanities program envisions preparing the social sciences and humanities for the era of data, artificial intelligence (AI), and Exascale supercomputing. Our mission is to foster collaboration between social scientists and computer scientists, making high-performance computing (HPC) accessible to all researchers in the field. Through innovative approaches, we aim to apply social science and humanities research to contribute valuable insights for informed policy making. In our pursuit, we focus on a wide range of key societal research areas such as Equity and Welfare, Education, Social Services and Labor Market, Public Opinion and Political Communication in (Social) Media, Social-Ecology, Science and Technology Studies, Archived History, Archeology and Cultural Heritage. Employing a mixed of advanced AI/ML models, including Large Language Models (LLMs), Agent-Based Modeling (ABM), and Social Network Analysis (SNA), we use high-performance computational methods to a wide range of large datasets, such as official statistics, surveys, social media,



web-tracking data, news, laws, bibliometric data, historical archives, current data archives, archaeology data, citizen volunteered data, and public administration and industry data.
We are seeking an enthusiastic and rigorous researcher to work at the intersection of computational linguistics, natural language processing, literature and historical linguistics. The successful candidate will be part of the Computational Humanities group and contribute to two projects, focusing on (1) quantitative analysis of linguistic style across five centuries of literary data and (2) evaluation and adaptation of language models for Medieval texts.
Key Duties
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. Ap

📌 Researcher in Computational Linguistics and NLP for the Humanities (España)
🏢 HiPEAC
📍 España