The Barcelona Supercomputing Center - Centro Nacional de Supercomputación (BSC-CNS) is the leading supercomputing center in Spain. It houses Mare Nostrum, one of the most powerful supercomputers in Europe, was a founding and hosting member of the former European HPC infrastructure PRACE (Partnership for Advanced Computing in Europe), and is now hosting entity for Euro HPC JU, the Joint Undertaking that leads large-scale investments and HPC provision in Europe. The mission of BSC is to research, develop and manage information technologies in order to facilitate scientific progress. BSC combines HPC service provision and R&D into both computer and computational science (life, earth and engineering sciences) under one roof, and currently has over 1000 staff from 60 countries.

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We are particularly interested for this role in the strengths and lived experiences of women and underrepresented groups to help us avoid perpetuating biases and oversights in science and IT research. In instances of equal merit, the incorporation of the under-represented sex will be favoured.

We promote Equity, Diversity and Inclusion, fostering an environment where each and every one of us is appreciated for who we are, regardless of our differences.

If you consider that you do not meet all the requirements, we encourage you to continue applying for the job offer. We value diversity of experiences and skills, and you could bring unique perspectives to our team.

The Computational Social Science 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 research to contribute valuable insights for informed policymaking. In our pursuit, we focus on a wide range of key societal research areas such as Population changes and living arrangements, Democratic Quality, Social Media and Information Environment, Social-Ecology, Education and Labor Market, Law technologies, Social Innovation, and History and Cultural Heritage. Employing a mix of complex statistical models, AI/Machine Learning, Large Language Models (LLMs), Agent-Based Modeling (ABM), Social Network Analysis (SNA), among others, our advanced computational methods are applied to diverse datasets from official statistics, surveys, social media, news, laws, historical archives, current data archives, citizens' volunteered data, government and industry data.

We are seeking a dynamic and motivated Research Intern to join our team. This internship is ideal for candidates pursuing studies in philosophy, politics, economics, or related disciplines and are eager to develop their research skills in a professional, interdisciplinary environment. The intern will contribute to various research projects, develop reports, and support the team with analysis related to public policy, international law, economics, and social development.