Research Scientist

hace 4 semanas


Barcelona, Barcelona, España Barcelona Supercomputing Center (Bsc) A tiempo completo

About the Role

We are seeking a highly skilled Research Scientist to join our team at the Barcelona Supercomputing Center (BSC). As a Research Scientist, you will be responsible for conducting research on explainability of artificial intelligence models, with a focus on agent-based models. Your work will involve developing novel models for generating telic explanations that allow research practitioners and end users to understand the behavior of virtual and physical agents, predict their expected actions, and trust their behavior.

About the Team

Our team, High-Performance Artificial Intelligence (HPAI), is an international and diverse research group that is at the forefront of innovation. We conduct fundamental and responsible research in AI, ensuring that our work is always ethical and trustworthy. Our methods are multidisciplinary, including formal logics, epistemology, causal theory, computational linguistics, and machine learning.

About the BSC

The Barcelona Supercomputing Center (BSC) is the leading supercomputing center in Spain. We house Mare Nostrum, one of the most powerful supercomputers in Europe, and are a founding and hosting member of the former European HPC infrastructure PRACE. Our mission is to research, develop, and manage information technologies to facilitate scientific progress. We combine HPC service provision and R&D into both computer and computational science under one roof, with over 1000 staff from 60 countries.

What We Offer

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. We value diversity of experiences and skills, and you could bring unique perspectives to our team. If you consider that you do not meet all the requirements, we encourage you to continue applying for the job offer. We are particularly interested in the strengths and lived experiences of women and underrepresented groups to help us avoid perpetuating biases and oversights in science and IT research.


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