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.

High-Performance Artificial Intelligence (HPAI) is an international and diverse research group that is at the forefront of innovation. HPAI conducts fundamental and responsible research in AI, ensuring that our work is always ethical and trustworthy.

One of our main lines of research is on the interpretability and explainability of artificial intelligence systems, especially in those cases where such systems can be used in decision-making processes that may impact humans. This entails ethical and social implications that need to be addressed, and examples of this kind of systems include virtual or physical agents that must collaborate with humans or those used as an aid for diagnostics, i.e. in medicine. The main objective of this vacancy is to conduct research on the inherent interpretability and explainability of the models used in these systems, as well as the possible mechanisms that can be integrated into the models in order to increase trustworthiness via a explainable-by-design approach. The methods to be explored and applied are multidisciplinary, including (but not limited to) formal logics, epistemology, causal theory, computational linguistics and machine learning, and the types of AI models to study may include (but are not limited to) agents, multi-agent systems, large language models, and decision-support systems.

The funding for these actions/fellowships and contracts comes from the European Union Recovery and Resilience Facility - Next Generation, within the framework of the General Invitation by the public business entity Red.es to participate in the talent attraction and retention programs within Investment 4 of Component 19 of the Recovery, Transformation, and Resilience Plan.
For more information, please check: https://www.bsc.es/join-us/excellence-career-opportunities/ai4s