Artificial Intelligence Researcher for Transparent Foundational Models
hace 1 semana
About Us
Barcelona Supercomputing Center (BSC-CNS) is the leading supercomputing center in Spain, housing Mare Nostrum, one of Europe's most powerful supercomputers. Our mission is to research, develop, and manage information technologies to facilitate scientific progress.
Funding Opportunity
This position is funded by the European Union Recovery and Resilience Facility - Next Generation, under the General Invitation by Red.es, to participate in talent attraction and retention programs within Investment 4 of Component 19 of the Recovery, Transformation, and Resilience Plan.
Job Description
We are seeking a researcher to contribute to our High Performance Artificial Intelligence research group, focusing on increasing the transparency and understanding of foundational models. This role involves reviewing the state-of-the-art for Explainable AI (XAI), with a focus on foundational models and Large Language Models (LLMs).
Key Responsibilities
- Contribute to the review of the state-of-the-art for XAI, focusing on foundational models and LLMs
- Identify in-house or external data sources and lead the data gathering and pre-processing pipelines
- Design and train AI models using reliable, reproducible, and automated training and evaluation methodologies
What We Offer
- Competitive salary: €50,000 - €70,000 per year, depending on experience
- Opportunities for professional growth and development in a dynamic research environment
- A chance to contribute to cutting-edge research in AI safety and transparency
Requirements
- Master's or Ph.D. in Computer Science, Mathematics, or a related field
- Strong background in machine learning and AI research
- Excellent programming skills in languages such as Python or R
- Experience with large-scale data processing and management
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