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Research Engineer In Data Management And Processing
hace 2 meses
.Reference: 537_24_DIR_CSS_RE3Job title: Research Engineer in Data Management and Processing (RE3) - AI4SAbout BSCThe Barcelona Supercomputing Center - Centro Nacional de Supercomputación (BSC-CNS) is the leading supercomputing center in Spain. It houses MareNostrum, one of the most powerful supercomputers in Europe, and is a founding member of the former European HPC infrastructure PRACE (Partnership for Advanced Computing in Europe). BSC's mission is to research, develop, and manage information technologies to facilitate scientific progress, combining HPC service provision and R&D under one roof.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. 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 everyone is appreciated for who they are, regardless of differences.Context And MissionThe Computational Social Science and Humanities Program envisions preparing the social sciences and humanities for the era of data, 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. We focus on key societal research areas such as Population and Household changes, Democratic Quality, Social Media, Public Opinion, and Political Communication, among others.As a research engineer and data scientist, you will play a pivotal role in facilitating researchers' work, working closely with the Research units at CSSH and reporting to both the head of the Data Scientists group and the projects' IPs. The funding for these actions comes from the European Union Recovery and Resilience Facility - Next Generation.Key DutiesDeveloping workflows for collecting, processing, and curating bibliometric and textual data related to scientific production and policies.Implementing AI, Machine Learning, Network Analysis, and text classification models.Ensuring group analyses replicability and data sharing under FAIR conditions.Developing research tools to advance research in computational social sciences and humanities.Providing support for adopting researchers' code to High Performance Computing.RequirementsEducationEngineering Degree or equivalent. MSc in Statistics, Computer Science, or similar is highly desirable.Essential Knowledge and Professional Experience4 to 10 years of experience curating, managing, and/or analyzing large datasets for research. Experience with textual data is highly desirable. Extensive hands-on experience with R and/or Python for data curation and management is essential. Experience in implementing Machine Learning models and Natural Language Processing technologies is required
