Research and Data Engineer
hace 3 meses
**Job Reference**:
- 625_24_DIR_CSS_RE3**Position**:
- Research and Data Engineer (RE3) - AI4S**Closing Date**:
- Saturday, 12 October, 2024**Reference**: 625_24_DIR_CSS_RE3**Job title**: Research and Data Engineer (RE3) - AI4S**About BSC**
- The 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, 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 EuroHPC 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 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.**Context And Mission**
In our pursuit, we focus on a wide range of key societal research areas such as Population and Household changes, Democratic Quality, Social Media, Public Opinion and Political Communication, Equity and Welfare in Education and Labor Market, legal systems and Legislation, Social-Ecology, Science of Science, and History, Archeology and Cultural Heritage. Employing a mixed of advanced statistical models, AI/Machine Learning, Large Language Models (LLMs), Agent-Based Modeling (ABM), Social Network Analysis (SNA), high-performance computational methods are applied to a wide range of large datasets from official statistics, surveys, social media, news, laws, historical archives, current data archives, archaeology data, citizens' volunteered and web-scraping data, and public administration and industry data.
As a research and data engineer, you will play a pivotal role in facilitating the researchers’ work, working closely with the Research units at CSSH, particularly the research unit on Wellbeing and Equity and the research unit on Complexity Science and reporting to both the head of the Data and Methods group, and the projects’ IPs. A critical part of conducting scientific analysis and implementing simulations of social and economic behavior is the access to data, and particularly working with sensitive or private data. Ensuring that utility of the analysis while preserving privacy will be a key part of the computational and data engineering work to support social science research.
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.
"La financiación de estas actuaciones/becas y contratos, procede del Mecanismo de Recuperación y Resiliencia de la Unión Europea-Next Generation, en el marco de la Invitación General de la entidad pública empresarial Red.es para participar en los programas de atracción y retención del talento dentro de la Inversión 4 del Componente 19 del Plan de Recuperación, Transformación y Resiliencia.**Key Duties**
- Assisting to computational analysis of social behavior, behavioral economics and psychology.
- Developing AI/ML methods to access and analyze multi-modal social science data from national statistics, public administration and private sector.
- Contributing to build statistical tools to analyze sensitive data (synthetic data/differential privacy).
- Developing tools to help advance research on computational social sciences and humanities in collaboration with the Computer Science and Operations departments of the BSC-CNS.
- Providing support adopting the researchers‘ code to High Performance Computing.
**Requirements**:
- Education
- Computer Science Degree or equivalent.
- MSc in Statistics or Computer Science or similar is highly desirable.
- Essential Knowledge and Professional Experience
- 4+ years of experience processing and/or analyzing large datasets for research purposes.
- Hands-on experience with the R-statistical package and/or Python, particularly for data analysis. Ability to work in both programming languages is desirable.
- Experience in the implementation of Machine Learning models.
- Practical knowledge of High-Performance Computing is a plus.
- Additional Knowledge and Professional Experience
- Fluency in English is essential. Proficiency in Spanish and other European languages would be advantageous.
- Competences
- Ability to work in a team and
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