Research Engineer in Data Management and Processing

hace 2 semanas

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

**Job Reference**:

- 537_24_DIR_CSS_RE3**Position**:

- Research Engineer in Data Management and Processing (RE3) - AI4S**Closing Date**:

- Wednesday, 09 October, 2024**Reference**: 537_24_DIR_CSS_RE3**Job title**: Research Engineer in Data Management and Processing (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, tlegal 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 engineer and data scientist, you will play a pivotal role in facilitating the researchers’ work, working closely with the Research units at CSSH, particularly the research unit on Science of Science, and reporting to both the head of the Data Scientists group, and the projects’ IPs. The Science of Science research studies the dynamics of knowledge production on a global scale, examining issues such as the geographical distribution of knowledge production and circulation, the prevalence of various topics, the connectivity (or lack thereof) of scientific communities, the use of artificial intelligence techniques across different fields of study, the development of concepts, and the potential impact of science on policy, among other topics.

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**
- Developing workflows for collecting, processing, and curating bibliometric data and textual data related to scientific production and science policies from sources such as the OpenAlex collection and Semantic Scholar.
- Implementing Artificial Intelligence, Machine Learning, Network Analysis, and text classification models to pre-processed corpus including, but not limited to bibliometric data.
- Developing workflows for assuring group analyses replicability and data sharing under Findable, Accessible, Interoperable, and Reusable (FAIR) conditions.
- Developing research 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
- Engineering Degree or equivalent
- MSc in Statistics, Computer Science or similar is highly desirable
- Essential Knowledge and Professional Experience
- 4 to 10 years of experience curating, managing and/or analyzing large datasets for research purposes. Experience with textual data will be highly desirable.
- Extensive hands-on experience with the R-statistical package and/or Python, particularly for

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