Postdoctoral Researcher for Semantic and Citation Networks (R2)

Barcelona Supercomputing Center; Barcelona; Presencial; EUR 43.000 - 52.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Restaurant tickets

Private health insurance

Relocation support

Descripción de la vacante

The Barcelona Supercomputing Center (BSC-CNS) invites applications for a Postdoctoral Researcher focused on semantic and citation networks (R2). The role blends graph theory, AI, and large-scale data to advance scholarly communication and knowledge graphs.

You will design experiments, implement tools in R and Python, analyze graph structures, and publish results. The position is based in Barcelona and offers a strong research environment with cross-disciplinary collaboration.

Formación

• Ph.D. in Complex Systems, Computer Science, Information Science or related field.
• Experience publishing in science and technology studies, with graph/network methods.
• Proficiency in R and/or Python for data curation and analysis.

Responsabilidades

• Design and implement semantic graphs for academic works using semantic similarities and co-citation patterns.
• Develop tools to explore semantic and co-citation graphs and their relations.
• Publish findings on graphs in Science & Technology Studies and related fields.

Conocimientos

English fluency

Team collaboration

Educación

Ph.D. in Complex Systems / Computer Science / Information Science

Herramientas

Python

R

Descripción del empleo

Job Reference

349_26_CSSH_R2

Position

Postdoctoral Researcher for Semantic and Citation Networks (R2)

Closing Date

Thursday, 01 October, 2026

Reference: 349_26_CSSH_R2

Job title: Postdoctoral Researcher for Semantic and Citation Networks (R2)

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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Let's stay connected with BSC Folks!

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.

Context And Mission

The Computational Social Science and Humanities program envisions preparing the social sciences and humanities for the era of data, artificial intelligence (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 in the field. Through innovative approaches, we aim to apply social science and humanities research to contribute valuable insights for informed policy making. In our pursuit, we focus on a wide range of key societal research areas such as Equity and Welfare, Education, Social Services and Labor Market, Public Opinion and Political Communication in (Social) Media, Social‑Ecology, Science and Technology Studies, Archived History, Archeology and Cultural Heritage. Employing a mixed of advanced AI/ML models, including Large Language Models (LLMs), Agent-Base Modeling (ABM), and Social Network Analysis (SNA), we use high-performance computational methods to a wide range of large datasets, such as official statistics, surveys, social media, web-tracking data, news, laws, bibliometric data, historical archives, current data archives, archaeology data, citizen volunteered data, and public administration and industry data.

Key Duties

• To contribute to the design and implementation of semantic graphs for academic works based on semantic similarities and co-citation patterns.
• To develop computational tools and methods to explore semantic and co-citations graphs and their relationships including edge and node predictions and between-layers mappings.
• To conduct research on the characteristics and correlations between graphs directed to the Science and Technology Studies, Information Science, Research Policy, Sociology of Science and Interdisciplinary academic venues.

Requirements

• Education
  • Ph.D. in Complex Systems, Computer Science, Information Science or related fields.
• Essential Knowledge and Professional Experience
  • Experience in publishing academic research particular in science and technology studies and using graph and network-related methods.
  • Experience with literature about science, innovation, and technology systems.
  • Extensive hands-on experience with the R-statistical package and/or Python, particularly for data curation and management. Ability to work in both programming languages is desirable.
  • Experience implementing computational and statistical methods to large-scale datasets.
• Additional Knowledge and Professional Experience
  • Fluency in English is essential. Proficiency in Spanish and other European languages would be advantageous.
  • Experience working with data for social science purposes.
  • Experience applying, fine-tuning and comparing Large Language Models' performance in social science applications will be highly desirable.
  • Knowledge of parallel computing is an asset.
• Competences
  • Interest and ability for independent learning, adapting and developing computational methods to answer research questions in the social sciences.
  • Good communication skills for effective collaboration with researchers and other research engineers and data scientists.
  • Ability to work in a team and in a multi-cultural environment.
  • Interest and curiosity for artificial intelligence, machine learning, network analysis, and natural language processing applications in the social sciences.

Conditions

• The position will be located at BSC within the Directors Department
• We offer a full-time contract (35h/week), a good working environment, a highly stimulating environment with state-of-the-art infrastructure, flexible working hours, extensive training plan, restaurant tickets, private health insurance, support to the relocation procedures
• Duration: Open-ended contract due to technical and scientific activities linked to the project and budget duration
• Holidays: 22 days of holidays + 6 personal days + 24th and 31st of December per our collective agreement
• Salary: we offer a competitive salary commensurate with the qualifications and experience of the candidate and according to the cost of living in Barcelona
• Starting date: As soon as possible after October 1st

Deadline

The vacancy will remain open until a suitable candidate has been hired. Applications will be regularly reviewed and potential candidates will be contacted.

OTM-R principles for selection processes

BSC-CNS is committed to the principles of the Code of Conduct for the Recruitment of Researchers of the European Commission and the Open, Transparent and Merit-based Recruitment principles (OTM-R). This is applied for any potential candidate in all our processes, for example by creating gender-balanced recruitment panels and recognizing career breaks etc.

BSC-CNS is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or any other basis protected by applicable state or local law.

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