Research Engineer and Data Scientist for the CSSH Program (RE3)

Job Reference

379_24_DIR_CSS_RE3

Position

Research Engineer and Data Scientist for the CSSH Program (RE3)

Closing Date

Tuesday, 16 July, 2024
Reference: 379_24_DIR_CSS_RE3
Job title: Research Engineer and Data Scientist for the CSSH Program (RE3)

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.

Look at the BSC experience:
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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.

Context And Mission

The Computational Social Science 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 research to contribute valuable insights for informed policymaking.

In our pursuit, we focus on a wide range of key societal research areas such as Population changes and living arrangements, Democratic Quality, Social Media and Information Environment, Social-Ecology, Education and Labor Market, Law technologies, Social Innovation, and History and Cultural Heritage. Employing a mixed of complex statistical models, AI/Machine Learning, Large Language Models (LLMs), Agent-Based Modeling (ABM), Social Network Analysis (SNA), among others, our advanced computational methods are applied to diverse datasets from official statistics, surveys, social media, news, laws, historical archives, current data archives, citizens' volunteered data, government 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, and reporting to the program’s director, Dr. Mercè Crosas.

Key Duties

  • Contributing to data collection, processing, cleaning and analysis, including applying AI/ML models and advanced statistical models
  • Developing research tools (e.g. computational workflows, add-ons of existing software, etc.) to help advance research on computational social sciences and humanities
  • Providing support adopting the researchers‘ code to High Performance Computing
  • Working closer with the Computer Science (CS) department and the Operations department to be a bridge between these units and CSSH

Requirements

  • Education
    • MSc in Computer Science, Mathematics, Physics or similar
  • Essential Knowledge and Professional Experience
    • Extensive hands-on experience with Python and C++
    • 3 to 5 years of experience handling large datasets for research and building data pipelines
    • Hands-on experience with working with ML libraries and NLP technologies
  • Additional Knowledge and Professional Experience
    • Experience using DB (SQL) and APIs
    • Experience in distributed computing (PySpark or other others)
    • Experience with Linux and using software engineering tools (e.g., Git for versioning, Docker for containerization)
    • Experience working in research data and cmputational environments
  • Competences
    • Good communication skills for effective collaboration with researchers and other research engineers and data scientists.
    • Ability to work both independently and within a team.
    • Hard-working and highly organized

Conditions

  • The position will be located at BSC within the Directors Department
  • We offer a full-time contract (37.5h/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: 23 paid vacation days plus 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: 01/07/2024

Applications procedure and process

All applications must be made through BSC website and contain:

  • A full CV in English including contact details
  • A Cover Letter with a statement of interest in English, including two contacts for further references - Applications without this document will not be considered

    In accordance with the OTM-R principles, a gender-balanced recruitment panel is formed for every vacancy at the beginning of the process. After reviewing the content of the applications, the panel will start the interviews, with at least one technical and one administrative interview. A profile questionnaire as well as a technical exercise may be required during the process.

    The panel will make a final decision and all candidates who had contacts with them will receive a feedback with details on the acceptance or rejection of their profile.

    At BSC we are seeking continuous improvement in our recruitment processes, for any suggestions or feedback/complaints about our Recruitment Processes, please contact recruitment [at] bsc [dot] es.

    For more information follow this link

  • 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.
    For more information follow this link

    Application Form

    please choose one of this and if needed describe the option : - BSC Website - Euraxess - Spotify - HiPeac - LinkedIn - Networking/Referral: include who and how - Events (Forum, career fairs): include who and how - Through University: include the university name - Specialized website (Metjobs, BIB, other): include which one - Other social Networks: (Twitter, Facebook, Instagram, Youtube): include which one - Other (Glassdoor, ResearchGate, job search website and other cases): include which one
    Please, upload your CV document using the following name structure: Name_Surname_CV
    Files must be less than 3 MB.
    Allowed file types: txt rtf pdf doc docx.
    Please, upload your CV document using the following name structure: Name_Surname_CoverLetter
    Files must be less than 3 MB.
    Allowed file types: txt rtf pdf doc docx zip.
    Please, upload your CV document using the following name structure: Name_Surname_OtherDocument
    Files must be less than 10 MB.
    Allowed file types: txt rtf pdf doc docx rar tar zip.
    ** Consider that the information provided in relation to gender and nationality will be used solely for statistical purposes.