Data Scientist For Computational Social Sciences And Humanities
hace 2 meses
Job Reference
734_24_DIR_CSS_RE2
Position
Data scientist for Computational Social Sciences and Humanities (RE2) - AI4S
Closing Date
Thursday, 31 October, 2024
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, 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.
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 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. You will play a pivotal role in facilitating the researchers' work, collaborating closely with the Research units at CSSH, particularly with the Social Media and Political Communication research areas.
The funding for these actions/fellowships and contracts comes from the European Union Recovery and Resilience Facility - Next Generation.
Key Duties
Providing support with text analysis
Providing support with LLMs and other ML models for multi-modal classification
Providing support with development of research tools to help researchers carry out their tasks, including data visualization tools
Requirements
Education
MA in an area related to Computational Social Sciences or Humanities.
Essential Knowledge and Professional Experience
Good programming skills with Python and R
Experience with topic modeling, clustering models, and LLMs for classification.
Experience with data sets annotation for model training
Additional Knowledge and Professional Experience
Fluency in English is essential. Proficiency in Spanish and other European languages would be advantageous.
Specific experience in language communication and social media analysis is desired
Competences
Ability to work in a team and in a multi-cultural environment.
Good communication skills for effective collaboration.
Ability to work both independently and with a team
Hard-working and highly organized.
Conditions
The position will be located at BSC within the Computational Social Sciences and Humanities Program.
We offer a full-time contract (37.5h/week), a good working environment, flexible working hours, extensive training plan, restaurant tickets, private health insurance.
Duration: 4 years
Holidays: 23 paid vacation days plus 24th and 31st of December per our collective agreement.
Salary: RE2 42.000,00
Additional Expenses Grant: Each fellowship will be associated with a grant for additional expenses, such as IT equipment, travel, training, stays, etc.
Starting date: asap - the incorporation for this vacancy must be before the 16th of December 2024.
Applications procedure and process
All applications must be submitted via the BSC website and contain:
A full CV in English, including contact details.
A cover/motivation letter with a statement of interest in English, clearly specifying for which specific area and topics the applicant wishes to be considered.
Development of the recruitment process
The selection will be carried out through a competitive examination system. The recruitment process consists of two phases:
Curriculum Analysis: Evaluation of previous experience and/or scientific history, degree, training, and other professional information relevant to the position.
Interview phase: The highest-rated candidates will be invited to the interview phase, where technical competencies, knowledge, skills, and professional experience will be evaluated.
At BSC, we seek continuous improvement in our recruitment processes. For any suggestions or comments/complaints about our recruitment processes, please contact recruitment [at] bsc [dot] es.
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Barcelona, España Barcelona Supercomputing Center A tiempo completo.Data scientist for Computational Social Sciences and HumanitiesClosing Date: Thursday, 31 October, 2024Reference: 734_24_DIR_CSS_RE2Job title: Data scientist for Computational Social Sciences and Humanities (RE2) - AI4SAbout BSCThe Barcelona Supercomputing Center - Centro Nacional de Supercomputación (BSC-CNS) is the leading supercomputing center in Spain....
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Barcelona, España Barcelona Supercomputing Center A tiempo completoData scientist for Computational Social Sciences and HumanitiesClosing Date: Thursday, 31 October, 2024Reference: 734_24_DIR_CSS_RE2Job title: Data scientist for Computational Social Sciences and Humanities (RE2) - AI4SAbout BSCThe Barcelona Supercomputing Center - Centro Nacional de Supercomputación (BSC-CNS) is the leading supercomputing center in Spain....
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Barcelona, España Barcelona Supercomputing Center A tiempo completoData scientist for Computational Social Sciences and HumanitiesClosing Date: Thursday, 31 October, 2024 Reference: 734_24_DIR_CSS_RE2Job title: Data scientist for Computational Social Sciences and Humanities (RE2) - AI4SAbout BSCThe Barcelona Supercomputing Center - Centro Nacional de Supercomputación (BSC-CNS) is the leading supercomputing center in Spain....
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