Data Scientist For Computational Social Sciences And Humanities

hace 2 meses


Barcelona, España Barcelona Supercomputing Center A tiempo completo

Data scientist for Computational Social Sciences and HumanitiesClosing Date: Thursday, 31 October, 2024 Reference: 734_24_DIR_CSS_RE2

Job title: Data scientist for Computational Social Sciences and Humanities (RE2) - 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. The mission of BSC is to research, develop and manage information technologies in order to facilitate scientific progress.

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. You will be part of the Data and Methods for HPCSSH group and report to its director.

Key Duties 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 EducationMA in an area related to Computational Social Sciences or Humanities.Essential Knowledge and Professional ExperienceGood 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 ExperienceFluency 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.CompetencesAbility 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, a highly stimulating environment with state-of-the-art infrastructure, 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.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 cover/motivation letter with a statement of interest in English, clearly specifying for which specific area and topics the applicant wishes to be considered. Additionally, two references for further contacts must be included. Applications without this document will not 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 at the curriculum level will be invited to the interview phase, conducted by the corresponding department and Human Resources.At BSC, we seek continuous improvement in our recruitment processes. For any suggestions or comments/complaints about our recruitment processes, please contact ******.

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