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Portail > Offres > Offre UMR8598-FLOGAR-002 - Postdoc (H/F) en sciences sociales computationnelles (CNRS & Sony CSL)

postdoc (H/F) in computational social science (CNRS & Sony CSL)

This offer is available in the following languages:
Français - Anglais

Date Limite Candidature : mercredi 1 mars 2023

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General information

Reference : UMR8598-FLOGAR-002
Nombre de Postes : 1
Workplace : PARIS 17
Date of publication : Monday, January 2, 2023
Type of Contract : FTC Scientist
Contract Period : 24 months
Expected date of employment : 1 March 2023
Proportion of work : Full time
Remuneration : according to CNRS salary, it will depend on the candidate's experience
Desired level of education : PhD
Experience required : Indifferent

Missions

We are seeking a highly motivated postdoctoral researcher to join our teams in the field of computational social science.

CNRS-GEMASS and Sony CSL are collaborating in the framework of an ANR-funded “ScientIA” project. ScientIA aims to investigate the mechanisms favouring the spread of AI technologies, the effects of this disrupting innovation on scientific cultures and practices, and the social consequences of the AI-induced transformation of the scientific ecosystem. Standing on a solid interdisciplinary framework, combining computational tools and social science methodologies, ScientIA aims to analyse, with a multilevel and comparative perspective, the impact and implication of the introduction of AI in academic and industrial research in a wide range of disciplines. The interdisciplinary consortium of ScientIA will develop an innovative research framework on AI, filling the large gap between scientometric studies on the growth of AI-based scientific research and the general analyses of AI's impact on society.

Activities

The successful candidate is expected to work along the following lines: (i) reconstructing the scientific ecosystem and mapping AI tools in it; (ii) predictive algorithms for the impact of AI on scientific evolution; (iii) Exploit and explore patterns in scientific evolution. The investigation of the role of AI in the scientific ecosystem calls for a suitable representation of this space and a corresponding mapping of the scientific disciplines and scientific outcomes in it. The starting point is to think of scientific keywords as a vocabulary and the whole scientific production as a corpus written using that evolving vocabulary. By leveraging such a structure with techniques borrowed from AI applied to Natural Language Processing, we plan to embed the whole set of keywords in a high-dimensional space representing conceptual and semantics relationships. Moreover, we aim to leverage the most cutting-edge AI techniques to predict AI's impact on scientific evolution and explore the conceptual space of future incoming new scientific domains intersecting AI with other disciplines. The successful candidate will also be expected to contribute to the development of new methodologies and techniques for analysing social data, and to collaborate with other researchers in the field.

Expected activities: Data gathering and formatting, features extraction, network analysis, data visualisation, data embedding, statistical and modelling analysis, ML predictive algorithms.

Skills

The ideal candidate will have a PhD in Physics, Mathematics, or Computer Science, with a specific training in Data Science and experience in the fields of Complex Networks, Natural Language Processing, and Machine Learning.

Work Context

The successful candidate will have a contract issued by CNRS and work @ Sony CSL Rome.

To apply, please also send a cover letter, CV, and a research statement (outlining your research interests and how they align with the research focus of the group) to floriana.gargiulo@cnrs.fr and vittorio.loreto@sony.com.

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