PhD in Computational Social Sciences

12/03/2022 – 13/03/2022 all-day

Offre en lien avec l’Action/le Réseau : – — –/– — –

Laboratoire/Entreprise : médialab, Sciences Po
Durée : 3 ans
Contact :
Date limite de publication : 2022-03-12

Contexte :
The médialab at Sciences Po is hiring a doctoral researcher to work on the impact of artificial intelligence on socio-political and media dynamics for project “AI-Political Machines”

Sujet :
This position is part of the project AIPM (AI-Political Machines), funded by the McCourt Institute, devoted to conducting research tackling the challenges of the Internet, Artificial Intelligence, and their impact in society. The goal of AIPM is to improve the understanding of how AI systems perceive large social, political, and informational online systems, and the implications are for algorithmic mediation and the impact on social phenomena. Most AI systems mediating digital ecosystem (generating friend and content recommendations, filtering content, and assisting online searches) are trained using digital traces: networks of friends in social platforms (social graphs), content consumption (clicks, views, shares, retweets, etc.), in addition to text and images, to name a few. The goal of the project is to improve the understanding of what these systems are implicitly inferring about users for producing outputs such as recommendations. Are AI systems capable of inadvertently learning political stances of users when computing recommendations? What are the effects of algorithms mediating digital space in opinions and polarization, or agenda setting dynamics? How to leverage knowledge about machine perception of large social systems in designing better AI systems?

Profil du candidat :
The hired doctoral researcher must be able to conduct data analyses of social and media platform data and conduct experiments involving training and deploying machine learning and deep learning algorithms. In particular, the project involves network modelization, and the use of Graph Neural Network and other Recommender System algorithms and methods. The candidate must also have a real interest in learning social sciences and developing team work.
We encourage students with a natural sciences and technology background (e.g., engineering, computer science and mathematics) interested in becoming proficient in social sciences to apply for the position. Applicants with a background in social sciences (e.g., sociology, political science) and strong computational and modelling skills are also encouraged to apply.

Formation et compétences requises :
Experience with ML in Python and data analysis. Interest in expanding research interest towards the frontier between computer sciences and social sciences.

Adresse d’emploi :
1 place St Thomas d’Aquin, Paris, France

Document attaché : 202202170849_Fiche de poste doctorant McCourt AIPM.pdf