Offre en lien avec l’Action/le Réseau : – — –/– — –
Laboratoire/Entreprise : LPI/CRI-Paris, Université Paris Cité
Durée : 3 ans
Contact : pedro.ramaciottimorales@learningplanetinstitute.org
Date limite de publication : 2022-03-12
Contexte :
The Learning Planet Institute (LPI) is an interdisciplinary research unit of Université Paris Cité, developing diverse projects in themes ranging from systems biology to network sciences and complex systems. In the heart of Paris, the LPI brings together social scientists, biologists, designers, computer scientists, mathematicians and physicists among other disciplines, to develop research seeking high societal impact.
Sujet :
This position is part of an initiative to investigate the challenges wrought on democracies by the Internet and Artificial Intelligence, and to improve the understanding of the impact they have in society. The goal of the initiative is to improve the understanding and interpretability of AI systems that mediate social public life in social networks, media platforms, and online news outlets. How do Recommender Systems perceive and model the digital landscape of users and contents to recommend us friends and information? What is the relation between algorithmic recommendations mediating the activity in large internet platforms and the social phenomena such as echo chambers and polarization? This initiative relies on mathematical modeling, political science survey data, and computational experiments with Recommender Systems to develop actionable theories of machine social cognition and tool kits to analyze models learned and leveraged by AI architectures.
Profil du candidat :
The hired doctoral researcher will conduct data analyses of social and media platform data and theoretical modelization work. It is also expected that the doctoral researcher will conduct experiments, training models, and develop software tools to further the understanding of AI systems and their social cognition.
We encourage students with a background in natural sciences and technology (e.g., engineering, computer science, mathematics, physics) to apply for the position. Applicants with different backgrounds and strong modeling and computing skills are also encouraged to apply.
Formation et compétences requises :
Experience with Machine Learning in Python.
Interest in learning big data technologies.
Interest in doing research in AI interpretability.
Experience/interest in working in research in mathematical modeling (geometrical modeling of learning space for Deep Learning).
Interest in working with interdisciplinary teams in a public policy-inspired environment.
Adresse d’emploi :
CRI-Paris
8 bis Rue Charles V, 75004 Paris
Document attaché : 202202170855_Fiche de poste doctoral student LPI.pdf