Postdoc en IA pour les sciences sociales computationnelles (M/F)

CNRS; France; Sur place; EUR 40 000 - 60 000; Plein temps

Résumé du poste

A leading research institute in France seeks a researcher for AI-driven analysis of web and social media data. The role requires strong computational and mathematical skills, experience with large datasets, and the ability to conduct independent research. The candidate will collaborate internationally, focusing on topics like misinformation and online politics. This full-time position is based at the Paris Complex Systems Institute starting February 2026.

Qualifications

• Strong computational and mathematical skills required.
• Provable experience with social media data, especially large datasets.
• Experience in scientific publications addressing social media analysis.

Responsabilités

• Conduct autonomous exploratory data analysis.
• Propose research designs and communicate with team members.
• Draft articles, manage submissions, and ensure quality control.
• Participate in collecting large corpora and datasets.
• Assist junior researchers in their research.

Connaissances

Computational skills

Mathematical skills

Experience with large datasets

Autonomy in research

Formation

Degree in applied mathematics, physics, computer sciences, or social sciences

Outils

Machine learning frameworks

Description du poste

Organisation/Company CNRS Department Institut des Systèmes Complexes de Paris Île-de-France Research Field Computer science Mathematics » Algorithms Researcher Profile Recognised Researcher (R2) Country France Application Deadline 1 Dec 2025 - 23:59 (UTC) Type of Contract Temporary Job Status Full-time Hours Per Week 35 Offer Starting Date 1 Feb 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No

Offer Description

This position seeks to develop both an original research agenda to be proposed by the candidate, and research conducted by the hosting team. The main lines of research developed by the hosting team (led by Pedro Ramaciotti) relate to social media, the web AI, and politics. For this position, we seek to develop the análisis of web and social media data using AI methods, as well as investigating AI models themselves. We are looking for candidates with strong computational and mathematical skills, and experience working autonomously with large AI models and big dataset. We publish in computer science conference, interdisciplinary journals, and social science journals (sociology and political sciences).

Some of the topics we develop, include : misinformation, polarization, online politics, social platform and AI policy.

The activities to be carried out by the selected candidate include:

• Conducting autonomous exploratory data analysis
• Proposing research designs tackling relevant questions and communicating and coordinating with members of the hosting team
• Drafting articles, managing submissions, reproducibility materials and quality control
• Participate in the collective construction of large corpora and datasets
• Participate in workshops, seminars, and other dissemination activities
• Assist other members of the hosting team, including more junior researchers (phds) in their research

The selected candidate will be based at the Paris Complex Systems Institute (ISC-PIC), but will work in a highly international and collaborative environment, in frequent coordination with partners in France and in Europe. Most notably, the selected candidate is expected to participate in the development of the European Polarisation Observatory, a joint initiative by CNRS, Sciences Po, INRIA, Sorbonne Université, Bocconi University, the London School of Economics, Hertie School, the Central European Unviersity, and the Romanian National School of Administration.

• Mathematical and statistical proficiency, we are looking for candidates from applied mathematics, physics, computer sciences or social sciences with outstanding skills in quantitative methods
• Provable experience working with social media data, specially very large datasets (we typically work with datasets of up to several TBs depending on the case study)
• Autonomy to conduct independent analysis and research on our (GPU/CPU) servers, familiarity with coding frames in machine learning and AI
• The candidate must have a provable record of transforming results from analysis in scientific publications addressing communities concerned by social media analysis, and platform policy and regulation
• The ideal candidate will have experience working in computational social sciences teams in demanding roles in data analysis an developing AI tools
• Having previous experiences in the French research ecosystem is an advantage, as we work with several French-specific datasets in regulation-related applications