Causal Analysis and Opinion Dynamics for Safe Multi‐Agent AI Systems

01 ago - Italia
Altro

Organisation/Company Politecnico di Milano Research Field Computer science Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First Stage Researcher (R1) Established Researcher (R3) Application Deadline 10 Jul 2026 - 12:00 (UTC) Country Italy Type of Contract To be defined Job Status Not Applicable 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 program applies causal inference methods and opinion dynamics models to analyze and ensure safety of AI agents in multi-agent settings. It will study emergent risks (collusion, polarization, error escalation) and intervention mechanisms based on cause‐effect relationships and belief dynamics among agents.



Validation through simulation.
Relevance and pertinence of the publications, theses and scientific products attached to the research programme covered by the Fellowship (up to 20 points)
Relevance and pertinence of previous research activities and work experience, if any, in relation to the research activity covered by the Fellowship (up to 50 points)
Relevance and pertinence of their study programme to the research programme covered by the Fellowship (up to 30 points)
EUROPE
Eligibility of fellows: country/ies of residence:
All
Eligibility of fellows: nationality/ies:
J-18808-Ljbffr

Agente Immobiliare - Treviso...

09 ago - Treviso
Adecco

Magazziniere - settore edile...

09 ago - Sesto San Giovanni
Adecco

Ricevi nuove offerte di lavoro

Crea una Job Alert gratuita per causal analysis and opinion dynamics for safe multi‐agent ai systems / italia

B-FUTURE CHALLENGE-BOOM

09 ago - Asti
Crif

Field Data Driver & 360° Imaging Specialist

09 ago - Sacile
TSMG