The Ramon Llull-AIRA Postdoctoral Programme (RAMON LLULL) is an esteemed international initiative co-funded by the Marie Sklodowska-Curie programme under Horizon Europe.
This innovative program is dedicated to advancing research in artificial intelligence (AI) and will provide a three-year fellowship to nurture competent scientific leaders in AI.
It is open to applicants of any age, nationality, or background. Applicants must comply with the following requirements in order to be eligible to apply to the 1st Open Call:
Applicants are encouraged to discuss the feasibility of their idea with the research group or host organization of their interest.
The Institute of Robotics and Industrial Informatics (CSIC-UPC) offer a position to work on World Models for Human Behaviour Anticipation
https://ramonllull-aira.eu/archivos/theme_field/world-models-for-human-behaviour-anticipation
Brief Theme Description:
Current Foundation Models (FMs) excel at high-dimensional statistical pattern matching, yet they often lack an internal representation of the causal dynamics governing the physical (and social) world. To move toward truly autonomous (and socially intelligent) agents, this research theme focuses on the development of World Models specifically tailored for human behaviour anticipation. Unlike static distributions, these models should represent the spatiotemporal transition functions of human states—predicting how a person will move or interact with objects(/persons) based on video observations. Such capabilities are a cornerstone of human cognition and are essential for the next generation of collaborative and assistive robotics.
This role is ideal for
researchers with expertise in machine learning or computational
modelling who are eager to advance conceptual innovation toward
practical industrial deployment.
Qualifications
Available Infrastructures: Fully equipped Robot Perception and Manipulation Laboratory, see https://www.iri.upc.edu/research/perception#facilities.
Possible Secondments: Other ELLIS Units in Europe.
Keywords: World models, Causality, Human Behaviour Anticipation.