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Politecnico di Torino invites applications for a research fellowship in video understanding for robotic applications. It addresses learning action-level representations from videos to instruct humanoid robots in long-horizon manipulation tasks.
The project will develop hierarchical, affordance-aware, and goal-conditioned representations feeding motor policies based on reinforcement and imitation learning, with emphasis on large-scale video understanding for human behavior analysis.
Organisation/Company Politecnico di Torino Research Field Engineering Other Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First Stage Researcher (R1) Established Researcher (R3) Application Deadline 30 Sep 2026 - 15:00 (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
This project addresses video understanding for robotic applications, focusing on learning action-level representations from unstructured human activity videos to instruct humanoid robots in long-horizon manipulation tasks. It will develop hierarchical, affordance-aware, and
goal-conditioned representations of human behavior, potentially enriched with textual descriptions, whose outputs will serve as inputs to motor policies based on reinforcement and imitation learning. Experience in large-scale video understanding for human behavior analysis is
required.
Eligibility of fellows: country/ies of residence:
Eligibility of fellows: nationality/ies: