2026_IR_35_DEI – Multimodal Panoptic Segmentation via Vision-Language Models for 3D Robotic Percepti

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/87dui7

Organisation/Company Dipartimento di Ingegneria dell'Informazione - Università degli studi di Padova Research Field Engineering Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First Stage Researcher (R1) Established Researcher (R3) Application Deadline 16 Oct 2026 - 13:00 (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 Advancing 3D robotic perception by developing panoptic segmentation algorithms that integrate data streams from LiDAR, Radar, and cameras. The developed algorithms may leverage Vision-Language Models (VLMs) to achieve open-vocabulary segmentation, enabling robots to reliably detect dynamic objects in unstructured environments.



Activities will take place within the framework of the EXCEED-AIR collaborative seed project on "Robust Perception and Situational Awareness".
Objectives:
Develop efficient VLM architectures capable of multimodal sensor fusion under adverse sensing conditions.
Evaluate models on standard datasets and experimental robotic platforms.
Publish results in prestigious robotics and computer vision journals and/or conferences, and release open-access, FAIR-compliant code and benchmarks via the EXCEED-AIR Virtual Joint Lab platform.
OTHER
Eligibility of fellows: country/ies of residence:
OTHER
Eligibility of fellows: nationality/ies:
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Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/87dui7