2026_Ir_35_Dei – Multimodal Panoptic Segmentation Via Vision-Language Models For 3D Robotic Perception

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/8a2n7u

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 *********: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
Dato l'elevato interesse per questa posizione, la preghiamo di candidarsi tempestivamente se il suo profilo è in linea con il ruolo.
Offer DescriptionAdvancing 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.
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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/8a2n7u