"IMAGINE - Intelligent systeMs for multimodAl imaGe and sIgNal processing" - CR 009 2026 ISTI PI
Organisation/Company CNR - ISTI Research Field Computer science Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First Stage Researcher (R1) Established Researcher (R3) Application Deadline 13 Nov 2026 - 18:00 (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
Tutti i potenziali candidati sono incoraggiati a leggere l'intera descrizione del lavoro prima di candidarsi.
Offer Description
The candidate will carry out R&D; in probabilistic computer vision and multimodal data analysis, designing advanced algorithms to interpret complex indoor/outdoor scenarios by integrating environmental signals with physiological and motor data. Specifically, the researcher will:
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- Develop bio-inspired and probabilistic AI models for uncertainty quantification in pattern recognition, using generative AI where applicable;
- Implement Computer Vision solutions oriented toward inclusion and human activity/behavior monitoring;
- Experiment with Explainable AI (XAI) techniques to ensure transparency and trustworthiness in data processing;
- Disseminate results through scientific publications and international workshops, in line with the IMAGINE project objectives. xbvzest
-
- Italy
Eligibility of fellows: country/ies of residence:
-
- Italy
- EUROPE
- OTHER
- E.U.
Eligibility of fellows: nationality/ies:
Tutti i potenziali candidati sono incoraggiati a leggere l'intera descrizione del lavoro prima di candidarsi.
Offer Description
The candidate will carry out R&D; in probabilistic computer vision and multimodal data analysis, designing advanced algorithms to interpret complex indoor/outdoor scenarios by integrating environmental signals with physiological and motor data. Specifically, the researcher will:
-
- Develop bio-inspired and probabilistic AI models for uncertainty quantification in pattern recognition, using generative AI where applicable;
- Implement Computer Vision solutions oriented toward inclusion and human activity/behavior monitoring;
- Experiment with Explainable AI (XAI) techniques to ensure transparency and trustworthiness in data processing;
- Disseminate results through scientific publications and international workshops, in line with the IMAGINE project objectives. xbvzest
-
- Italy
Eligibility of fellows: country/ies of residence:
-
- Italy
- EUROPE
- OTHER
- E.U.
Eligibility of fellows: nationality/ies: