"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 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.
* Italy Eligibility of fellows: country/ies of residence:
* Italy
* EUROPE
* OTHER
* E.
U. Eligibility of fellows: nationality/ies: #J-18808-Ljbffr
- 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 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.
* Italy Eligibility of fellows: country/ies of residence:
* Italy
* EUROPE
* OTHER
* E.
U. Eligibility of fellows: nationality/ies: #J-18808-Ljbffr