Machine-Learning methodologies for multimodal data fusion and analysis
Pubblicato il 06-08-2026 - Altro in Roma
Organisation/Company Universit e0 degli Studi di Napoli Federico II Research Field Engineering bb Industrial engineering Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First Stage Researcher (R1) Established Researcher (R3) Application Deadline 2 Sep 2026 - 12:00 (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 research programme aims to develop innovative methodologies for multimodal data analysis and data fusion based on machine learning techniques. The objective is to design architectures capable of processing and correlating information from heterogeneous sources, ensuring reliability and adaptability in real-world and dynamic contexts, with a view to developing monitoring systems for anomaly prediction and detection in edge environments.
Where to apply E-mail (email hidden)
Requirements Additional Information Eligibility criteria
Italy
Eligibility of fellows: country/ies of residence:
EUROPE
Eligibility of fellows: nationality/ies