Methodologies and Techniques for the Development of Digital Twin-enabled Smart Ecosystems
Pubblicato il 28-10-2026 - Università Degli Studi Di Napoli Federico Ii in Italia
Organisation/Company Università degli Studi di Napoli “Federico II" Department Department of Electrical Engineering and Information Technologies (DIETI) Research Field Engineering » Electronic engineering Researcher Profile Recognised Researcher (R2) Positions PhD Positions Application Deadline 26 Oct 2026 - 12:00 (Europe/Rome) Country Italy Type of Contract Temporary Job Status Full-time Offer Starting Date 25 Sep 2026 Is the job funded through the EU Research Framework Programme? Other EU programme Reference Number RIF. DIETI 06/2026 Is the Job related to staff position within a Research Infrastructure? No
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Offer Description
The research program aims to develop models, algorithms,
and architectures for implementing Digital Twin-enabled Smart Ecosystems, with a particular focus on data interoperability and on the integration of AI models, multi-agent systems, and intelligent workflows deployed across the Edge–Cloud–HPC Continuum. xysqume The research activities will also address the energy impact of Artificial Intelligence by developing methodologies for monitoring, modeling, and optimizing energy consumption and computational resource allocation, with the goal of enabling efficient, sustainable, and scalable AI solutions for distributed computing environments.
Requirements
Research Field Engineering » Electronic engineering
Skills/Qualifications
PhD in Industrial and Information Engineering