Optimizing the Distribution of Computing and Learning Functions within 6G Network Data Planes
Pubblicato il 03-10-2026 - Altro in Italia
Organisation/Company Dipartimento di Ingegneria Informatica, Modellistica, Elettronica e Sistemistica Research Field Technology » Quantum technology Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First Stage Researcher (R1) Established Researcher (R3) Application Deadline 21 Oct 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
Within WP2: Optimization of High-Performance Networks and Links (Fiber, Radio, and Satellite) - Activity 2.4, the contract holder will contribute to the design of efficient solutions to advance the state of the art in the deployment logic of in-network computing functions (in the form of Virtual Network Functions) and their optimal orchestration, also considering the possibility of relying on evolutionary management paradigms such as the Network Digital Twin (NDT) paradigm.
The focus will be on dynamic and evolving reference network scenarios for the project, introducing mechanisms capable of reacting in real time to changes in network operating conditions to consistently ensure high performance and compliance with the Quality of Service (QoS) constraints required by applications. It is also expected that the optimization can be adapted to run on quantum as well as traditional machines.
a) relevance and congruence of the applicant's academic background with the activities covered by the assignment (maximum score of 20);
b) relevance and relevance of previous research, teaching collaboration, and third-mission activities, as well as any work experience, in relation to the activities covered by the assignment (maximum score of 30);
c) relevance and relevance of the publications included with the activity covered by the assignment (maximum score of 20);
d) oral interview to assess the applicant's aptitu