Optimizing the Distribution of Computing and Learning Functions within 6G Network Data Planes

Italian Ministry of Education, University and Research

Italia

In loco

EUR 42.000 - 68.000

Tempo pieno

6 giorni fa

Candidati tra i primi

Generatore di candidature

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Descrizione del lavoro

Dipartimento di Ingegneria Informatica, Modellistica, Elettronica e Sistemistica invites applications for a research position within the Quantum technology track. The fellow will contribute to optimizing high‑performance networks, deployment logic of in‑network computing functions, and their orchestration, with potential use of networking digital twin concepts.

Selection emphasizes academic background, research activity, publications, and English language proficiency.

Competenze

Academic background aligned with the assignment.
Evidence of research activity, teaching collaboration, or third-mmission activities.
Publications in related fields are favorable.
Oral interview and English proficiency will be assessed.

Mansioni

Design efficient solutions for deployment logic of in-network computing functions.
Optimize orchestration using virtual network functions and dynamic reference scenarios.
Ensure QoS constraints are met across high‑performance networks.
Adapt optimization to quantum and traditional hardware where applicable.

Conoscenze

Networking knowledge

Research experience

English language

Formazione

PhD in relevant field

Strumenti

Network simulation tools

Descrizione del lavoro

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 aptitude and suitability for carrying out the activity covered by the assignment, as well as to evaluate their knowledge of the English language (maximum score of 30).