Methods For Wireless, Machine Learning In 5G Network, 2024_Assegni_Deib_207 Milano

Methods For Wireless, Machine Learning In 5G Network, 2024_Assegni_Deib_207
Milano
Lombardia, Milano

Organisation/Company: Politecnico di MilanoResearch Field: EngineeringResearcher Profile: Recognised Researcher (R2), Leading Researcher (R4), First Stage Researcher (R1), Established Researcher (R3)Country: ItalyApplication Deadline: 17 Jan 2025 - 23:59 (UTC)Type of Contract: To be definedJob Status: Not ApplicableIs the job funded through the EU Research Framework Programme?

Not funded by a EU programmeIs the Job related to staff position within a Research Infrastructure?

NoOffer DescriptionThe research aims to explore the potential of using Machine Learning (ML), Artificial Intelligence (AI), and Deep Learning (DL) in 5G networks to optimize and enhance the performance of communication systems.

The goal of the study is to develop advanced models and machine learning techniques, supported by theoretical analyses and performance evaluations, for 5G applications, exploiting the predictive and adaptive capabilities of ML, AI, and DL.

With the integration of learning algorithms, it will be possible to improve resource management, dynamic bandwidth allocation, and reduction of network latencies, also optimizing the reliability and security of the system.

Theoretical analyses will be supported by advanced and rigorous simulations, focused on the optimization of network parameters and the dynamic adaptation of AI models to maximize performance. QualificationsRelevance of qualifications with the research programme object of selectionConsistency of the candidate's overall profile with respect to the content of the research programme for selectionClose relevance of publications submitted with the research programme object of selectionEligibility CriteriaCountry/ies of residence: AllNationality/ies: #J-18808-Ljbffr