SEMANTIC Innovative Training Network @ Poli

This page is aimed at supporting interested applicants for the position funded by Marie Slodowskwa-Curie ITN ‚ÄúSEMANTIC (end-to-end Slicing and data-drivEn autoMAtion of Next generation cellular neTworks with mobIle edge Clouds)”.

WHAT ARE ITNs?

  • Check the official documentation on Innovative Training Networks
  • In short, the ITN-funded PhD position implies: (i) a full integration in the PhD program at Politecnico (3 years), (ii) a 6-month secondment in Nokia Bell Labs, France, (iii) a high salary with respect to the life cost in Italy.

WHO ARE WE?

WHICH TOPIC?

  • Title: Machine learning-based optimizations for seamless MEC service support (ESR5)
  • In details, the student will study MEC/RAN integration and MEC-empowered enhancements. The main objectives of the planned research activities will be:
    • Develop MEC-empowered upgrades to the 5G cellular operation, including Machine-Learning (ML) based optimizations for resource allocation and for MEC service continuity
    • Definition of analytical models for the system performance evaluation
    • Enhancement of a MEC testbed and of a simulation tool, available at Politecnico di Torino
    • Experimental measurements supporting the development of theoretical models and their validation

WHAT TO DO?

  • Read carefully the Euraxess call here
  • Apply here specifying ESR5 position
  • Deadline: 15/03/2020 23:00 – Europe/Brussels