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MSCA - Marie Curie PhD Fellowship, Politecnico di Torino and Institute of Electronics, Computer and Telecommunication Engineering (IEIIT-CNR)

ABG-96425 Thesis topic
2021-03-03 EU funding
CNR IEIIT
Torino - Italie
MSCA - Marie Curie PhD Fellowship, Politecnico di Torino and Institute of Electronics, Computer and Telecommunication Engineering (IEIIT-CNR)
  • Process engineering

Topic description

PhD position for Spring 2021 within the BANYAN EID project funded by HORIZON 2020/ Marie Skłodowska-Curie Action, in the field of data analytics and machine learning approaches for the deployment and proactive optimization of 5G and multi-RAT networks.

The deadline for submission is March 8

The candidate should posses a GRE certificate.

The recruited Early Stage Researcher (ESR) will be enrolled in ”PhD in Electrical, Electronics and Communications Engineering” of PoliTo (http://dottorato.polito.it/en/doctoral school). They will participate in an exciting multidisciplinary research programme that will enhance their career perspectives in both the academic and non-academic sector. In addition to their individual projects, the recruited ESRs will benefit from a dedicated training programme consisting of local and network wide training activities aimed at im- proving their scientific knowledge and transferable skills.

The selected ESR will work on the spatial-temporal characterization of patterns of users’ demands for in- dividual mobile services at macroscopic (citywide) scales, and he will experience an intersectoral training programme encompassing 18-month internship in a company (Ranplan Wireless Network Design Ltd.an, Cambridge UK and Orange, FR), and 18 months in academic institute (CNR and PoliTo).

Starting date

2021-04-19

Funding category

EU funding

Funding further details

Presentation of host institution and host laboratory

CNR IEIIT

IEIIT (Institute of Electronics, Computer and Telecommunication Engineering) is a research structure of CNR, the National Research Council of Italy, located in Torino, Italy.

Candidate's profile

Interested applicants should have most of the following qualifications:
- a master’s or undergraduate degree in engineering, applied mathematics, or related fields; - strong background in optimization, linear systems theory, and machine learning (basic)
- a solid set of GPA, TOEFL, and GRE scores.

2021-03-08
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