Postdoctoral Fellowship in Energy-Efficient Slicing Methods with Machine Learning in Fixed and Mobile Networks
Field of Knowledge: Computer Science
FAPESP Project: http://bv.fapesp.br/pt/metapesquisa/?q=2018/23097-3
Project Title: SFI2: Slicing Future Internet Infrastructures
Area of Focus: Sustainability through AI/ML in Slices in Fixed and Mobile Networks
Number of Positions: 1
Responsible Researcher: Tereza Cristina Melo de Brito Carvalho
Unit/Institution: Sustainability Laboratory in Information Technology – Department of Computer and Digital Systems Engineering (PCS) – Graduate Program in Electrical Engineering (PPGEE) – Polytechnic School of the University of São Paulo
Application Deadline: 02/25/2026
Published on: 01/28/2026
Location: LASSU – Sustainability Laboratory. Av. Professor Lúcio Martins Rodrigues, Travessa 4, No. 380, 2nd floor – ZIP Code 05508-020 – University City – São Paulo, SP, Brazil
Email for Applications: sfi2.fapesp@gmail.com
The Graduate Program in Electrical Engineering (PPGEE) is accepting applications for 1 (one) fellowship lasting 12 months, within the scope of the project “SFI2 – Slicing Future Internet Infrastructures”, which aims to develop an intelligent architecture for network slicing of resources and services in networks.
The research will focus on developing methods that incorporate resource slicing across fixed and mobile networks, leveraging artificial intelligence and machine learning techniques to enable energy-efficient use cases. The research involves formulating and implementing multiple methods that go beyond the state of the art in this area.
From the second half of the period, it is expected that results will be submitted to renowned international conferences and/or journals, and that technical reports for the project will be produced.
Contact:
Profs. Tereza Carvalho or Joberto Martins or Flavio Silva
terezacarvalho@usp.br or joberto.martins@gmail.com