SFI2 open calls for grants/fellowshipS

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. 

Requirements

Mandatory:

• PhD in Computing, Engineering, Applied Mathematics, or related fields;

• Excellent Academic Record and excellent Graduate School Record;

• PhD defense completed less than six (6) years ago;

• At least 10 publications in Q1 articles in the last 4 years (2023 to 2026) in the Scopus database and an h-index greater than nine (9);

• Proven knowledge and experience in experimental evaluation activities using different available testbeds (FIBRE, FABRIC, CHAMALEON, among others);

• Proficiency in programming, with mastery of Python and proven experience using various techniques, libraries, and frameworks for AI/ML processing (PyTorch, TensorFlow, Keras, Scikit-learn, among others);

• Good scientific writing in English and ability to work in a team;

• Solid knowledge of Kubernetes and Docker;

• Experience with reproducible experimentation (Git, environments, pipelines, metric logging).

Desirable:

• Knowledge of frameworks and tools capable of using LLMs such as LangChain, LlamaIndex, and others;

• Knowledge of protocols for agent-to-agent AI communication such as MCP, A2A, and others;

• Knowledge of platforms supporting AI/ML such as Apache Airflow, Kubeflow, MLflow, MetaFlow, among others;

• Knowledge and use of energy measurement techniques such as Scaphandre, KEPLER, and RAPL and others in physical and virtualized environments.

Documents

To apply, interested candidates must send the following documents by email by February 25, 2026:

• Cover letter and motivation statement;

• Curriculum vitae (CV) with links to Scientific Identity Management platforms (OrcID, Google Scholar, Scopus, among others);

• Two letters of recommendation (sent directly by the recommenders) to the email: sfi2.fapesp@gmail.com 

Contact:

Profs. Tereza Carvalho or Joberto Martins or Flavio Silva

terezacarvalho@usp.br or joberto.martins@gmail.com