Skip to content

Tags

5g alto anrw award bestpaper CCL conference CSBC dash dash qoe defense demo Digital Twins disaggregation edge computing IBN ieee ietf macsad mec ML necos Network Management nfv NFVSDN20 open source Opportunity p4 phd qoe qos quic sbrc SBRC NEWS sdn slicing softwarization tcp Transport Protocol UAV UPF video video streaming virtualization Zero-touch Networks
  • INTRIG participation at NETSOFT 2025
  • INTRIG at UPA – UNICAMP LIMEIRA
  • INTRIG @ SBRC25
  • INTRIG at FEEC’s Welcome Day 2025
  • Arthur’s Master Defense
  • Home
  • About Us
    • Principal Investigators
    • Members
    • Alumni
  • Research
  • Publications
  • Resources
    • Demos
    • Software
    • Talks & Tutorials
    • Videos
    • Teaching
  • Smartness 2030

September 5, 2017

  • Home
  • 2017
  • September
  • 5
Scholarships

We are hiring! 6 Open Positions with Funded Scholarships

Sep 5, 2017 Christian Esteve RothenbergComment on We are hiring! 6 Open Positions with Funded Scholarships

We are glad to announce a number of open positions at our research group INTRIG

Projects

NECOS: 2-year EU-Brazil Collaborative Project starting in Nov/2017

Sep 5, 2017 Christian Esteve RothenbergComment on NECOS: 2-year EU-Brazil Collaborative Project starting in Nov/2017

NECOS (Novel Enablers for Cloud Slicing) is a new EU-BR collaborative project, coordinated on the Brazilian

Tags

5g alto anrw award bestpaper CCL conference CSBC dash dash qoe defense demo Digital Twins disaggregation edge computing IBN ieee ietf macsad mec ML necos Network Management nfv NFVSDN20 open source Opportunity p4 phd qoe qos quic sbrc SBRC NEWS sdn slicing softwarization tcp Transport Protocol UAV UPF video video streaming virtualization Zero-touch Networks

Latest from INTRIG YouTube


IA377 FEEC/UNICAMP Seminar: Hot Topics in Computer Networking

  • Survey on Network Service Orchestration (NSO)
  • INTRIG Participation at IEEE NetSoft 2023
  • PhD Defense of Raza Ul Mustafa
  • New publication @ TNSM: Harnessing UAVs for Fair 5G Bandwidth Allocation in Vehicular Communication via Deep Reinforcement Learning
  • Congratulations to the new 2 MSc graduates: Juan and Fabricio