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/Job opportunities/PhD Vacancy in Network Slicing for the IoT within Security Contexts

PhD Vacancy in Network Slicing for the IoT within Security Contexts

PhD - Antwerpen | About a week ago

For further development of the IDLab wireless networking cluster, we are looking for a PhD candidate in Network Slicing for the IoT within Security Contexts. 

Antwerp University - imec IDLab Research Group

The Internet & Data Lab (IDLab) is an imec research group at the University of Antwerp and Ghent University. IDLab focuses its research on internet technologies and data science. IDLab is a joint research initiative between Ghent University and the University of Antwerp. Bringing together 300 internet experts, we develop technologies outperforming current solutions for communication subsystems, high speed and low power networking, distributed computing and multimedia processing, machine learning, artificial intelligence and web semantics. Within Antwerp, the overall IDLab research areas are machine learning and wireless networking.  IDLab has a unique research infrastructure used in numerous national and international collaborations. 

IDLab collaborates with many universities and research centres worldwide and jointly develops advanced technologies with industry (R&D centers from international companies, Flanders’ top innovating large companies and SME’s, as well as numerous ambitious startups).

What you will do

  • Your PhD thesis topic will be on IoT Network Slicing and Edge/Cloud Computing and your research scope will include IoT technologies (full protocol stack) to extract the data and virtualization and orchestration technologies to securely process, store, and expose that data.
  • You will implement your research ideas within the context of several EU funded research projects and collaborate with world-wide industrial partners.
  • You will collaborate with other IDLab colleagues across research expertise in the scope of 5G technologies, low-power wireless communications, network orchestration and artificial intelligence.
  • You will be able to test your research approaches and solutions on top-level EU open testbeds in realistic conditions.
  • You will assist some educational tasks of the research team, such as supervising Master’s students or proving hands-on laboratories support.

Who you are

  • You have (or will receive within a few months) a Master’s degree in Computer Engineering, Computer Science, Telecommunications Engineering, Electronics Engineering, or related fields.
  • You are able to speak/write in English in scientific and academic settings (equivalent to IELTS 6.5 and above, TOEFL 80 or above).
  • You are knowledgeable in network protocol stack, from physical to application layer. Most importantly MAC IoT protocols and IPv4/IPv6-enabled upper stack.
  • You are at ease in developing software applications, know to code in C, C++, Python, and comfortable with Linux environments.
  • You are comfortable with both technical, hands-on work and mathematical formal language.
  • You must be familiar with software-defined and virtualization concepts and the different planes of softwarized solutions such as Network Slicing, SDR, SDN and/or NFV.
  • You are able to work in a multidisciplinary team and in a collaborative environment.

What sets you apart:

  • You have experience on embedded devices and FPGA programming.
  • You have knowledge in optimization techniques and abstract problem formulation.
  • You are familiar with IoT solutions based on IEEE 802.15.4 (e.g., 6TiSCH, BLE), IEEE 802.11 ah, LPWAN (e.g., LoRa, Sigfox), cellular IoT (e.g., LTE-M, NB-IoT) or UWB.
  • You have experience working with laboratory tools such as oscilloscopes, power meters or JTAG debuggers. 
  • You are familiar or have experience with virtualization solutions such as OpenStack, Kubernetes, LXD, Docker, Open Source MANO or Juju and monitoring solutions like Prometheus and Grafana.
  • You have strong interests in investigating network slicing, network virtualization, SDN, NFV, SDR, and other softwarized network technologies.
  • You are familiar with open source licensing and some data privacy policies. 
  • You have published in high-ranking conferences and journals.


If you are interested in this position, please apply here.  
Applications sent to us via email will not be considered.

For more information contact dr. Esteban Municio ( or prof. dr. Johann Marquez-Barja (