PhD position on Cloud-native 6G network management


Last application date
September 30, 2022 23:59
EA05 - Department of Information Technology
Employment category
Doctoral fellow
Limited duration
Master’s degree in computer science, informatics, or electrical engineering
Occupancy rate
Vacancy type
Research staff

Job description

We offer a very challenging full-time position in an inspiring, flexible, and very dynamic environment. You will join a young and enthusiastic team of developers, researchers, post-docs, and professors. You will receive a competitive salary.

Research area

Novel ultra-high throughput and ultra-low latency applications in various application domains such as extended reality (XR), the Internet of Everything, autonomous vehicles and cybersecurity, require fundamental changes to networking architectures and integration with computational resources in the cloud-edge continuum.

To support such services, the 6G ecosystem must envision an end-to-end, cloud-native architecture that provides unified and distributed orchestration and management strategies, while taking interoperability, security and privacy aspects into account. The decentralized AI-based framework that enforces these policies should consist of independent, cooperating entities able to adapt adequately to both local and global context changes.

In this project, the candidate will work on solutions for resource management over 6G networks, on topics that include (but are not limited to) the following:

  • End-to-end resource orchestration in support of Quality-of-Experience optimization;
  • Machine learning mechanisms for increased automation and reliability;
  • Efficient and dynamic placement of network functions and service function chains;
  • Integration of novel networking paradigms for routing, intent-based communication and Quality-of-Service enforcement;
  • Distributed and federated solutions for cross-domain and cross-provider management of storage, computing and network resources;
  • Proof-of-concept system realization for container-based applications in a European-scale testbed.


  • Conducting research in the context of national and European research projects
  • Implementing novel AI techniques for resource orchestration in next-generation networks
  • Planning and conducting well-designed simulation and emulation experiments on our Virtual Wall infrastructure and on imec’s technical lab
  • Performing statistical analysis and interpretation of results
  • Presenting results and findings at international conferences and in scientific journals

Research group and timing

The candidate will be supervised by Prof. Filip De Turck and work at IDLab, a core research group at the Department of Information Technology, Ghent University. Our group performs fundamental and applied research on data science and Internet technology, and is, with close to 500 researchers, one of the larger research groups at imec. Imec, in its turn, is the world-leading research and innovation hub in nanoelectronics and digital technologies. By leveraging a world-class research infrastructure and local and global ecosystem of partners across a multitude of industries, innovation is created in application domains such as healthcare, smart cities, logistics, manufacturing, and energy.

The candidate will reside in the iGent building, Technologiepark-Zwijnaarde 126, 9052 Ghent.

Tentative starting period: late 2022. The position is valid for one year and can be extended to a maximum of four years. Visit this page for more information about PhD studies at Ghent University.

Profile of the candidate

  • Master’s degree in computer science, informatics, or electrical engineering
  • A keen interest in network and service management solutions
  • Strong analytical skills; well-organized and able to autonomously plan and execute tasks
  • Highly proficient in a variety of programming languages (g., Java, Python, C/C++)
  • Excellent communication skills in English – both orally and written
  • Highly motivated to conduct scientific research

How to apply

  • Application submitted electronically in a single PDF file, by e-mail to Prof. Filip De Turck and Dr. Tim Wauters ( and
  • Include your CV and a motivation letter, and if possible, an overview of study results
  • Submit your application as soon as possible, as a decision may be taken before the deadline
  • Selected candidates will be contacted for a remote interview and a programming test
  • For more information, please contact Dr. Tim Wauters (