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Senior/Postdoctoral Researcher in Programmable & Intelligent Network Systems
Description de la fonction
For further development of our research on advanced 6G-enabled systems, we are looking for a Postdoctoral Researcher in Intelligent Networked Systems
What you will do
- Coordinate and technically steer the research activities related to next-generation network architectures, intelligent orchestration, and resilient connectivity within a large European collaboration.
- Lead the design and implementation of AI/ML lifecycle workflows enabling intelligent behavior across the network stack (user applications, edge components, and AI-driven network functions).
- Develop and integrate 6GApp-like components, including:
- vertical application logic that reacts to network conditions,
- network-application logic (AI-based optimization, automation, and closed-loop control),
- multi-layer orchestration pipelines for intent-based programmability.
- Contribute to the orchestration of network intelligence, including:
- AI-based decision engines for edge/cloud continuum,
- real-time KPI/KVI monitoring,
- automated network and application adaptation workflows,
- integration with network exposure APIs and RAN/edge intelligence layers.
- Contribute to the development of prototypes and experimental workflows in advanced 5G/6G testbeds (private networks, edge compute, telemetry systems, programmable RAN).
- Collaborate closely with academia and industry partners to build practical and safe AI-driven network solutions.
- Publish high-quality scientific outputs and support the supervision of junior researchers.
Research group
You will join the Programmable and Intelligent Networks (PIN) team within IDLab, a research group of the University of Antwerp in collaboration with imec.
The group focuses on:
- Intelligent automation in 5G/6G networks
- AI-driven orchestration and zero-touch management
- Distributed intelligence in the edge–cloud continuum
- Network digital twins for predictive optimization
- 6GApps and network-application frameworks
- Open RAN, programmable network exposures, and testbed-driven validation
Our living labs and testbeds host cutting-edge infrastructure, including programmable core networks, edge clusters, private 5G/6G systems, and RAN intelligent control environments. Your work will directly advance our leadership in intelligent 6G application orchestration and AI-driven network functions at the Belgian trial sites in EU projects.
Profil
Who you are
- You hold a PhD in Computer Science, Electrical Engineering, or a related field.
- You have knowledge about key 5G/6G concepts such as network programmability, network exposure APIs, service orchestration, O-RAN, network slicing, and data-driven optimization.
- You have proven experience with AI/ML pipelines, including data processing, model training, validation, deployment, monitoring, and (preferably) MLOps practices.
- You can develop and integrate AI models into operational systems, including:
- user-facing applications (computer vision, sensor fusion, predictive models),
- AI-driven network functions (closed-loop control, optimization, anomaly detection, intent resolution).
- You are familiar with cloud-native development (Docker, Kubernetes), CI/CD pipelines, and edge/cloud ML inference frameworks.
- You have experience with experimental research, including testbeds, prototypes, or system integration.
- You thrive in collaborative, multidisciplinary, and international environments. You communicate clearly in English and can represent your work in scientific and technical communities.
- You have an interest in working with industry stakeholders and translating technological capabilities into real impact.
What sets you apart (optional):
- Experience with EU collaborative research projects or technical work package leadership.
- Familiarity with AI-driven networking to support vertical applications such as healthcare or emergency-response systems.
- A strong drive to see technologies validated in real-world settings, beyond simulation or theory.
For more information, you can contact Prof. Johann.Marquez-Barja (Afficher l'adresse e-mail), Dr. Nina.Slamnik-Krijestorac (Afficher l'adresse e-mail), and Dr. Miguel Camelo Afficher l'adresse e-mail.
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