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Hazem Sallouha

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AI-Driven System and Link Design for Integrated Non-terrestrial Networks KU Leuven in Belgium

Degree Level

PhD

Field of study

Computer Science

Funding

Full funding available

Deadline

Aug 31, 2026

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Country

Belgium

University

KU Leuven

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Keywords

Computer Science
Signal Processing
Electrical Engineering
Information Technology
Communication Studies
Wireless Communication
Digital Twin Technology
Software-defined Radio
Machine learning

About this position

The WaveCoRE research group at KU Leuven’s Department of Electrical Engineering (ESAT) is offering a PhD position focused on AI-driven system and link design for integrated non-terrestrial networks (NTN). The Networked Systems team within WaveCoRE specializes in wireless communications, including UAV and satellite networks, next-generation radio access networks, sustainable IoT, joint communication and sensing, and machine learning-based signal processing. This project is at the forefront of future 6G networks, aiming to support immersive wireless sensing applications through seamless integration of terrestrial and non-terrestrial platforms.

As a PhD researcher, you will tackle the challenges of highly dynamic communication environments characterized by rapidly changing propagation conditions, user mobility, intermittent line-of-sight links, and heterogeneous radio access technologies. Conventional mobility management and link adaptation mechanisms often fail to maintain reliable connectivity and quality of service in such settings. The project’s goal is to develop predictive network intelligence for integrated terrestrial and NTN systems, enabling proactive resource allocation and improved service continuity.

In the first phase, you will contribute to the development of a software-defined radio-based spectrum sensing testbed, combining terrestrial and aerial measurement campaigns to collect large-scale radio environment data. These measurements will facilitate the creation of AI-based Digital Twin models capable of virtualizing and forecasting the radio-electric environment. The second phase involves investigating machine learning and AI-driven algorithms for NTN channel prediction, supporting proactive mobility management across heterogeneous networks. You will explore novel handover and modulation and coding scheme (MCS) adaptation strategies to enhance service continuity for sensing and communication applications spanning ground, aerial, and satellite infrastructures.

KU Leuven offers a PhD scholarship for up to four years, subject to positive intermediate evaluations. Non-EER applicants may receive up to one year of pre-doc support. The research environment is highly multidisciplinary, combining theory and implementation, and provides access to state-of-the-art laboratories. You will have opportunities to participate in international conferences, workshops, and collaborations with top EU research teams. Upon successful completion, you will earn a PhD title from KU Leuven, one of Europe’s leading research universities.

Applicants should have a master’s degree in Electrical Engineering or Telecommunication Engineering, ranked within the top 10% of their class, with exceptional grades. A strong background in wireless communications, signal processing, and networking fundamentals is required. Experience with software-defined radio (SDR) systems and hands-on PCB design is a plus. Candidates must be fluent in English, possess strong communication and interpersonal skills, and be able to work in an international team. Proof of English proficiency (IELTS, TOEFL, or similar) is recommended.

KU Leuven is committed to diversity, inclusion, and equal opportunity. The university provides a supportive environment for all researchers and encourages open dialogue and differences in perspective. For accessibility or support questions, contact the provided email addresses.

To apply, submit your CV (including BSc and MSc average grades), a motivation letter (max 1 page), complete transcripts of Bachelor’s and Master’s degrees, and proof of English proficiency (if available) via the KU Leuven online portal. For further information, contact Prof. dr. ir. Hazem Sallouha or Mr. Rodney Martinez Alonso.

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

More information can be found here

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