20 beste vacatures voor de functie van engineering in leuven (nieuwe medewerkers gezocht)

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AI-Driven System and Link Design for Integrated Non-terrestrial Networks

KU Leuven -
Leuven

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Vacaturegegevens

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Kwalificaties

Doctoraat
Signaalverwerking
Systeem ontwerpen
Engels
Onderzoek
Master
TOEFL
Bachelor
Machine learning
Telecommunicatie
Communicatieve vaardigheden

Volledige vacaturetekst

AI-Driven System and Link Design for Integrated Non-terrestrial Networks

(ref. BAP-2026-378)
Laatst aangepast: 26/06/26

The research group WaveCoRE in the Department of Electrical Engineering (ESAT) is dedicated to advancing the fields of electromagnetic theory, wave propagation, microwave and millimeter-wave circuits, and wireless systems. Within WaveCoRE, the Networked Systems team covers research on several fields of wireless communications, including non-terrestrial UAV and satellite networks, next-generation radio access networks, sustainable Internet of Things, joint communication and sensing, as well as machine learning-based signal processing.

Project

Future 6G networks are expected to support immersive wireless sensing applications through the seamless integration of terrestrial and non-terrestrial networks (NTN), including aerial platforms and satellite systems. These applications will rely on highly dynamic communication environments characterized by rapidly changing propagation conditions, user mobility, intermittent line-of-sight links, and heterogeneous radio access technologies. In such environments, conventional reactive mobility management and link adaptation mechanisms struggle to maintain reliable connectivity and quality of service. Furthermore, the lack of accurate, real-time representations of the radio environment limits the ability of networks to anticipate connectivity disruptions and optimize resource allocation proactively.

This PhD project addresses these challenges through the development of predictive network intelligence for integrated terrestrial and NTN systems. In its first phase, the candidate will contribute to the development of a software-defined radio-based spectrum sensing experimental testbed that combines terrestrial and aerial measurement campaigns to collect large-scale radio environment data. These measurements will support the creation of AI-based Digital Twin models capable of virtualizing and forecasting the evolution of the radio-electric environment. In the second phase, the candidate will investigate machine learning and AI-driven algorithms for NTN channel prediction, enabling proactive mobility management across heterogeneous networks. Building upon these predictive capabilities, novel handover and modulation and coding scheme (MCS) adaptation strategies will be explored to improve service continuity for sensing and communication applications spanning ground, aerial, and satellite infrastructures.

Profile

We are looking for highly motivated PhD researchers with an interest in non-terrestrial communication systems design. The candidate should have a solid background in wireless communications, signal processing, and networking fundamentals. Experience with software-defined radio (SDR) systems (e.g., USRP, NI, LimeSDR, or similar) is a plus. In particular, the applicant should

have a master’s degree in Electrical Engineering or Telecommunication Engineering,
be ranked within the top 10% of their class in MSc and BSc, and have exceptional grades,
have strong communication skills and is fluent in English,
have a solid background in wireless communication and networking fundamentals,
have strong interpersonal skills and the ability to work in an international team.
Experience with software-defined radio (SDR) systems (e.g., USRP, NI, LimeSDR, or similar) is a valuable addition.
Hands-on experiance with PCB design is a plus.

Offer

We offer:

A PhD scholarship for up to four years (subject to positive intermediate evaluations). If the applicant is non-EER, up to 1 year of pre-doc will also be supported.
An exciting research environment, working on the intersection between theory and implementation in a very multi-disciplinary research environment.
A PhD title from a highly ranked university (#1 in Europe in terms of scientific innovation) after approximately 4 years of successful research.
A thorough scientific education, the possibility of becoming a world-class researcher.

You will be working on a state-of-the-art topic with state-of-the-art laboratories.

Interested?

To apply, please submit the following in the online portal:

A CV mentioning BSc and MSc average grades.

A motivation letter (1 page maximum)

Complete transcripts of Bachelor’s and Master’s degrees (if the MSc degree is not finished yet, please send the most recent transcript).

(if available) IELTS, TOEFL or similar test proving your proficiency in English.

For more information, please contact Prof. dr. ir. Hazem Sallouha, mail: [email protected] or Mr. Rodney Martinez Alonso, mail: [email protected].

You can apply for this job no later than August 31, 2026 via the online application tool

KU Leuven strives for an inclusive, respectful and socially safe environment. We embrace diversity among individuals and groups as an asset. Open dialogue and differences in perspective are essential for an ambitious research and educational environment. In our commitment to equal opportunity, we recognize the consequences of historical inequalities. We do not accept any form of discrimination based on, but not limited to, gender identity and expression, sexual orientation, age, ethnic or national background, skin colour, religious and philosophical diversity, neurodivergence, employment disability, health, or socioeconomic status. For questions about accessibility or support offered, we are happy to assist you at this email address.

Heb je een vraag over de online sollicitatieprocedure? Raadpleeg onze veelgestelde vragen of stuur een e-mail naar [email protected]

av_timer Tewerkstellingspercentage: Voltijds

location_city Locatie: Leuven

timer Solliciteren tot en met:
31/08/2026 23:59 CET

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engineering vacatures in leuven

AI-Driven System and Link Design for Integrated Non-terrestrial Networks

Physical-layer security for wireless mesh networks

Stage en alternance : Analytical Engineering – Laboratory Automation, Robotics & Physical AI, Belgium – 2026

Field Service Engineer

Junior Digital Physical Design / PnR Engineer

Software Engineer

Phd on Meso–micro high-fidelity wind-farm emulation

Sales Manager – Engineering Division (Automotive, Rail, Aerospace & Defense)

Keg & Draft Systems Innovation Engineer

️ AI Software Engineer

Technical Support Engineer

Business Controller Corporate

Sourcing Category Manager (technical component)

Junior Auditor - Sustainability Reporting & Financial Assurance (September 2026) (Ref. : 2026-1397) - Auditor

Demand Controller - Europe (M, F, X)

Solar & BESS Engineer

Engineering Director – Food & Beverage Industry

Autonomous Delivery Teams Manager

(Junior) Mechanical Engineer - Leuven

Solution Engineer

Ik wil de nieuwste vacature-alerts ontvangen voor de functie van engineering in leuven

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