PostDoc in AI Development for Telecommunication Systems

University of Luxembourg

Luxemburg

Sur place

EUR 76 658 - 93 693

Plein temps

14 jours+

Recevez plus de réponses des employeurs

Envoyez un CV adapté au poste en quelques minutes.

Avantages offerts par ce poste

Multilingual and international work environment

Modern equipment and resources

Cooperation with innovative companies

Résumé du poste

A prestigious research university in Luxembourg is seeking a Postdoctoral Researcher to contribute to AI-related projects in wireless communications. The role involves developing innovative algorithms and collaborating with interdisciplinary teams. Ideal candidates should hold a Ph.D. in a relevant field and possess experience in machine learning and communications. Full-time position with a gross salary of EUR 85,176 annually.

Qualifications

Proven research excellence with publications in AI-related fields.
Hands-on experience in machine learning frameworks.
Experience with Edge AI platforms is a plus.

Responsabilités

Develop AI-driven algorithms for real-time analytics in communications.
Collaborate with teams to integrate AI into telecommunication architectures.
Publish research findings in top-tier journals.

Connaissances

Machine learning expertise

Time-series data analytics

Fluency in English

Excellent teamwork and communication skills

Formation

Ph.D. in Electrical/Computer Engineering or related discipline

Outils

Python

PyTorch

NVIDIA Jetson

Raspberry Pi

Description du poste

Organisation/Company University of Luxembourg Research Field Educational sciences » Education Researcher Profile Recognised Researcher (R2) Country Luxembourg Application Deadline 19 Sep 2026 - 01:28 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No

Offer Description

About the SnT

The University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character.

The Interdisciplinary Centre for Security, Reliability and Trust ( SnT ) at the University of Luxembourg is a leading international research and innovation centre in secure, reliable and trustworthy ICT systems and services.
We play an instrumental role in Europe by fueling innovation through research partnerships with industry, boosting R&D investments leading to economic growth, and attracting highly qualified talent. We look for researchers from diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and ICT Services & Applications.

Your role

The SigCom research group of SnT, headed by Prof. Symeon Chatzinotas, focuses on wireless/satellite communications and networking. The research areas focus on the formulation, modeling, design, and analysis of future 6G communication networks that are capable of supporting new services for digital ecosystems. Use cases of interest include Security and Efficient Wireless Communication Solutions, IoT verticals, Unmanned Aerial Vehicles, Integrated Satellite-Space-Terrestrial Networks, Quantum Communications and Key Distribution, Spectrum Management and Coexistence, Tactile Internet, Earth Observation, and Autonomous Transportation. As far as technical enablers are concerned, we leverage expertise on advanced technologies including semantic/task-oriented data processing, signal processing, network resource management to improve the performance of the future wireless communication systems. Finally, due to the large-scale nature, complexity, and heterogeneity of 6G networks, for their analysis and optimization, we use tools such as artificial intelligence/machine learning, graph theory and graph‑signal processing, and convex/non‑convex optimization. Furthermore, our activities are experimentally driven and supported by COMMLab, 6GSPACE Lab, HybridNetLab, QCILab, TelecomAI Lab, CSAT Lab, our SW Simulators, and our Facilities. For further information, you may refer to https://www.uni.lu/snt-en/research-groups/sigcom/ .

The successful candidate will join the SIGCOM Research Group and contribute to AI‑related projects at the intersection of advanced AI techniques - including Foundation Models/ Large Language Models, Generative AI, Federated and Decentralized Learning, Neurosymbolic and Hybrid AI, Self‑Supervised and Few‑Shot Learning - and their integration into wireless communications and edge computing systems. The position offers an exciting opportunity to engage in cutting‑edge research that addresses both theoretical challenges and practical applications.

Key Responsibilities:

Develop innovative methods and tools for adaptive, AI‑driven embedded algorithms to support real‑time analytics and decision‑making in IoT, wireless communication, and remote sensing systems
Collaborate with multidisciplinary teams in TelecomAI Lab to integrate AI models and tools into advanced telecommunication system architectures
Support lab activities related to designing and optimizing AI implementations across various platforms, including embedded and edge computing environments (e.g., Jetson, Raspberry Pi, FPGA, neuromorphic chips)
Publish results in top‑tier journals and present at leading international conferences and workshops
Contribute to research dissemination and outreach activities, including engagement with students and the broader public

For further information, please contact Prof. Eva LAGUNAS at or Dr. Vu Nguyen Ha at vu- .

Your profile

A Ph.D. in Electrical/Computer Engineering, Computer Science, or a related discipline
Proven research excellence with a solid track record of publications in relevant top‑tier journals and conferences in applied AI
Expertise in one or more of the following areas:
- Time‑series data analytics
- IoT and wireless communication
- Goal‑oriented semantic communication
- Edge intelligence and resource optimization
Strong command of machine learning with hands‑on implementation experience:
- Deep Reinforcement Learning, DNNs/CNNs
- Federated and Decentralized Learning (Split Learning, Swarm Learning, peer‑to‑peer FL)
- Fine‑tuning FMs/LLMs for domain‑specific applications
- Generative AI (Signal/channel generation, simulation environments, semantic compression, etc.), Semantic‑aware Models and Explainable AI
Proficiency in Python and machine learning frameworks such as PyTorch
Hands‑on experience with Edge AI platforms such as neuromorphic brain kits, NVIDIA Jetson, FPGAs, Raspberry Pi, etc., is a plus
Experience with industrial collaborations or public‑funded research projects is highly desirable. International experience is also considered an asset
Excellent teamwork, communication, and critical thinking skills
Fluency in English (both written and spoken) is required

We offer

Multilingual and international character. Modern institution with a personal atmosphere. Staff coming from 90 countries. Member of the "University of the Greater Region" (UniGR)
A modern and dynamic university. High‑quality equipment. Close ties to the business world and to the Luxembourg labour market. A unique urban site with excellent infrastructure
A partner for society and industry. Cooperation with European institutions, innovative companies, the Financial Centre and with numerous non‑academic partners such as ministries, local governments, associations, NGOs …

How to apply

Applications should include:

Detailed academic background (degree, institution, country, dates)
Title and summary of the Ph.D. thesis (include Bachelor/Master theses if applicable)
Full list of publications (with links if open access)
Your motivation for applying
Research interests and relevant experience
Topics or projects of particular interest

Early application is highly encouraged, as the applications will be processed upon reception. Please apply ONLINE formally through the HR system. Applications by Email will not be considered.

The University of Luxembourg is committed to achieving gender parity among its staff. Should candidates present equivalent profiles, preference will be given to female candidates in all departments where gender parity is not yet achieved.

The University of Luxembourg embraces inclusion and diversity as key values. We are fully committed to removing any discriminatory barrier related to gender, and not only, in recruitment and career progression of our staff.

General information: