The Interdisciplinary Centre for Security, Reliability and Trust (SnT) invites applications from highly motivated and outstanding researchers in the general area of edge artificial intelligence (AI) for 6G networks within its Signal Processing and Communications (SIGCOM) research group. SnT carries out interdisciplinary research in secure, reliable and trustworthy ICT systems and services, often in collaboration with industrial, governmental or international partners. For further information, you may refer to www.securityandtrust.lu
The research group focuses on wireless/satellite communications and networking and is headed by Prof. Symeon Chatzinotas . The research areas focus on the formulation, modelling, design, and analysis of future 5G and beyond communication networks that are capable of supporting new services in a cost-efficient manner. Use cases of interest include IoT verticals, unmanned aerial vehicles, integrated satellite-space-terrestrial networks, quantum communications and key distribution, spectrum management and coexistence, tactile Internet, and autonomous transportation. As far as technical enablers are concerned, we leverage expertise on massive MIMO cell-free communications, smart-radio environments through the use of intelligent surfaces, machine-type and ultra-reliable and low-latency communications, edge computing and caching, RAN slicing, and network softwarization and visualization. Finally, due to the large-scale nature, complexity, and heterogeneity of 5G and beyond 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 the SDR CommLab, the SDN Lab, the 5G-Space Lab, our SW Simulators, and our OTA Facilties. For further information, you may refer to https://wwwen.uni.lu/snt/research/sigcom
We’re looking for people driven by excellence, excited about innovation, and looking to make a difference. If this sounds like you, you’ve come to the right place!
Your Role...
The successful candidate will primarily contribute to the large Horizon Europe research project ETHER – sElf-evolving terrestrial/non-Terrestrial Hybrid nEtwoRks that is to start on 01/01/2023. ETHER is going to provide a framework for the integrated terrestrial/non-terrestrial network ecosystem that involves an efficient and zero-touch resource management, provides solution for key radio access network challenges, and identifies the business opportunities for potential stakeholders. To realize this novel system concept, ETHER relies on a multi-layered and unified space-aerial-terrestrial architecture, leveraging the benefits of Artificial Intelligence/ Machine Learning (AI/ML) for the optimization of the highly complex and heterogeneous “network of networks”. It will rely on the generation and processing of a massive amount of data that spans the terrestrial, aerial, and space networks. This data will be generated, e.g., by satellites, high altitude platforms (HAPS), Unmanned Aerial Vehicles (UAVs), airplanes, small cells, and User Equipment (UE)/Internet-of-Things (IoT) devices and can reveal hidden trends, thus, proactive network adaptation to foreseen requirements can be achieved. Due to the massive scale of these data, distributed AI/ML approaches are essential, such as multi-agent reinforcement learning and federated learning. Apart from ETHER, the successful candidate is expected to contribute to the development of such a distributed learning framework for additional applications that are of interest to SIGCOM. Indicative areas of interest are Industry 5.0, autonomous driving, and smart healthcare.
In summary, the position holder will be required to perform the following tasks:
- Contribute to the development of distributed AI/ML solutions for the Horizon Europe project ETHER – sElf-evolving terrestrial/non-Terrestrial Hybrid nEtwoRks
- Contribute to the development of distributed AI/ML solutions in further fields of interest to SIGCOM, such as Industry 5.0, autonomous driving, and smart healthcare
- Disseminating results through scientific publications and conferences
- The candidate is expected to actively contribute to the different research projects, either coordinating technical contribution and/or preparing project deliverables
- Providing assistance in the supervision of PhD students
Your Profile...
- A PhD degree in Telecommunication Engineering, or Electrical Engineering, or Computer Science/engineering with a focus on AI/ML tools and methods
- Sound publication track record in relevant international conferences and top journals
- Good knowledge on distributed learning approaches, such as federated and multi-agent reinforcement learning
- Background in optimization theory
- Background in general wireless communications will be considered as an advantage
- Strong programming skills in MATLAB, Python or C++. Other simulation languages such as JULIA are a plus
- Experience of working with industrial projects or public funded research projects is highly desirable
- Highly committed, excellent team-worker, and strong critical thinking
- Excellent written and verbal communication skills in English
Here’s what awaits you at SnT...
- Exciting infrastructures and unique labs. At SnT’s two campuses, our researchers can take a walk on the moon at the LunaLab, build a nanosatellite, or help make autonomous vehicles even better
- The right place for IMPACT. SnT researchers engage in demand-driven projects. Through our Partnership Programme, we work on projects with more than 55 industry partners
- Be part of a multicultural family. At SnT we have more than 60 nationalities. Throughout the year, we organise team-building events, networking activities and more
In Short...
- Contract Type: Fixed Term Contract 24 Month (which may be extended up to five years)
- Work Hours: Full Time 40.0 Hours per Week
- Location: Kirchberg
- Job Reference: UOL05357
The yearly gross salary for every Postdoctoral Researcher at the UL is EUR 77167 (full time)
How to apply...
Applications in English should include:
- Curriculum Vitae, including:
- Contact address
- For each degree received or currently enrolled in, provide the degree, institution name, institution city and country, and start date and date (or expected date) of graduation.
- Include the title and short summary of your PhD Thesis and supervisor name (and Bachelor / Master Thesis if you did one)
- If you do not have yet received your PhD but will do soon, please include a tentative graduation date
- List of publications (authors, title, journal/conference name and date of publication). Provide a link in case of open access
- Name, affiliation and contact details of three referees
- Cover letter with motivations and topics of particular interest to the candidate (approx. 1 page)
All qualified individuals are encouraged to apply.
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 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.
About the University of Luxembourg...
University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character. The University was founded in 2003 and counts more than 6,700 students and more than 2,000 employees from around the world. The University’s faculties and interdisciplinary centres focus on research in the areas of Computer Science and ICT Security, Materials Science, European and International Law, Finance and Financial Innovation, Education, Contemporary and Digital History. In addition, the University focuses on cross-disciplinary research in the areas of Data Modelling and Simulation as well as Health and System Biomedicine. Times Higher Education ranks the University of Luxembourg #3 worldwide for its “international outlook,” #20 in the Young University Ranking 2021 and among the top 250 universities worldwide.
Further information
For further information, please contact: Dr. Konstantinos Ntontin (kostantinos.ntontin@uni.lu)
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