SnT is a leading international research and innovation centre in secure, reliable and trustworthy ICT systems and services. We play an instrumental role in Luxembourg by fueling innovation through research partnerships with industry, boosting R&D investments leading to economic growth, and attracting highly qualified talent.
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
This is a fully funded position for 3 years (extendable to an additional 4th year) within the large Horizon Europe research project (TALΟN – AuTonomous and Self-organized Artificial InteLligent Orchestrator fOr a Greener INdustry 5.0). Τhe PhD project aims at developing a theoretical framework for an AI orchestrator that envisions to transform the Industry 5.0 paradigm into an automated intelligent platform by exploiting advances in edge networks and bringing intelligence near sensors, in embedded systems with limited computational/storage/communication resources, as well as the integration of advanced and adaptive sensors and perception.The upper goal is the creation of a new system architecture that makes the most by jointly optimizing the edge and cloud resources, enabling centralized, distributed, as well as hybrid intelligence and transforming the AI network into a low power computer, which will be able to use underutilized resources.
The successful candidate will work under the academic supervision of Prof. Björn Ottersten, Prof. Symeon Chatzinotas, and Dr. Konstantinos Ntontin and join a strong and motivated research team.
The position holder will be required to perform the following tasks:
- Contribute to the European project TALΟN – AuTonomous and Self-organized Artificial InteLligent Orchestrator fOr a Greener INdustry 5.0
- Carry out research in the predefined areas Disseminate results through scientific publications
- Present results in well-known international conferences and workshops
Your Profile
Qualification: The candidate should possess a Master degree.
Experience: The ideal candidate should have some knowledge and experience in a number of the following topics:
- AI/Machine learning tools and methods. Documented knowledge on these based on relevant course work/Master thesis is a requirement
- Optimization techniques and tools
- Background in general wireless communications will be considered as an advantage
- Good programming skills in Python. Knowledge of MATLAB is an advantage
Language Skills: Fluent written and verbal communication skills in English are required.
Here’s what awaits you at SnT
- A stimulating learning environment. Here post-docs and professors outnumber PhD students. That translates into access and close collaborations with some of the brightest ICT researchers, giving you solid guidance
- 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 45 industry partners
- Multiple funding sources for your ideas. The University supports researchers to acquire funding from national, European and private sources
- Competitive salary package. The University offers a 12 month-salary package, over six weeks of paid time off, health insurance and subsidised living and eating
- 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
But wait, there’s more!
- Complete picture of the perks we offer
- Discover our Partnership Programme
- Download the brochure: Why choose SnT for your PhD?
Students can take advantage of several opportunities for growth and career development, from free language classes to career resources and extracurricular activities.
In Short
- Contract Type: Fixed Term Contract 36 Month (extendable up to 48 months if required)
- Work Hours: Full Time 40.0 Hours per Week
- Location: Kirchberg
- Employee and student status
- Job Reference: UOL05081
The yearly gross salary for every PhD at the UL is EUR 38.028,96 (full time)
How to apply
Applications should be submitted in English and include:
- Full CV, including:
- For each degree received or currently enrolled in, provide the degree, institution name,
- Institution city and country, and date (or expected date) of graduation. Include the title and short summary of your final (Bachelor / Master) Thesis if you did one.
- List of publications (if any)
- Name, affiliation and contact details of three referees
- Transcript of all modules and results from university-level courses taken
- Cover letter with motivation 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 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 inquiries, please contact Dr. Konstantinos Ntontin (kostantinos.ntontin@uni.lu)