Research Associate in 6g Radio Access Network

Il y a 5 mois


Luxembourg Université du Luxembourg Temps plein

**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 University of Luxembourg is seeking to hire a highly motivated and an outstanding researcher in the area of 6G Radio Access Network (RAN) design for its Interdisciplinary Centre of Security and Trust (SnT), within the Signal Processing and Communications (SigCom) research group, led by Prof. Symeon Chatzinotas.

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...**:

- Integrate with the SIGCOM research group and contribute to the SIGCOM on-going research projects
- Identify and shortlist potential technological solutions to improve the performance of future 6G RAN
- Design and develop algorithms able to provide a good performance-complexity trade-off for the identified scenarios and use cases.
- Compare conventional optimization tools with advance artificial intelligence solutions
- Implement a SW-based demonstrator for testing the developed algorithms
- Compare with state-of-the-art and conventional solutions via numerical simulations
- Disseminating results through scientific publications and conferences
- Preparing new research proposals to attract new projects
- 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 artificial intelligence
- Experience with 5G communication systems
- Experience with non-terrestrial networks (NTNs) is considered a plus but it is not required
- Solid background on mathematical optimization tools
- Good knowledge of the recent trends in machine learning design
- International experience is desirable
- Sound publication track record in relevant international conferences and top journals (at least one IEEE Transaction publication is mandatory)
- Strong programming skills in Python, MATLAB and LaTeX. Other languages such as Lava, Julia, C++, are desirable but not mandatory
- Experience of working with industrial projects or public funded research projects is highly desirable
- Highly committed, excellent team-worker, and strong critical thinking skills
- 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



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