Research Associate

The University of Luxembourg is seeking to hire a highly motivated and outstanding researcher in the area of machine learning optimization for physical layer applied to satellite communications in 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...**:
This is a fully funded postdoc position for 2 years within an ESA project (TANNDEM-Demodulator based on Artificial Neural Network). Therefore, the objectives of the postdoc are defined in accordance with the TANNDEM directions toward reducing complexity and resources in the receiver, as well as increasing the performance for integrating satellites on 5G networks. More precisely, the work aims at designing artificial neural networks for different functionalities in the physical layer.
- Design machine learning models to reduce the computational complexity and power consumption of several physical layer processing blocks of the receiver, such as decoding, channel estimation, and demodulation
- Ensure the ML models reduce the complexity while maintaining satisfactory performance in terms of throughput and bit-error-rate
- Identify the most suitable metrics to evaluate the machine learning models considering the system performance
- Implementing and developing a software and/or hardware testing environment to compare and evaluate the proposed techniques and architectures
- Disseminating results through scientific publications and conferences
- Contribute to the different research projects, either coordinating technical contributions and/or preparing project deliverables
- Preparing new research proposals to attract industrial, national, and European projects
- Eventually 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 wireless communications and AI/ML tools and methods
- Experience in signal processing for wireless communications algorithms. Especially strong knowledge of the physical layer (tasks such as decoding, demodulation, and estimation)
- Background in optimization theory
- Experience using machine learning to solve/improve physical layer processing tasks, especially decoding
- Practical experience in using FPGA accelerators such as Versal to train/evaluate AI/ML models
- Sound publication track record in relevant international conferences and top journals in the following research areas (at least one IEEE Transaction publication is mandatory)
- Strong programming skills in MATLAB, Python/TensorFlow/Sionna. Others, like C/C++, are a plus but not mandatory
- International experience is desirable
- Experience working with industrial 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