Research Associate (Postdoc) in machine learning optimization and FPGA acceleration for 5G/6G physical layer
Université du Luxembourg
- Kirchberg, Luxemburg
- € 81.072 pro Jahr
- Freiberuflich
- Vollzeit
- Optimize 5G New Radio (NR) with waveform based on orthogonal frequency-division multiplexing (OFDM) and its evolution for satellite communication (Satcom) applications
- 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
- 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
- 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
- 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: UOL05980
- Curriculum Vitae, including:
- Contact address
- For each degree received or currently enrolled in, provide the degree, insitution nam, institution city and country, and start/end 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)