Doctoral Candidate (PhD student) in Resource Allocation for Mobile Multihop Relays Enhanced by Reconfigurable Intelligent Surfaces
University of Luxembourg
Esch-sur-Alzette, Luxembourg
il y a 7h

About the SnT

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.

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 a large, national research project ( RISOTTI R econfigurable I ntelligent S urfaces f O r Smar T Ci TI es).

The objectives of the PhD project are defined in accordance with the project directions. More precisely, the PhD project aims at resource allocation techniques as well as linear and non-linear precoding techniques for mobile multihop reconfigurable intelligent surfaces (RIS).

Here, the objective will be to determine the optimal design techniques and optimization methods for joint active and passive multihop relaying.

These techniques will be further enhanced in order to operate in large wireless networks with system requirements according to the envisioned concept of Smart Cities.

The successful candidate will work under the academic supervision of Prof. Ottersten (University of Luxembourg) and join a strong and motivated research team of SnT.

The position holder will be required to perform the following tasks :

  • Contribute to the national project RISOTTI
  • Project website : RISOTTI
  • Carry out research in the predefined areas
  • Disseminate results through scientific publications
  • Present results in well-known international conferences and workshops
  • Your Profile

    The candidate should possess a Master degree in Electronic Engineering, Computer Science or similar.

    The ideal candidate should have knowledge and experience in the following topics :

  • Strong background on signal processing for wireless communications
  • Background on beamforming / precoding for multiuser wireless networks
  • Optimization techniques and tools
  • Resource allocation techniques
  • Machine learning and statistical inference
  • Strong programming skills in MATLAB, C / C++ or Python
  • Language Skills : Fluent written and verbal communication skills in English are required.

    Here’s what awaits you at SnT

    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
  • Work Hours : 40.0 Hours per Week
  • Location : Kirchberg
  • Job Reference : UOL03717
  • Further Information

    Applications should be submitted online 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 motivations and topics of particular interest to the candidate (approx. 1 page)
  • All qualified individuals are encouraged

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