2 Research Associates (Postdocs) in Architectures, Algorithms and In-lab Demonstration of 5G Radar (M/F)

Страна: Люксембург;

Город: Luxembourg

Добавлена: 19.01.2019

Работодатель: University of Luxembourg

Тип: PostDoc vacancy;

Дедлайн подачи: 15.02.2019


The University of Luxembourg is a multilingual, international research University.

The Interdisciplinary Centre for Security, Reliability and Trust (SnT) invites applications from PhD holders for conducting research and development in the emerging area of next generation radar (5G Radar).

2 Research Associates (Postdocs) in Architectures, Algorithms and In-lab Demonstration of 5G Radar (M/F)

  • Ref:  50013967 – 50013968 (R-STR-5010-00-B)
  • Fixed-term contract 2 years, full-time position (40hrs/week)
  • Number of positions: 2
  • Employee status

SnT carries out interdisciplinary research in secure, reliable and trustworthy ICT systems and services, often in collaboration with industrial, governmental or international partners. We are currently pursuing research on automotive radar applications in partnership with IEE (www.iee.lu), a Luxembourg based global leader in automotive safety sensing systems. Recently, Prof. Bjorn Ottersten Director of SnT, has been awarded the prestigious European Research Council (ERC) Advanced Grant to pursue research on cognitive radar systems with applications to automotive radar, this activity is now expanding to develop  next generation signal processing techniques for (5G). For further information you may check: www.securityandtrust.lu and http://wwwen.uni.lu/snt/research/sigcom.

Your Role

Motivated by the 5G communication paradigm and the platform it offers, widely separated multiple-input-multiple-output (MIMO) radar systems are being investigated in the context of 5G Radar. This emerging field opens interesting avenues for pursuing research in radar signal processing and joint radar-communication, specially on

  • Relevant architectures for 5G radar including high level information exchange mechanisms
  • Associated signal-processing elements including waveform and receiver design as well as their adaptation to dynamic scenarios
  • In-lab demonstration for dynamic environments with focus on the automotive sector

The research associates will have further the opportunity to work towards in-lab demonstration of the developed techniques using USRP/SDR implementations in CommLab of SnT (http://wwwen.uni.lu/snt/research/sigcom/communications_lab).

The SigCom research group is in a unique position towards realizing the objectives of the project having exposure to radar signal processing through ongoing research projects, industrial collaboration, as well as experience with prototype chip sets from the test-bench development/experimental activity.

The successful candidates will join a strong and motivated research team lead by Prof. Björn Ottersten and Dr. Bhavani Shankar in order to carry out research in the area of signal processing for next generation radar systems.

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

  • Shaping research directions in line with project objectives, pursuing research and delivering project outputs
    • Carrying out cutting edge research activities in architectural definition, waveform design and receiver processing, enabling cognition in next generation radar systems with applications to automotive
    • Participating in development of the SDR based Radar test bench and validation of pursued research
  • Disseminating the results through scientific publications in high impact factor journals
  • Presenting the results in the internationally well-known conferences and workshops
  • Attracting funding in cooperation with partners
  • Providing guidance to PhD and MSc students
  • Assisting in teaching duties
  • Organizing relevant workshops

For further information, please contact Bhavani.Shankar@uni.lu or Bjorn.Ottersten@uni.lu.

Your Profile

Qualification: The candidate should possess (or be in the process of completing) a PhD degree or equivalent in Electrical/Electronics Engineering, Computer Science or Applied Mathematics.

Experience: The ideal candidate should have research project-based experience (FP7/H2020, Industry) and publication record in a number of the following topics:

  • Active Sensing and Radar Systems
  • Widely Separated MIMO Radar, Waveform Design and Signal Processing
  • Target Classification and Recognition
  • Statistical Signal Processing
  • Machine/Deep Learning Applied to Radar Systems
  • In-lab Demonstration
  • Optimization theory, algorithms and Linear Algebra

Exposure to USRP/SDR implementation and familiarity with FPGA programming is considered as an advantage. Development skills in one of the programming languages, MATLAB, LabView or C++ are required.

Exposure to the latest radar technology and digital communications is desirable.

Language Skills: Fluent written and verbal communication skills in English are required.

We offer

The University offers a two year employment contract and may be extended up to five years. The University offers highly competitive salaries and is an equal opportunity employer. You will work in an exciting international environment and will have the opportunity to participate in the development of dynamic research team.  

Further Information

Application should be submitted online and include:

  • Full CV, including list of publications and name (and email address, etc) of three referees
  • Transcript of all modules and results from university-level courses taken
  • Research statement and topics of particular interest to the candidate (300 words).

 Deadline for applications:  February 15th, 2019.  Applications will be processed as they arrive; early application is highly encouraged.

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