University of Luxembourg
PhD candidate in mmWave Cognitive Radar (M/F)
University of Luxembourg
The University of Luxembourg aspires to be one of Europe’s most highly regarded universities with a distinctly international, multilingual and interdisciplinary character.
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JOB DETAILS
Published: 1 month ago
Application deadline: Feb 15
Location: Luxembourg, Luxembourg
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PhD candidate in mmWave Cognitive Radar (M/F)

  • Ref: R-STR-5010-00-B
  • Fixed-term contract up to 3 years in total, pending satisfaction of progress milestones (CDD),
  • Full time basis (40hrs/week)
  • Number of positions: 1
  • Employee and student status

The Interdisciplinary Centre for Security, Reliability and Trust (SnT) invites applications from PhD candidates in the general area of Radar Array processing for automotive applications. SnT is carrying out interdisciplinary research in secure, reliable and trustworthy ICT systems and services, often in collaboration with industrial, governmental or international partners.

The Centre is rapidly expanding its research activities and is seeking highly motivated PhD candidates who wish to pursue research in close cooperation with our partners. For further information you may check: www.securityandtrust.lu and http://wwwen.uni.lu/snt/research/sigcom .

The research projects will be conducted in partnership with IEE (www.iee.lu), a global leader in automotive safety sensing systems for occupant detection and classification headquartered in Luxembourg.

For further information, please contact us at Bhavani.Shankar@uni.lu.

Your Role

The successful candidate will join a strong and motivated research team lead by Prof. Björn Ottersten in order to carry out PhD research on the following topic:

Emerging applications like autonomous vehicles or sensing for airborne devices such as drones mandate enhanced situational awareness of the complex dynamic environment from radar sensing systems. Dynamic environments naturally require radar systems to be cognitive, where in they update their operational parameters to enhance situational awareness within the interrogation environment. This calls for design and implementation of waveforms amenable for adaptation as well as reconfigurable receiver structures enabling efficient detection, estimation and classification of the environment. Further, central to the cognitive approach is the feedback loop from the receiver allowing appropriate adaptation of the transmitter. Such a cognitive radar paradigm would be the norm when devices with simultaneous communication and sensing capability proliferate the market, especially in the Vehicle-to-Vehicle (V2V) communications envisaged by 5G. The study focusses on mmWave paradigm in view of the emerging spectrum trends.

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

  • Carrying out research in the predefined areas
  • Disseminating results through scientific publications
  • Participating in in-lab validation of the concepts using state-of-the-art mmWave chipsets
Your Profile

The candidate should possess an MSc degree or equivalent in Electrical/Electronic Engineering, Computer Science or Applied Mathematics.

Experience: The ideal candidate should have some knowledge and experience in a number of the following topics:

  • Statistical Signal Processing
  • Radar Signal Processing
  • Array Signal Processing
  • Compressed Sensing

and be familiar with the principles of

  • Optimization theory
  • Linear algebra
  • Multivariate statistics

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

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

We offer

The University offers a Ph.D. study program with a Fixed Term Contract up to 3 years in total, pending satisfaction of progress milestones (CDD), full-time (40 hrs/week). The University offers highly competitive salaries and is an equal opportunity employer. The candidate will work in an exciting international environment.

Further Information

Application should be sent online, in English and should include:

  • Full CV, including list of publications and names (and contact information including email addresses) of three references
  • Transcript of all modules and results from university-level courses taken
  • Research statement and topics of particular interest to the candidate (300 words).

All qualified individuals are encouraged to apply.

The University of Luxembourg is an equal opportunity employer. The last date for application is February 15, 2018.

Applications will processed as they arrive; early application is highly encouraged.

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