The Interdisciplinary Centre for Security, Reliability and Trust (SnT) invites applications from PhD holders in the general area of signal design and receive processing in distributed sensors, preferably in, widely separated multiple-input-multiple-output (MIMO) radars, wireless sensor networks, and passive coherent localization for dynamic environments to investigate:
• System design for opportunistic sensing and localization using LTE/5G signals.
The research associates will have further the opportunity to work towards in-lab demonstration of the developed techniques using USRP/SDR implementations in Radar Lab of SnT (https://radarmimo.com/?page_id=1021).
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, evolution of communication standards through participation and contribution as well as experience with prototype chip sets from the test-bench development activity.
SnT is carrying out interdisciplinary research in secure, reliable and trustworthy ICT systems and services, often in collaboration with industrial, governmental or international partners. It is pursuing research on automotive radar applications in partnership with IEE (www.iee.lu), a Luxembourg based global leader in automotive safety sensing systems for occupant detection and classification. 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. For further information you may check: www.securityandtrust.lu and http://wwwen.uni.lu/snt/research/sigcom
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 design and receive processing for distributed opportunistic sensing.
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 system design, receiver processing including target detection/ parameter estimation and localization in distributed opportunistic sensing systems
- Participating in development and upgradation of the SDR based Radar test bench based on 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
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
- Wireless Communications
- Wireless sensor networks
- Target Classification and Recognition
- Statistical Signal Processing
- Optimization theory, algorithms and Linear Algebra
Language Skills: Fluent written and verbal communication skills in English are required.
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 a newly created university.
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: March 15th, 2020. Applications will be processed as they arrive; early application is highly encouraged.