PhD for Next Gen Radar Sensing Networks
at Springer Nature
Luxembourg, Canton Luxembourg, Luxembourg -
Start Date | Expiry Date | Salary | Posted On | Experience | Skills | Telecommute | Sponsor Visa |
---|---|---|---|---|---|---|---|
Immediate | 07 Jul, 2024 | Not Specified | 08 Apr, 2024 | N/A | Machine Learning,Signal Processing,Wireless Sensor Networks,Information Theory | No | No |
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Description:
PHD FOR NEXT GEN RADAR SENSING NETWORKS
Employer
Interdisciplinary Centre for Security, Reliability and Trust (SnT), University of Luxembourg
Location
Luxembourg
Salary
Negotiable
Closing date
4 Jun 2024
Discipline
Computing, Engineering, Mathematics
Job Type
PhD Position
Employment - Hours
Full time
Duration
Fixed term
Qualification
Masters
Sector
Academia
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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.
The SPARC group in SnT is pursuing research on wireless communications and radar signal processing in partnership with national and international academic and industrial collaborators. Updated information about the recent activities of SPARC can be found here: www.radarmimo.com/
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!
POSITION DESCRIPTION:
To augment the current research and investigate interesting novel problems identified in the aforementioned areas, the SPARC group is looking for a Doctoral candidate to work in any of the aforementioned applications of next generation radar networks. The research would be based on radar signal processing principles and would involve system modelling, use of optimization or data-driven methods for system optimization and an elaborate performance analysis. The PhD would focus on one of the following:
- Theoretical performance bounds on radar tasks in distributed radar networks with the use of large reflective surfaces and robust estimation algorithms
- Novel high mobility joint radar and communication systems exploring novel architectures (ultra-massive MIMO, intelligent surfaces), new modulation techniques exploiting available dimensions in next generation sub-THz/ THz systems
- Novel approaches to radar based health monitoring, including vital sign monitoring in the absence of a controlled environment through the use of distributed sensors
- erif; font-size: 12px;">Novel algorithms and architectures for distributed point cloud processing for target detection, identification and tracking
- Statistical analysis of interference in radar networks
- Novel radar related applications including automotive, autonomous vehicles, in-cabin monitoring, occupancy sensing, drones, multi-copters, gesture recognition, smart buildings, smart street lighting, smart factories, and robotics
- Novel methodologies for improving the performance of radar systems for weather applications, and dual use radar systems
Responsibilities:
The group has been working on next generation radar sensors in different applications, including automotive, autonomous vehicles, in-cabin monitoring, occupancy sensing, drones, multi-copters, gesture recognition, smart buildings, smart street lighting, smart factories, healthcare and robotics. The emerging radar sensors that are in use by the group, are using multiple input multiple output (MIMO) technology and can be connected to build distributed and co-operative sensing networks. SPARC group has further expanded its research to integrated sensing and communications, weather radar systems and metacognitive radars,. To develop the signal processing techniques, the group researchers are using real data captured by the available radar modules at the lab, or the custom built MIMO radar with flexibility of changing the transmit waveform and signal processing units on the fly. Its members have been involved in a number of seminal papers in the area of waveform optimization, vital signs monitoring, joint radar and communications, sparse arrays, interference modeling, 4D radar imaging, distributed sensing, and tracking. SPARC has also collaborating with long term industry partner IEE S.A (www.iee.lu) , University of Naples Federico II, US Airforce Laboratories, TU Berlin and TU Munich among others.
REQUIREMENT SUMMARY
Min:N/AMax:5.0 year(s)
Information Technology/IT
IT Software - Other
Software Engineering
Phd
Proficient
1
Luxembourg, Luxembourg