Publisher
source

University of Luxembourg

PhD in Next Generation Radar Sensing Networks University of Luxembourg in Luxembourg

Degree Level

PhD

Field of study

Computer Science

Funding

Full funding available
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Country

Luxembourg

University

University of Luxembourg

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Keywords

Computer Science
Electrical Engineering
Mathematics
Optimisation
Robotics
Wireless Sensor Network
Physics
Machine learning

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About this position

PhD opportunity at the University of Luxembourg, within the Interdisciplinary Centre for Security, Reliability and Trust (SnT) and the SPARC group, focused on next generation radar sensing networks. The research sits at the intersection of radar signal processing, wireless communications, MIMO, optimization, machine learning, and distributed sensing.

The group works on radar sensing for applications such as automotive and autonomous vehicles, in-cabin monitoring, occupancy sensing, drones, multi-copters, gesture recognition, smart buildings, smart street lighting, smart factories, healthcare, weather radar, and robotics. The PhD can focus on topics including theoretical performance bounds for distributed radar networks, high-mobility joint radar-communication systems, radar-based health monitoring, distributed point cloud processing for detection/tracking, interference analysis, and novel radar architectures.

Applicants should have a master’s degree or be near completion in Electrical/Electronic Engineering, Computer Science, Applied Mathematics, or Physics with an electromagnetic background. Strong preparation in radar systems, signal processing, multiuser MIMO/5G, wireless sensor networks, optimization, information theory, or machine learning is preferred. Required technical skills include MATLAB, Python, or LabView; experience with USRPs, radar sensors (FMCW/CW/pulse), linear algebra, and tensors is a plus. Fluent English is required.

The position is based at Kirchberg Campus in Luxembourg and is a full-time fixed-term PhD contract. Funding information on the page mentions a competitive salary package, over six weeks of paid time off, health insurance, subsidised living and eating, and access to multiple funding sources, but no exact stipend amount is listed.

To apply, submit the online application in English through the HR portal. Include a full CV with publications, bachelor/master thesis details, and reference contacts, transcripts of all university-level courses, and a 300-word research statement describing your topics of interest. Applications are reviewed upon receipt, and email applications will not be considered.

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

More information can be found here

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