PhD Candidate for Radar-Based 4D Imaging with Advanced Massive-MIMO Signal Processing

Your role

The technology of Massive MIMO, through the deployment of numerous antennas at both the transmit (Tx) and receive (Rx) chains, has revolutionized wireless communications by significantly improving capacity and reliability, making it a favored option for various applications, including 5G. This technology has opened exciting new possibilities for 4D (three-dimensional space + Doppler) imaging using mmWave radar sensors, with exceptional spatial and temporal resolution. By utilizing a large number of antennas to transmit and receive signals, Massive MIMO radar can focus energy toward the intended target, minimizing interference from other sources. This enables the sensor to capture fine details about an object’s position, velocity, and movement direction, which can be invaluable for applications such as medical imaging, autonomous driving, in-car monitoring, industrial automation, and security surveillance.

The research, called “R4DAR,” aims to leverage emerging 4D imaging technology with Massive MIMO to create image-like radar observations in a more feasible way. The project focuses on addressing existing gaps in knowledge of Massive MIMO for radar, functional limitations, and sensing robustness while incorporating new features and achieving lower system costs.

More information on the project: https://radarmimo.com/4d-imaging-automotive-mimo-radar/

The selected PhD candidate will work on one of the following research topic:

• Optimal antenna placement and waveform design for Massive MIMO 4D imaging radar sensors

This PhD research will focus on optimizing antenna placement and waveform design for Massive MIMO 4D imaging radars. It will involve investigating different optimization tools, antenna configurations, and waveform parameters to maximize the radar system’s performance regarding accuracy, resolution, and range.

Structure and methodology:

• The PhD student will receive guidance from the advisory committee on prior-art and challenges in Massive MIMO 4D imaging radar
• They will address these challenges by optimizing waveforms and antenna placements

Expected Outcomes:

• The PhD student will be the first author on at least two journal publications and four conference publications
• The student will support validation activities by demonstrating the effectiveness of their research in real-world applications

The ideal candidate should have a strong background in radar technology, antenna design, and signal processing. Excellent programming skills, particularly in MATLAB or Python, would be beneficial.

Your profile

• The candidate should possess (or be in the process of completing) an MSc degree or equivalent in Electrical/Electronic Engineering, Computer Science, Applied Mathematics, or Physics with an electromagnetic background
• Strong theoretical knowledge in some of the following areas:
• Radar Systems and Signal Processing
• Optimization methodologies
• Machine Learning and Deep Learning
• Development skills in MATLAB/Python/C++ are required
• Exposure to the latest signal processing techniques, linear algebra, and deep learning is desirable
• Experience with hardware prototyping using mmWave radar sensors and USRPs is a plus
• Fluent written and verbal communication skills in English are required

We offer

• Multilingual and international character. Modern institution with a personal atmosphere. Staff coming from 90 countries. Member of the “University of the Greater Region” (UniGR)
• A modern and dynamic university. High-quality equipment. Close ties to the business world and to the Luxembourg labour market. A unique urban site with excellent infrastructure
• A partner for society and industry. Cooperation with European institutions, innovative companies, the Financial Centre and with numerous non-academic partners such as ministries, local governments, associations, NGOs …