Phd Candidate for Radar-based 4d Imaging with Advanced Massive-mimo Signal Processing
il y a 1 semaine
The University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character.
The Interdisciplinary Centre for Security, Reliability and Trust (SnT) at the University of Luxembourg is a leading international research and innovation centre in secure, reliable and trustworthy ICT systems and services.
We play an instrumental role in Europe by fueling innovation through research partnerships with industry, boosting R&D investments leading to economic growth, and attracting highly qualified talent. We look for researchers from diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and ICT Services & Applications.
**Your role**:
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.
- 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
**Your profile**:
- 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
**How to apply**:
- Applications should include:_
- Cover letter
- Transcript of all modules and results from university-level courses taken
- General information:_
- Contract Type: Fixed Term Contract 36 Month
- Work Hours: Full Time 40.0 Hours per Week
- Location: Kirchberg Campus
- Internal Title: Doctoral Researcher
- Job Reference: UOL07523
The yearly gross salary for every PhD at the UL is EUR 41976 (full time).
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