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Phd Candidates for Radar-based 4d Imaging with
il y a 2 semaines
**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 fuelling innovation through research partnerships with industry, boosting R&D investments leading to economic growth, and attracting highly qualified talent.
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
**Your Role**:
**PhD Topic 1: “Optimal antenna placement and waveform design for Massive MIMO 4D imaging radar sensors”**
The PhD topic focus on how to optimize the placement of antennas and the design of waveforms for Massive MIMO 4D imaging radars. This would involve investigating different optimization tools, antenna configurations and waveform parameters to maximize the performance of the radar system in terms of accuracy, resolution, and range.
**Outcomes**:
- The PhD student will be the first author on at least two journal publications and four conference publications.
**For the PhD Topic1**, the profile should have a strong background in radar technology, antenna design, and signal processing. Excellent programming skills, particularly in MATLAB or Python, would be beneficial.
**PhD Topic 2: “AI-assisted receiver design for Massive MIMO 4D imaging radars”**
The PhD topic will focus on designing receiver for Massive MIMO 4D imaging radar systems, while developing AI-assisted techniques for object detection and tracking. The goal of this research would be reducing the requirement for high sampling rate ADCs, and improving the accuracy and efficiency of the detection and tracking processes using advanced machine learning algorithms.
**Outcomes**:
- The PhD student is expected to publish at least two journal publications and four conference publications as the first author.
**Your Profile**:
- Radar Systems and Signal Processing
- Optimization methodologies
- Machine Learning and deep learning
Development skills in MATLAB/python/C++ is required and exposure to latest signal processing techniques, linear algebra and deep learning are desirable. Exposure to HW prototyping using mmWave radar sensor and USRPs is a plus.
**Language Skills**: Fluent written and verbal communication skills in English are required.
**Here’s what awaits you at SnT**:
- **A stimulating learning environment.** Here post-docs and professors outnumber PhD students. That translates into access and close collaborations with some of the brightest ICT researchers, giving you solid guidance
- **Exciting infrastructures and unique labs.** At SnT’s two campuses, our researchers can take a walk on the moon at the LunaLab, build a nanosatellite, or help make autonomous vehicles even better
- **The right place for IMPACT. **SnT researchers engage in demand-driven projects. Through our Partnership Programme, we work on projects with more than 55 industry partners
- **Multiple funding sources for your ideas**. The University supports researchers to acquire funding from national, European and private sources
- **Competitive salary package**. The University offers a 12 month-salary package, over six weeks of paid time off, meal vouchers and health insurance
- **Be part of a multicultural family**. At SnT we have more than 60 nationalities. Throughout the year, we organise team-building events, networking activities and more
- **Boost your career**. Students can take advantage of several opportunities for growth and career development, from free language classes to career resources and extracurricular activities
But wait, there’s more
- Complete picture of the perks we offer
- Discover our Partnership Programme
**In Short**:
- Number of positions: 2
- Contract Type: Fixed Term Contract 36 Month (extendable up to 48 months if required)
- Work Hours: Full Time 40.0 Hours per Week
- Location: Kirchberg
- Employee and student status
- Job Reference: UOL06224
The yearly gross salary for every PhD at the UL is EUR 40952 (full time)
**How to apply**:
Applications should be submitted online and include:
- Transcript of all modules and results from university-level courses taken
All qualified individuals are encouraged to apply.
The University of Luxembourg embraces inclusion and diversity as key values. We are fully committed to removing any discriminatory barrier related to gender, and not only, in recruitment and career progression of our staff.
**About the University of Luxembourg**:
**University of Luxembourg** is an **international research** university with a distinctly **multilingual** and **interdisciplinary** character. The University was founded in 2003 and counts more than 6,700 students and more than 2,000 employees from around the world. The University’s faculties and interdisciplinary centres focus on research in the areas of Computer Science and ICT Security, Materials Science, European and International
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