Phd Candidate in Beyond Cognitive Radar for
Il y a 6 mois
**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.
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: "Optimizing Signal Processing Algorithms in Dynamic Environments through Learning"**
This research topic delves into the functional aspect of cognitive radar systems. By implementing a learning strategy, the project aims to establish a functional framework for a metacognitive radar. Specifically, the focus lies in leveraging deep learning techniques to learn and select the most optimal algorithms for tasks such as waveform design, receiver configuration, and detection methods. The goal is to enhance radar performance in dynamic environments through intelligent algorithm selection.
**PhD Topic 2: "Enhancing Data Processing Techniques for Dynamic Environments through Learning"**
This research topic centers around the executive level of cognitive radar systems. The project endeavors to construct a functional framework for a metacognitive radar by employing a learning strategy. The primary objective is to develop proficiency in selecting the most effective algorithms for data processing tasks like segmentation, clustering, data association, and tracking, using a deep learning framework. The aim is to enhance radar capabilities in dynamic environments by leveraging intelligent algorithmic decision-making.
**Your Profile**:
- Radar Systems and Signal Processing
- Statistical Signal Processing
- Optimization methodologies
- Machine Learning and deep learning
Development skills in MATLAB/python/C++ is required and exposure to the latest signal processing techniques, linear algebra and deep learning are desirable. Exposure to HW prototyping using 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**:
- 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: UOL05822
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 Law, Finance and Financial Innovation, Education, Contemporary and Digital History. In addition, the University focuses on cross-disciplinary research in the areas of Data Modell
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