Indirizzo
Forma di lavoro(Valid from 15/02/2024 to 31/07/2024)
Language: English (UK)
Country: Luxembourg
Organisation data: Interdisciplinary Centre of Security, Reliability and Trust
Job Number: UOL06269
Contract Type: Fixed Term Contract
Duration 24 Month
Schedule Type: Full Time
Work Hours 40.0 Hours per Week
Expected Start Date: 01/05/2024
Functions: Research support
Job (internal): Research support technician
About the SnT...
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.
The SPARC group in SnT is pursuing research on the signal processing applications in radar and communications systems in partnership with national and international academic and industrial collaborators. Updated information about the recent activities of SPARC can be found here: www.radarmimo.com/
The group has been working on mmWave radar sensors in different applications, including automotive, indoor sensing, in-cabin monitoring, occupancy sensing, drones, multi-copters, gesture recognition, smart buildings, smart street lighting, smart factories, healthcare, and robotics. The emerging radar sensors that are in use by the group, are using multiple input multiple output (MIMO) technology and can be connected to build a distributed and co-operative network. To develop the signal processing techniques, the group researchers are using real data captured by the available radar modules at the lab, or the custom-built MIMO radar with flexibility of changing the transmit waveform and signal processing units on the fly.
Personnel at SPARC have been involved in several seminal papers, book chapters and books in the field of waveform optimization, vital signs monitoring, joint radar and communications, sparse arrays, interference modelling, 4D imaging radars, distributed sensing, and tracking. SPARC has also collaborated with long term industry partner IEE S.A (www.iee.lu), University of Naples Federico II, US Airforce Laboratories, TU Berlin, and TU Munich, among others. Personnel at SPARC have also been involved in European Research Council (ERC) Advanced Grant and in ERC Proof-of-Concept activities. Recently, an alumnus of the group received the Excellent Thesis Award from the University of Luxembourg.
We are currently seeking a highly motivated and skilled Research Technician to join our radar laboratory. As a Research Technician, you will play a crucial role in supporting and conducting research activities focused on radar technology. You will work closely with our team of researchers and engineers to contribute to the advancement of radar systems and applications.
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...
The applicant will be involved on a selection of building the following prototypes:
- Cognitive and metacognitive radar systems
- 4D imaging massive MIMO radar systems
- Integrated sensing and communications
- Weather sensing, and drone-based imaging
- Distributed indoor sensing, vital signs monitoring, and multi-modal sensing
Responsibilities:
- Design and implement a Metacognitive Massive MIMO radar setup using USRPs in collaboration with the engineering team
- Implement FPGA programming for RF SoCs in the context of radar applications, optimizing RF hardware
- Develop Qt C++ software to control and synchronize multiple USRPs for MIMO radar operation
- Set up, calibrate, and maintain mmWave radar sensor systems in the lab for indoor sensing applications
- Collaborate with researchers to develop and execute various lab experiments using 4D imaging MIMO mmWave radar sensors
- Create user guides, tutorials, and documentation to support the use of the MIMO radar setup by researchers and students
- Stay updated on advancements in MIMO radar technology, VHDL, Code composer studio, LabVIEW/C++ programming, mmWave radars, and USRPs
- Contribute to the development and testing of new radar technologies and algorithms
- Assist in preparing research reports, documentation, and technical presentations
- Ensure compliance with laboratory safety protocols and guidelines
Your Profile...
Requirements:
- Master of science degree in Electrical Engineering, computer science, or a related field
- Knowledge and experience in working with USRPs, SDRs, mmWave radar sensors, FPGA programming for RF SoCs, and RF hardware components
- Prior experience in a research or laboratory setting, preferably in radar technology
- Proficiency in operating radar equipment and software
- Strong analytical and problem-solving skills
- Knowledge of data analysis techniques and software tools
- Excellent organizational and time management abilities
- Effective communication and teamwork skills
- Willingness to learn and adapt to new technologies and methodologies
- Attention to detail and a commitment to producing high-quality results
Preferred Qualifications:
- Experience with radar signal processing techniques
- Familiarity with programming languages such as VHDL, C/C++, Python or MATLAB
- Strong knowledge and experience in working with mmWave radar sensors, USRPs, SDRs, LabVIEW, Python, GNU Radio, FPGA programming for RF SoCs, and RF hardware components
- Knowledge of machine learning and deep learning concepts
- Understanding of radar system components and their functionalities
Language Skills: Fluent written and verbal communication skills in English are required.
Here’s what awaits you at SnT...
- 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
- 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
Find out more about us!
In Short...
- Contract Type: Fixed Term Contract 24 Month
- Work Hours: Full Time 40.0 Hours per Week
- Location: Kirchberg
- Internal Title: Research support technician
- Job Reference: UOL06269
How to apply...
Applications should include:
- Full CV, including list of publications, bachelor/master thesis and names (and contact information including email addresses) of references
- Transcript of all modules and results from university-level courses taken
- Research statement and topics of particular interest to the candidate (300 words)
All qualified individuals are encouraged to apply.
Early application is highly encouraged, as the applications will be processed upon reception. Please apply ONLINE formally through the HR system. Applications by Email will not be considered.
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 Modelling and Simulation as well as Health and System Biomedicine. Times Higher Education ranks the University of Luxembourg #3 worldwide for its “international outlook,” #20 in the Young University Ranking 2021 and among the top 250 universities worldwide. Further information
Project:
During the past two decades, enabling cognition in radar has heralded a new era of radar system design and engineering. Cognitive radars offer advanced sensing capabilities by quickly optimizing both transmit and receive processing in response to the changes in the target environment. These systems reveal unique opportunities in remote sensing by encouraging greater control of transmitters and higher adaptability of receivers than their non-cognitive counterparts. In general, a cognitive radar is designed to apply a single specific framework or algorithm to achieve its desired performance based on a pre-determined criteria. Since radars perform a variety of tasks such as detection, estimation, and tracking, in practice, a single cognitive radar framework is insufficient to address changes in the system hardware and channel environment over long periods of time. Further, as the complexity of radar system increases (e.g., use of multiple antennas and waveforms) and the channel conditions worsen (low signal-to-noise-ratio/SNR and presence of clutter), a single cognitive algorithm is unable to address the changing performance requirements. Thus, conventional cognitive radars face several challenges in not only making intelligent abstraction of received data in real-time but also adapting sensing techniques to a highly dynamic and complex environment.
To address challenges beyond the conventional cognitive radars, there has been a surge of interest to enhance, enable, and engineer novel processing methods to achieve more complex levels of cognition. In such cases, a strategy to combine various cognitive frameworks in a metacognitive radar is highly desirable. Researchers in SPARC have been working on the theoretical aspects of devising and evaluating metacognition techniques. This project is aimed to bring this research closer to practice and involves prototyping the devised metacognitive aspects towards developing next generation cognitive abilities in radar systems.
For further information, please contact us at mohammad.alaee@uni.lu and Bhavani.Shankar@uni.lu
