Job Description
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.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: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 ( ), 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’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 RolePhD Topic: “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.The student will provide support to validation by demonstrating the effectiveness of their research in real-world applications.For the PhD Topic, the candidate profile should have a strong background in machine learning and computer vision. Knowledge of radar processing is a plus. Excellent programming skills, particularly in Python or C++, would be beneficial. Knowledge of deep learning frameworks such as TensorFlow or PyTorch would also be an advantage.Your ProfileQualification: The candidate should possess (or be in the process of completing) a MSc degree or equivalent in Electrical/Electronic Engineering, Computer Science or Applied Mathematics or Physics with electromagnetic background.Experience: The ideal candidate should have good theoretical background in some of the following topics:Radar Systems and Signal ProcessingOptimization methodologiesMachine Learning and deep learningDevelopment 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 SnTA 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 guidanceExciting 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 betterThe right place for IMPACT. SnT researchers engage in demand-driven projects. Through our Partnership Programme, we work on projects with more than 55 industry partnersMultiple funding sources for your ideas. The University supports researchers to acquire funding from national, European and private sourcesCompetitive salary package. The University offers a 12 month-salary package, over six weeks of paid time off, meal vouchers and health insuranceBe part of a multicultural family. At SnT we have more than 60 nationalities. Throughout the year, we organise team-building events, networking activities and moreBoost your career. Students can take advantage of several opportunities for growth and career development, from free language classes to career resources and extracurricular activitiesBut wait, there’s more!Contract Type: Fixed Term Contract 36 Month (extendable up to 48 months if required)Work Hours: Full Time 40.0 Hours per WeekEmployee and student statusJob Reference: UOL06606The yearly gross salary for every PhD at the UL is EUR 40952 (full time)How to applyApplications should be submitted online and include:Full CV, including list of publications, bachelor/master thesis and names (and contact information including email addresses) of referencesTranscript of all modules and results from university-level courses takenResearch 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 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 LuxembourgUniversity 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 informationProject Description:“R4DAR” aims to leverage emerging 4D imaging technology with Massive MIMO to create image-like radar observations in a more efficient way. The project focuses on addressing existing gaps in knowledge of Massive MIMO for radar, functional limitations, and sensing robustness, while also incorporating new features and achieving lower system costs.R4DAR envisages two mutually complementary PhD topics, one based on optimization techniques for signal processing and the other based on AI-assisted detection and data processing.Supervisor: The students will be under the supervision of Dr. Mohammad Alaee, and Prof. Bhavani Shankar, who have supervised several PhD students in radar and signal processing. The degree issuing institution is the University of Luxembourg.Training: The candidates must collect at least 20 ECTS through activities including “Disciplinary/Inter-disciplinary courses”, “Research-associated training” and “Transferable Skills”.More information on the project topic and relevant publications can be found inFor further information, please contact us at and[Université du Luxembourg
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