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Position: Doctoral Candidate (PhD student) in Modeling and Design of Mobile Networks Assisted by Reconfigurable Intelligent Surfaces
Institution: University of Luxembourg
Location: Luxembourg City, Luxembourg
Duties: The objectives of the PhD project are defined in accordance with the project directions. More precisely, the PhD project aims at addressing channel modeling and characterization for mobile relays enhanced by reconfigurable intelligent surfaces (RIS) within the concept of Smart Cities. Here, one of the objectives will be to analyze various mobility profiles associated with the concept of Smart Cities. for each profile, various techniques of system modeling, such as Markov chains, machine learning, and analytical derivations, will be employed. Depending on the resulting channel models, various aspects of network design with multiple mobile RIS will be tackled via joint optimization. The successful candidate will work under the academic supervision of Prof. Ottersten (University of Luxembourg) and join a strong and motivated research team of SnT. The position holder will be required to perform the following tasks: Contribute to the national project “RISOTTI”; Project website: RISOTTI; Carry out research in the predefined areas; Disseminate results through scientific publications; Present results in well-known international conferences and workshops
Requirements: Qualification: The candidate should possess a Master degree in Electronic Engineering, Computer Science or similar. Experience: The ideal candidate should have knowledge and experience in the following topics: Strong background on wireless communications; Background on synchronization and estimation theory; Modeling of wireless channels; Optimization techniques and tools; Resource allocation; Machine learning and statistical inference; Programming skills in MATLAB, C/C++ or Python; Language Skills: Fluent written and verbal communication skills in English are required
   
Text: UOL03718 31-Dec-2099 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. 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! The Interdisciplinary Centre for Security, Reliability and Trust (SnT) invites applications from highly motivated PhD candidates in the area of channel estimation and resource allocation for emerging wireless networks within its Signal Processing and Communications (SIGCOM) research group. SnT carries out interdisciplinary research in secure, reliable and trustworthy ICT systems and services, often in collaboration with industrial, governmental or international partners. For further information, you may refer to www.securityandtrust.lu . The SIGCOM research group is headed by Prof. Symeon Chatzinotas and Prof. Björn Ottersten. The team focuses on signal processing for satellite/wireless communications/networking and radar applications. The research on communications focuses on the formulation, modelling, design, and analysis of future communication networks (beyond 5G) that are capable of supporting new services in a cost efficient manner. In the B5G domain, SIGCOM addresses large antenna systems, multiuser MIMO systems, Non orthogonal Multiple Access, radio resource management, mmWave beamforming, physical layer security, full duplex systems, wireless power transfer, software defined networking, network automation, and reconfigurable intelligent surfaces. In the satellite domain, SIGCOM addresses transceiver design, onboard processing, active antennas, multi-beam processing, optical communications, localization, spectrum monitoring and network performance optimization. The analysis is based on traditional statistical and optimization methods, as well as learning-assisted approaches for offline training and operational system monitoring/control. The communication activities are supported by CommLab, which exploits Software Defined Radios for fast prototyping and demonstration. For further information, you may refer to https://wwwen.uni.lu/snt/research/sigcom . Your Role This is a fully funded position for 3 years (extendable to an additional 4 th year) within a large, national research project ( RISOTTI - R econfigurable I ntelligent S urfaces f O r Smar T Ci TI es). The objectives of the PhD project are defined in accordance with the project directions. More precisely, the PhD project aims at addressing channel modeling and characterization for mobile relays enhanced by reconfigurable intelligent surfaces (RIS) within the concept of Smart Cities. Here, one of the objectives will be to analyze various mobility profiles associated with the concept of Smart Cities. For each profile, various techniques of system modeling, such as Markov chains, machine learning, and analytical derivations, will be employed. Depending on the resulting channel models, various aspects of network design with multiple mobile RIS will be tackled via joint optimization. The successful candidate will work under the academic supervision of Prof. Ottersten (University of Luxembourg) and join a strong and motivated research team of SnT. The position holder will be required to perform the following tasks: Contribute to the national project “RISOTTI” Project website: RISOTTI Carry out research in the predefined areas Disseminate results through scientific publications Present results in well-known international conferences and workshops Your Profile Qualification: The candidate should possess a Master degree in Electronic Engineering, Computer Science or similar. Experience: The ideal candidate should have knowledge and experience in the following topics: Strong background on wireless communications Background on synchronization and estimation theory Modeling of wireless channels Optimization techniques and tools Resource allocation Machine learning and statistical inference Programming skills in MATLAB, C/C++ or Python 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 45 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, health insurance and subsidised living and eating 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 But wait, there’s more! Complete picture of the perks we offer Discover our Partnership Programme Download the brochure: Why choose SnT for your PhD? Students can take advantage of several opportunities for growth and career development, from free language classes to career resources and extracurricular activities. In Short Contract Type: 36 months fixed-term contract (extendable up to 48 months if required) Work Hours: Full Time 40.0 Hours per Week Location: Kirchberg Employee and student status Job Reference: UOL03718 Further Information Application should include: Full CV, including: For each degree received or currently enrolled in, provide the degree, institution name, institution city and country, and date (or expected date) of graduation. Include the title and short summary of your final (Bachelor / Master) Thesis if you did one. List of publications (if any) Name, affiliation and contact details of three referees Transcript of all modules and results from university-level courses taken Cover letter with motivations and topics of particular interest to the candidate (approx. 1 page). 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 The University of Luxembourg aspires to be one of Europe’s most highly regarded universities with a distinctly international and interdisciplinary character . It fosters the cross-fertilisation of research and teaching , is relevant to its country, is known worldwide for its research and teaching in targeted areas, and is establishing itself as an innovative model for contemporary European Higher Education. It`s core asset is its well-connected world-class academic staff which will attract the most motivated, talented and creative students and young researchers who will learn to enjoy taking up challenges and develop into visionary thinkers able to shape society. Further information For further information, please contact Dr. Steven Kisseleff at steven.kisseleff@uni.lu
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