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Position: Doctoral Candidate (PhD student) in QoE and Throughput Aware Radio Resource Optimization
Institution: University of Luxembourg
Location: Luxembourg City, Luxembourg
Duties: Running data analytics on real-data packages provided by SES and exploit the outcomes to model the temporal dynamics of real satellite traffic; Deriving and optimizing techno-economical models and radio resource assignment able to properly dimension current and future satellite systems, such that the yield is maximized without violating the users’ package requirements; Attend and contribute to the meetings with SES; Disseminate results through scientific publications; Present results in well-known international conferences and workshops
Requirements: Qualification: The candidate should possess a Master degree. Experience: The ideal candidate should have some knowledge and experience in a number of the following topics: Radio resource allocation/Radio resource management (e.g. power allocation, frequency assignment, scheduling, etc); Optimization techniques and tools (convex/non-convex optimization); General knowledge on Machine Learning techniques (e.g. clustering, deep learning, reinforcement learning); Background in general wireless communications; Knowledge of satellite communications is highly desirable but not mandatory; Knowledge of terrestrial wireless radio resource optimization techniques is considered an advantage; Programming skills in MATLAB are required; Programming skills with any satellite orbit emulator (e.g. AGI STK) would be a plus; Good oral presentation skills: The candidate will be required to present and defend his/her work in front of wide audience of experts; Language Skills: Fluent written and verbal communication skills in English are required
   
Text: UOL03994 30-Jun-2021 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 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 and network automation. 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 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 PhD position is related to a recent collaboration between SIGCOM group and SES ( www.ses.com ) whose objective is to properly dimension contention ratios and optimizing the satellite radio resources, such that the offered service comply with the expected Quality-of-Experience (QoE) promised in the customer packages. The activity is led by Prof. Symeon Chatzinotas. The position holder will be required to perform the following tasks: Contribute to the SIGCOM-SES collaboration by: Running data analytics on real-data packages provided by SES and exploit the outcomes to model the temporal dynamics of real satellite traffic Deriving and optimizing techno-economical models and radio resource assignment able to properly dimension current and future satellite systems, such that the yield is maximized without violating the users’ package requirements Attend and contribute to the meetings with SES Disseminate results through scientific publications Present results in well-known international conferences and workshops Your Profile Qualification : The candidate should possess a Master degree. Experience : The ideal candidate should have some knowledge and experience in a number of the following topics: Radio resource allocation / Radio resource management (e.g. power allocation, frequency assignment, scheduling, etc) Optimization techniques and tools (convex / non-convex optimization) General knowledge on Machine Learning techniques (e.g. clustering, deep learning, reinforcement learning). Background in general wireless communications Knowledge of satellite communications is highly desirable but not mandatory. Knowledge of terrestrial wireless radio resource optimization techniques is considered an advantage. Programming skills in MATLAB are required. Programming skills with any satellite orbit emulator (e.g. AGI STK) would be a plus. Good oral presentation skills: The candidate will be required to present and defend his/her work in front of wide audience of experts. 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: 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: UOL03994 Further Information Applications should be submitted online and 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 (approx. 1 page) All qualified individuals are encouraged to apply. Deadline for applications: 30 June 2021. 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. The University`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 us at eva.lagunas@uni.lu
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