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
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
This is a fully funded position for 3 years (extendable to an additional 4th year) within a large, national research project (RISOTTI – Reconfigurable Intelligent Surfaces fOr SmarT CiTIes). 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 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 some of the following topics:
- Strong background on wireless communications
- Background on signal processing 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: Fluentwritten 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
- Employee and student status
- Location: Kirchberg
- Job Reference: UOL04746
The yearly gross salary for every PhD at the UL is EUR 37.101,36 (full time)
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 and topics of particular interest to the candidate (approx. 1 page)
All qualified individuals are encouraged to apply.
Please apply by 30/04/2022 - then the posting will remain online until filled. 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 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
For further information, please contact Dr. Steven Kisseleff (steven.kisseleff@uni.lu)
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