Doctoral Candidate (PhD student) in Artificial Intelligence and Optimization of Satellite...
Interdisciplinary Centre for Security, Reliability and Trust (SnT), University of Luxembourg
Luxembourg
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source : Euraxess

OFFER DESCRIPTION

Doctoral Candidate (PhD student) in Artificial Intelligence and Optimization of Satellite Communications

Valid from 03 / 01 / 2022 to 07 / 03 / 2022)

Language : English (UK)

Country : Luxembourg

Organisation Interdisciplinary Centre of Security, Reliability and Trust

data :

Job Number : UOL04647

Contract Fixed Term Contract

Type : Duration 36 Month

Type :

Work Hours Hours per Week

Expected 01 / 06 / 2022

Start Date : About the SnT

About the SnT

The Interdisciplinary Centre for Security, Reliability and Trust (SnT) invites applications from highly motivated PhD candidates in the general area of

wireless communication and network optimization within its 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 / >

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 / >

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

Your Role

The PhD position is related to a new national project entitled SmartSpace (collaboration with SES (communications, with a focus on (i) large scale time-consuming optimization problems, (ii) estimation of unknown or inaccurate models / variables, (iii)

proactively react to congestion scenarios. The activity is led by Dr. Eva Lagunas.

The position holder will be required to perform the following tasks :

  • Contribute to the SmartSpace project by :
  • Defining promising use-cases for the ML / AI application
  • Generating / obtaining training data using SIGCOM tools such as SW simulators)
  • Running data analytics, AI / ML Training and Testing & comparison with optimization-based methods
  • Participating in outreach events related to general AI, inspiring young generations to be interested in AI-related topics
  • Attend and contribute to the project 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 power allocation, frequency assignment, scheduling, etc.)
  • Optimization techniques and tools (convex / non-convex optimization)
  • General knowledge on Machine Learning techniques 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 AGI STK or MATLAB related toolbox) 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 Hours per Week
  • Foreseen starting date : June 2022
  • Employee and student status
  • Location : Kirchberg
  • Job Reference : UOL04647
  • The yearly gross salary for every PhD at the UL is EUR (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 (approx. 1 page)
  • All qualified individuals are encouraged to apply.

    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 us at

    More Information

    Additional Information

    Web site for additional

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