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PhD candidate in Risk-aware Multiagent RL-based Resource Management for Multilayer Ground-Air-Space Networks

25 Jan 2023

Job Information

Interdisciplinary Centre for Security, Reliability and Trust (SnT), University of Luxembourg
Research Field
Computer science
Juridical sciences
Researcher Profile
Recognised Researcher (R2)
Leading Researcher (R4)
First Stage Researcher (R1)
Established Researcher (R3)
Application Deadline
Type of Contract
Job Status
Is the job funded through the EU Research Framework Programme?
Not funded by an EU programme
Is the Job related to staff position within a Research Infrastructure?

Offer Description

PhD candidate in Risk-aware Multiagent RL-based Resource Management for Multilayer Ground-Air-Space Networks
(Valid from 24/01/2023 to 28/03/2023)

Language: English (UK)
Country: Luxembourg

Organisation Interdisciplinary Centre of Security, Reliability and Trust
Job Number: UOL05413
Contract Fixed Term Contract
Duration 36 Month
Schedule Full Time
Work Hours 40.0 Hours per Week
Expected 01/04/2023
Start Date:

Job Doctoral Researcher
Functions: PhD Candidates

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 mainly carries out research activities in the areas of signal processing for
wireless communication systems, including satellite communications, and is currently expanding its research activities towards quantum information
systems. Use cases of interest include IoT verticals, unmanned aerial vehicles, integrated satellite-space-terrestrial networks, quantum communications
and key distribution, spectrum management and coexistence, tactile Internet, and autonomous transportation. Furthermore, our activities are
experimentally driven and supported by the SDR CommLab, the SDN Lab, the 5G-Space Lab, our SW Simulators, and our OTA Facilities. 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
right place!

Your Role
This is a fully funded position for 4 years. The successful candidate is expected to work on the design of autonomous, safe and efficient collaborative
transmission strategies based on Risk-aware Multiagent Reinforcement Learning for multilayer Ground-Air-Space 6G networks. The design strategies will be
optimized for 1) RAN resource allocation, 2) 3D mobility management and 3) risk minimization to guarantee constraints in dynamic environment. The
research question is how to optimally design distributed communication strategies at every network node to safely and timely serve heterogeneous service
types under highly dynamic environment. This will provide an efficient and distributed execution strategy for multi-agent systems under limited and
error-prone communication networks, while fulfilling the vertical services requirements.

The successful candidate will work under the supervision of Dr. Thang X. Vu and join a strong and motivated research team lead by Prof. Symeon

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

* Work on an emerging research topic of Multiagent Reinforcement Learning-based Resource Management for multi-layer ground-air-space networks
* Carry out research in the areas: i) Radio resource allocation, ii) 3D mobility and flow management, and iii) Risk-minimization for constrained
* Contribute to the National FNR CORE project “RUTINE: Distributed and Risk-aware Multi-Agent Reinforcement Learning for Resources and Control
Management in Multilayer Ground-Air-Space Networks”
* Disseminate results through scientific publications in the top-tier venues
* Present results in top-tier international conferences and workshops

Your Profile
Qualification: The candidate should possess a Master degree in Electrical Engineering, Computer Science, or equivalence.

Experience: The ideal candidate should have some knowledge and experience in a number of the following topics:

* Background in general wireless communications. Experience in one of following areas is an advantage: multiuser and multiantenna systems, unmanned
aerial vehicle, task/goal/semantic-based communications
* Radio resource allocation/ Radio resource management (e.g., bandwidth and power allocation, scheduling, etc)
* Experience in machine learning (both theory and application) and/or multiagent reinforcement learning is an advantage
* Optimization techniques and tools: convex optimization, successive convex approximation
* Programming skills in MATLAB are required. Experience in Python is an advantage

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
55 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, meal vouchers and health insurance
* 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
* Boost your career. Students can take advantage of several opportunities for growth and career development, from free language classes to career
resources and extracurricular activities

But wait, there’s more!

* Complete picture of the perks we offer
* Discover our Partnership Programme

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: UOL05413

The yearly gross salary for every PhD at the UL is EUR 38028 (full time)

How to apply
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 two 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 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. Thang X. Vu at

Apply here…


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Interdisciplinary Centre for Security, Reliability and Trust (SnT), University of Luxembourg