About the SnT
The University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character.
The Interdisciplinary Centre for Security, Reliability and Trust (SnT) at the University of Luxembourg is a leading international research and innovation centre in secure, reliable and trustworthy ICT systems and services.
We play an instrumental role in Europe by fueling innovation through research partnerships with industry, boosting R&D investments leading to economic growth, and attracting highly qualified talent. We look for researchers from diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and ICT Services & Applications. SnT carries out interdisciplinary research in secure, reliable and trustworthy ICT (Information and Communication Technologies) systems and services, often in collaboration with governmental, industrial and international partners. SnT is active in several national projects funded by National Research Fund (FNR) and local industries, and international research projects funded by the EU FP7 programme, H2020 programme, and the European Space Agency (ESA). For further information, you may check:
The SigCom research group carries out research activities in the areas of signal processing for wireless communication systems, including satellite and 5G/6G communications. It is expanding its research activities to explore several emerging use cases of next-generation wireless communications systems and methods for enhancing the physical layer security of next-generation wireless systems against threats such as jamming attacks. For details, you may refer to the following:
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 successful candidate is expected to perform the following tasks:
- Carrying out novel research works in one of the following predefined areas
- Novel communications technologies for Beyond 5G/6G networks and services
- Cellular, UAV, IoT, Tactile Internet, MEC, V2X, D2D, M2M, eMBB, mMTC and URLLC
- Machine learning/deep learning techniques and Artificial Intelligence for wireless communications
- Reinforcement learning, active learning, transfer learning, federated learning and interpretable/explainable AI
- Software defined networking, network virtualization and network slicing for wireless networks
- Energy-efficient communication technologies
- Energy harvesting, SWIPT, backscatter communications and reconfigurable intelligent surfaces
- Advanced multi-antenna technologies for B5G/6G wireless networks
- Massive MIMO, cell-free massive MIMO, beamspace massive MIMO, active antennas, smart antennas, precoding, hybrid analog-digital beamforming and 3D beamforming
- Communications technologies at the higher frequencies
- mmWave, TeraHertz and optical
- Communication technologies for Tactile Internet applications including wireless augmented/virtual reality and teleoperation systems
- Quantum-assisted communication technologies for 6G wireless networks
- Disseminating results through scientific publications
- Presenting results in the well-known international conferences and workshops
Your profile
The candidate should possess an M.Sc./M.Eng. Degree in Telecommunication Engineering, signal processing, machine learning or a closely related field in Electronic, Electrical and Computer Engineering.
The ideal candidate should have been within top 10% of class during his/her graduation, and should have published at least one authored conference paper in an international conference or one authored journal paper in an international journal.
The candidate should have some knowledge and experience in some of the following topics/tools:
- 5G wireless communications technologies
- Wireless Internet of Things (IoT) technologies
- Unmanned Aerial Vehicles (UAVs)
- Resource allocation and optimization
- Network virtualization and network slicing
- MAC techniques/protocols for wireless systems
- Graph signal processing
- Machine learning (supervised, unsupervised and reinforcement) and tools (TensorFlow, PyTorch, Keras and GreyCat)
- Deep learning (deep neural network, recurrent neural network, LSTM)
- Optimization theory
- Stochastic geometry
Programming skills: MATLAB, Python or C++
Language Skills: Fluent written and verbal communication skills in English are mandatory
We offer
- Multilingual and international character. Modern institution with a personal atmosphere. Staff coming from 90 countries. Member of the "University of the Greater Region" (UniGR)
- A modern and dynamic university. High-quality equipment. Close ties to the business world and to the Luxembourg labour market. A unique urban site with excellent infrastructure
- A partner for society and industry. Cooperation with European institutions, innovative companies, the Financial Centre and with numerous non-academic partners such as ministries, local governments, associations, NGOs …
How to apply
Applications, written in English should be submitted online and include:
- Curriculum Vitae (including your contact address, work experience, publications)
- Cover letter indicating the research area of interest and your motivation
- A research statement (max. 1 page)
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.
All qualified individuals are encouraged to apply. In line with our values, the University of Luxembourg promotes an inclusive culture. We encourage applications from individuals of all backgrounds and are dedicated to upholding equality and respect for our employees and students.
General information:
- Contract Type: Fixed Term Contract 36 Months (extendable up to 48 months if required)
- Work Hours: Full Time 40.0 Hours per Week
- Location: Kirchberg Campus
- Internal Title: Doctoral Researcher
- Job Reference: UOL03167
The yearly gross salary for every PhD at the UL is EUR 40952 (full time).
