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6g Networks Phd Candidates

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**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'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**
- 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
- 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**
- 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)
- 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).