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15 Phd Candidate Positions for The European
hace 4 meses
Empresa: Universidad Carlos III
- Nº de Plazas: 15
- Referencia: MiFuture Gestor de Proyecto
- Publicada el 16/11/2023
- Publicada hasta el 16/2/2024
- Tipo de Contrato: Sin especificar
- Dedicación: Sin especificar
- Localidad: Madrid
- Provincia: Madrid
- Disponibilidad para viajar: Sin especificar
- Fecha de Incorporación: ASAP, preferably before June 2024.
- Fecha de Finalización: 36 months
- Nível Académico
Master
- Áreas tecnológicas
P-16 Telecomunicaciones
- Idiomas
Idioma: Inglés
Nível Lectura: Alto
Nível Escrito: Alto
Nível Conversación: Alto
- Experiência
- Otros
- The vision of MiFuture is that an evolution of massive multiple input - multiple output (MIMO), the technique that has provided the unprecedented spectral efficiency of 5G, towards ultra-massive MIMO (UmMIMO), will be a key ingredient in the future mobile radio access network. MiFuture will pave the path towards the implementation of heterogeneous cell-free networks with an ultra-massive number of antennas that will satisfy the throughput, energy efficiency, positioning accuracy and feasible complexity requirements that the evolution of mobile communications towards 6G demands.
- Universidad Carlos III de Madrid, Spain
- Instituto de Telecomunicaçoes, Portugal
- Tampere University, Finland
- Lund University, Sweden
- Universidad Autónoma de Barcelona, Spain
- Vodafone, Spain
- Ericsson, Finland
- Ericsson, Sweden
- Nokia, Poland
- Nokia Bell Labs, Finland
- Keysight, Belgium
- Altys Technologies, France
The research topics for the offered positions are as follows:
1. Waveform design for joint communications and sensing
2. Non-coherent approaches for ultra-massive MIMO
3. Very low complexity implementations of ultra-massive MIMO
4. Channel estimation and tracking aided by positioning
6. Clutter characterization and cancellation in MIMO sensing via backscattered signals
7. AI-native procedures and protocols for Ultra Massive MIMO
8. Joint positioning and spatial resource allocation for cell free systems
9. Machine Learning methods for Cell-free systems in 6G networks
10. Positioning and tracking of non-connected objects for vehicular safety with mmW frequencies
11. Extrapolating channel models for ultra-massive MIMO using sparse measurement data
12. Sensing bounds and algorithms for perceptive cell-free networks with hybrid intelligent surfaces
13. Mid-band channel characterization for joint communication and sensing
14. Machine learning based environment awareness for enhanced communication and sensing
15. UE aspects of ultra-massive MIMO
**_ Conditions_**
- Competitive annual salary.
- Full time dedication with flexible working conditions.
- Application deadline: continuous evaluation until the position is filled.
- Contract duration: 36 months.
- Starting date: ASAP, preferably before June 2024.
**_Applications_
