RESEARCHER POSITION IN COMMUNICATION NETWORK DIVISION
Descripción de la oferta de empleo
The Communication Networks Division of CTTC invites applications for an early-stage researcher (ESR) at pre-doctoral level in its Mobile Networks Department. The contract will be funded by EU-MSCA-GREENEDGE project, see https://greenedge-itn.eu/.
ESR Project title: End-to-end communication/computing resource management for low-latency beyond 5G MEC [GREENEDGE ESR14]
Contact names: Dr. Paolo Dini *****@***** and Dr. Sandra Lagén *****@*****
Application deadline: May 31, 2021
ESR Project Description: This project focuses on the design of end-to-end wireless network architectures and communication/compute resource management techniques for enabling high-capacity low-latency communications through a cost-effective and energy-efficient use of the wireless spectrum. Within the framework of next generation Open Radio Access Network (O-RAN) architectures, several radio/compute access techniques will be derived, which can be dynamically adjusted to the computation and communication requirements of different latency-critical scenarios (such as Industry 4.0 and vehicular scenarios) through novel mobility, interference, and computing management schemes. The strategies will consider convex optimization frameworks and machine-learning frameworks to optimize the available communication, networking, and computation resources to meet the requirements of future low latency services, while considering the challenging mobility, propagation, and traffic conditions of future scenarios.
Expected Results: Develop new end-to-end wireless network architectures and radio/compute resource management techniques based on theoretical analysis and system-level simulations. Theoretical analysis to assess the achievable gains of the proposed architectures and schemes, along with their fundamental performance limits. Machine-learning-based optimization of network configuration and critical system parameters. System-level simulations to compare theoretical performance limits with practical implementation’s performance.
Supervision and Mobility Program: Once hired, the candidate: i) will work at CTTC, performing full-time research under the supervision of Dr. Paolo Dini and Dr. Sandra Lagén. ii) will be enrolled in the PhD program at Universitat Politècnica de Catalunya (UPC), under the supervision of Mario Garcia Lozano. iii) will additionally pursue two secondments at CEA (Grenoble, France) and Nokia Bell Labs (NBL) (Stuttgart, Germany), for a respective duration of 5 months.
Requisitos del puesto
- At the time of recruitment, the applicant must not have lived in Spain for more than 12 months in the previous 36 months (3 years).
- No more than 4 years spent in research/work activities after the achievement of the MS degree.
- A Master’s degree in Telecommunications, Computer Science, Data Scienceor equivalent.
- Knowledge on mobile networks and cloud computing techniques.
- Programming skills (e.g., C/C++, Python, TensorFlow, Keras, PyTorch, SciKit, NumPy, R).
- Very good communication skills in oral and written English.
- Open-mindedness, strong integration skills and team spirit.
- Ability and motivation to conduct high-quality research, including publishing the results in relevant venues.
Desired Prerequisites skills:
- Working/research experience in the areas of mobile networks and cloud computing is an advantage.
- Knowledge of Optimization Theory (convex and non-convex optimizations) and Machine Learning (reinforcement learning and deep learning) is an advantage.
- Knowledge of next generation RAN architectures (O-RAN, 3GPP, and hybrid centralized-RAN) is an advantage.
- Experience with system-level simulations (e.g., ns-3) is an advantage.
- Previous MS-level training on machine learning techniques.
Required, means mandatory to pass the eligibility check. Preferred, means highly welcome and recommended. Desired, means additional, not strictly needed, but still very much appreciated.
Otros datos del puesto
The duration of the contract will be 3 years, starting between September and November 2021. The position corresponds to the R1 professional category at CTTC. The contract is subject to the rules of EU-MSCA-GREENEDGE Grant Agreement (including salary). You can find the details at: https://greenedge-itn.eu/phd-hiring-call/
Researchers interested in joining the Mobile Networks Department should send their curriculum vitae, and all the required documentation based on the following guide: https://greenedge-itn.eu/phd-hiring-call/
The application is made through the GREENEDGE website: https://guardiola.cttc.es/greenedge/form_papers.php
The Centre Tecnològic de Telecomunicacions de Catalunya (CTTC), in Castelldefels – Barcelona, is a growing and well-funded research institution fostering excellence and diversity. CTTC offers a highly international environment at an exceptionally attractive location. As a research centre in telecommunications technologies CTTC provides a fertile environment for research cooperation and innovation between different disciplines. The Communication Networks Division of CTTC aims at providing integrated view of complex network architectures. For more information, please visit http://networks.cttc.cat/. Inside the Communication Networks Division, the Mobile Networks department investigates methods to control complex network architectures through machine learning, optimal control and data analysis. For more information, please visit: http://networks.cttc.es/mobile-networks/research/sustainable-mobile-networks/
CTTC offers a young and multi-cultural environment aimed at fostering excellent research and development activities, providing access to an outstanding research network, top-tech labs, and all tools needed to conduct top-quality research and development activities.
CTTC seeks to increase the number of women in those areas where they are underrepresented and therefore explicitly encourages women to apply.
CTTC is committed to increasing the number of individuals with disabilities in its workforce and therefore encourages applications from such qualified individuals.
Detalles de la oferta
- 08860 - Av. Carl Friedrich Gauss 7
- Temporal, jornada completa
- Sin especificar
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