Industrial PhD Research for Doctoral Network EMPOWER6G

Organisation / Company : Iquadrat Informatica SL

Department : Research & Development

Research Field : Engineering

Researcher Profile : First Stage Researcher (R1)

Positions : PhD Positions

Country : Spain

Application Deadline : 31 Dec 2024 - 00 : 00 (Europe / Madrid)

Type of Contract : Temporary

Job Status : Full-time

Hours Per Week : 40

Offer Starting Date : 28 Feb 2025

Is the job funded through the EU Research Framework Programme? Horizon 2020

Reference Number : 101120332

Is the Job related to staff position within a Research Infrastructure? No

Offer Description

IQUADRAT INFORMATICA S.L (IQU) is a technology company founded in 1997, focusing on delivering system-level evaluation tools for wireless networks. IQU R&D has been providing global solutions and services in the use of Internet and Telecommunications to companies and institutions that utilize information and communication technologies in commercial, marketing, management, and business communication areas. IQU’s R&D is involved in numerous National and EU-funded research projects, with extensive know-how in 5G / 6G communication platforms, IoT platforms, and Demand Response algorithms for the Smart Grid.

IQU's R&D department is looking for three Doctoral Candidates in the framework of the Marie Curie Doctoral Network EMPOWER6G funded by the European Commission.

You can find more information on this project at EMPOWER6G. The Doctoral Network is led by IQUADRAT and comprises top European partners in the field such as ISI Athena, Katholieke Universiteit Leuven, IS-WIRELESS, Chalmers Tekniska Hogskola, National Technical University of Athens, Infinera, SIAE Microelettronica, NVIDIA, and Universitat Oberta de Catalunya.

EMPOWER-6G is a newly launched Marie Skłodowska-Curie Doctoral Network that offers fifteen (15) PhD positions in eight European countries. The project aims to develop a breakthrough converged optical-wireless architecture that enables an efficient 6G Cell-Free (CF)-based access network for achieving a 1 Tb / s peak data rate and deployments with over 107 devices / km2, supporting new advanced user services (e.g., holographic telepresence, advanced AR / VR, massive digital twinning, flying networks, etc.).

Minimum Requirements

• Must hold a Master’s in Electrical Engineering, Computer Science / Engineering, Math / Physics / Statistics, or a related field
• Track record of research excellence
• Good communication skills
• Please include your internship availability in your application

Specific Requirements

Candidates must also meet the following criteria :

Languages : ENGLISH, Level : Good

Years of Research Experience : 1 - 4

Additional Information

The Doctoral Candidates (DC) enrolments come with attractive employment conditions and competitive salaries offered in Marie Curie Doctoral Networks. The selected DCs will join top-class research groups and have a unique opportunity to pursue a career in wireless communications and networking. Working in this ambitious research project could lead to the successful completion of a doctoral degree, together with a strong joint multidisciplinary research training program in the field of wireless and optical networks. The planned mobility among eight EU countries and ten institutions is a significant advantage of these job positions.

Selection Process

You should submit your CV through a dedicated site :

This position targets optimizing the operation of Distribution Unit and Near-RT-RIC through ML-driven resource scheduling, and developing CF-enabled central-unit and distribution-unit components in the form of RAN VNFs, integrating CF high-PHY functions.

Position 2 : Coordination of closed-loop ML control mechanisms at all network tiers, targeting optimal deployment of Software-Defined Transport Network Controllers at the fixed segment of the EMPOWER-6G architecture.

Position 3 : Intelligent traffic engineering methodologies for converged optical-wireless networks with CF support, focusing on developing traffic management and load balancing algorithms supporting both fixed and wireless users.

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